A method for optimizing the main interface layout of a car central control screen based on driver hand accessibility and visual interaction

Abstract

A kind of car central control screen main interface layout optimization method based on driver hand accessibility and visual interaction, the present application belongs to the technical field of automobile ergonomics, specifically relates to car central control screen main interface layout optimization method.The purpose of the present application is to solve the problem that the accuracy of car central control screen main interface layout is low due to not considering driver hand and eye index when using existing method to layout car central control screen main interface.The process is as follows:establishing a three-dimensional coordinate system of car cockpit space;collecting driver hand performance index when driver performs touch control task in different central control screen main interface layout;collecting driver eye movement index at the same time;calculating hand accessibility evaluation score of car central control screen main interface layout;calculating visual interaction evaluation score of car central control screen main interface layout;calculating comprehensive evaluation score of each car central control screen main interface layout;selecting the central control screen main interface layout corresponding to the highest value of comprehensive evaluation score as the optimal main interface layout.

Description

Technical Field

[0001] This invention belongs to the field of automotive human-machine engineering technology, specifically relating to a method for optimizing the layout of the main interface of a car's central control screen based on the driver's hand accessibility and visual interaction. Background Technology

[0002] With the continuous development of automotive intelligence and informatization, the central control screen of the car, as an important interface for human-vehicle interaction, has gradually become a core platform integrating multiple functions such as vehicle information display, entertainment control, and navigation operation. Whether its layout is reasonable or not directly affects the ease of visual search and hand touch for the driver during touch interaction, thereby affecting the completion time of the entire interaction process, and ultimately affecting the driver's user experience and driving safety when performing interaction under dynamic driving conditions.

[0003] Currently, domestic and international scholars mainly use three methods to evaluate the layout of the main interface of the car's central control screen: (1) evaluating the layout of the main interface of the car's central control screen based on the driver's physiological indicators, such as cognitive load and the rate of change of EEG waveform. (2) evaluating the layout of the main interface of the car's central control screen based on the driver's eye movement indicators, such as saccade time and fixation time. (3) determining the optimal layout of the main interface of the car's central control screen based on subjective evaluation methods such as expert scoring and questionnaire surveys.

[0004] In summary, existing research on the evaluation of the main interface layout of automotive central control screens mainly relies on experimental data to compare the advantages and disadvantages of different main interface layouts. It ignores the impact of driver hand accessibility and visual interaction on the overall touch interaction process, and fails to provide theoretical guidance for optimizing the main interface layout of central control screens. As a result, the evaluation of the main interface layout of automotive central control screens is not comprehensive and accurate enough. Summary of the Invention

[0005] The purpose of this invention is to solve the problem that the layout of the main interface of the car's central control screen does not take into account the driver's hand and eye indicators when using existing methods, resulting in low accuracy of the layout. Therefore, this invention proposes a method for optimizing the layout of the main interface of the car's central control screen based on the driver's hand accessibility and visual interaction.

[0006] The specific process of a method for optimizing the layout of the main interface of a car's central control screen based on driver hand accessibility and visual interaction is as follows:

[0007] Step 1: Establish a three-dimensional coordinate system for the car cockpit space;

[0008] Collect driver hand performance indicators when performing touch tasks on different central control screen main interface layouts; simultaneously collect driver eye movement indicators;

[0009] Step 2: Fit the Fitts Law quantitative formula based on the driver's hand performance index, and calculate the hand accessibility score of the main interface layout of the car's central control screen.

[0010] Step 3: Fit the Hick's Law quantification formula based on the driver's eye movement index, and calculate the visual interaction score of the main interface layout of the car's central control screen.

[0011] Step 4: Calculate the overall score for the layout of the main interface of each car's central control screen;

[0012] The layout with the highest overall score among all car infotainment screen layouts is selected as the optimal layout.

[0013] The beneficial effects of this invention are as follows:

[0014] This invention obtains driver hand and eye performance indicators through driving simulation tests. Then, it uses Fitts' Law quantification formula for linear fitting to evaluate the main interface layout based on hand movements; and Hick's Law quantification formula for linear fitting to evaluate the main interface layout based on visual movements. By combining the hand and visual evaluations, a comprehensive score is calculated for the main interface layout, thus identifying the optimal main interface layout among different automotive center console screen layouts. This invention can comprehensively quantify and evaluate the main interface layout of automotive center console screens with different screen sizes, numbers, and arrangements of icons. It is not only suitable for comparing different main interface layouts but also for providing automakers with reasonable suggestions regarding center console screen layouts, improving the accuracy of automotive center console screen main interface layouts, thereby enhancing the driver's experience and driving safety. Attached Figure Description

[0015] Figure 1 This is a flowchart of the method of the present invention;

[0016] Figure 2 This is a schematic diagram of the layout of the main interface of the central control screen;

[0017] Figure 3 This is a schematic diagram of the hand-accessible interactive area of ​​the central control screen. Detailed Implementation

[0018] Specific Implementation Method 1: The specific process of this implementation method for optimizing the layout of the main interface of a car's central control screen based on the driver's hand accessibility and visual interaction is as follows:

[0019] Step 1: Establish a three-dimensional coordinate system for the car cockpit space;

[0020] Collect driver hand performance indicators when performing touch tasks on different central control screen main interface layouts; simultaneously collect driver eye movement indicators;

[0021] Step 2: Fit the Fitts Law quantitative formula based on the driver's hand performance index, and calculate the hand accessibility score of the main interface layout of the car's central control screen.

[0022] Step 3: Fit the Hick's Law quantification formula based on the driver's eye movement index, and calculate the visual interaction score of the main interface layout of the car's central control screen.

[0023] Step 4: Calculate the overall score for the layout of the main interface of each car's central control screen;

[0024] The layout with the highest overall score among all car infotainment screen layouts is selected as the optimal layout.

[0025] Specific Implementation Method Two: This implementation method differs from Specific Implementation Method One in that a three-dimensional coordinate system for the car cockpit space is established in step one;

[0026] Collect driver hand performance indicators when performing touch tasks on different central control screen main interface layouts; simultaneously collect driver eye movement indicators;

[0027] The specific process is as follows:

[0028] Step 11: Establish a three-dimensional coordinate system for the car cockpit; the specific process is as follows:

[0029] The cockpit space coordinate system is established with the center point of the steering wheel as the origin of the three-dimensional coordinate system, the front and rear horizontal plane from the front to the rear of the vehicle as the x-axis, the left and right horizontal planes as the y-axis, and the vertical xy plane as the z-axis.

[0030] Driving simulation tests were conducted using SCANeR driving simulation software and a full-vehicle driving simulator.

[0031] Based on the percentiles of human body dimensions and vehicle ergonomic layout specifications as design guidelines, and in accordance with the requirements of SAE standards for occupant layout tools and vehicle seat layout tools, the specifications select the position of the driver's right shoulder against the seat back, the position of the center of the eyes, and the position of the central control screen in the cockpit (the position of the right shoulder against the seat back and the position of the center of the eyes when the driver has adjusted the seat position, fastened the seat belt, and is looking straight ahead).

[0032] Steps 1 and 2: Based on SAE-J1517, SAE-J826, and SAE-J4002 standards, combined with the horizontal working space range proposed by Barnes and the 5th quantile of the static anthropometric dimensions of adult males in China published in GB / T 10000-2023, determine the three-dimensional coordinate distance (x1, y1, z1) between the driver's right shoulder point and the center point of the steering wheel in the three-dimensional coordinate system of the car cockpit space.

[0033] The three-dimensional coordinate distance (x2, y2, z2) between the center of the driver's eyes and the center of the steering wheel in the three-dimensional coordinate system of the car cockpit space is determined based on the 50th quantile of the static anthropometric dimensions of adult males in China.

[0034] Based on the accessibility and visibility principles of the display device, the three-dimensional coordinate distance (x3, y3, z3) between the center point of the central control screen and the center point of the steering wheel in the three-dimensional coordinate system of the car cockpit space is determined.

[0035] The interaction involves the driver clicking on designated evaluation application icons on the central control screen based on voice commands randomly played from external speakers. The main test interface layout includes... Figure 2 The main interface layout shown;

[0036] Step 13: Select N main interface layouts for the car's central control screen and collect driver hand performance indicators when performing touch tasks in different main interface layouts; at the same time, collect driver eye movement indicators.

[0037] Driver hand performance indicators include the time it takes for a driver to complete a hand interaction when touching the central control screen and the amount of finger movement.

[0038] Driver eye movement metrics include the time the driver spends scanning the central control screen during visual interaction.

[0039] The other steps and parameters are the same as in Specific Implementation Method 1.

[0040] Specific Implementation Method Three: This implementation method differs from Specific Implementation Method One or Two in that, in step two, a Fitts' Law quantification formula is fitted based on the driver's hand performance index, and a hand-accessibility score for the main interface layout of the car's central control screen is calculated; the specific process is as follows:

[0041] Based on the time taken by the driver to complete touchscreen interactions in different hand-accessible interaction areas, the amount of finger displacement, and the hotspot area of ​​application icons, steps two through five are performed:

[0042] Step Two: 1. Determine the comfort angle range for various parts of the driver's body; the specific process is as follows:

[0043] The comfort angle range of the driver's shoulder relative to the plumb line, α1, is 20°≤α1≤30°.

[0044] The comfortable angle range of the driver's upper arm relative to the plumb line α2 is 10°≤α2≤45°;

[0045] The comfortable angle range of the driver's forearm relative to the upper arm α3 is 80°≤α3≤120°;

[0046] The comfortable angle range of the driver's hand relative to the forearm α4 is 170°≤α4≤190°;

[0047] Step 22: Based on the comfort angle range of various parts of the driver, obtain the minimum value R1 of the arm comfort range of motion, the maximum value R2 of the arm comfort range of motion, and the touchable range of motion of the arm R3.

[0048] Based on the minimum value R1 of the arm's comfortable range of motion, the maximum value R2 of the arm's comfortable range of motion, and the touchable range of motion R3 of the arm, the optimal interaction area, the touchable area, and the worst interaction area of ​​hand accessibility are obtained.

[0049] The specific process is as follows:

[0050] Step 221: First, select the 5th quantile of the static anthropometric dimensions of Chinese adult males as a reference. When the driver maintains the driving posture, take the minimum and maximum values ​​of the horizontal length projection values ​​of each part of the driver under their respective comfort angle range as the minimum and maximum values ​​of the arm comfort range of motion; take the length of the driver's arm when it is fully extended as the arm touchable range of motion.

[0051]

[0052] In the formula, R1 is the minimum comfortable range of motion of the arm, R2 is the maximum comfortable range of motion of the arm, and R3 is the touchable range of motion of the arm.

[0053] l1 represents the length of the upper arm at the 5th quantile of static anthropometric dimensions for adult Chinese men.

[0054] l2 is the length of the forearm at the 5th quantile of static anthropometric dimensions for adult Chinese men.

[0055] l3 represents the 5th quantile of hand length in static anatomy dimensions for adult Chinese men.

[0056] In R1, 10° in l1×sin10° belongs to α2, 180° in (l2-l3×cos180°) belongs to α4, 80° in sin(80°-10°) belongs to α3, and 10° in sin(80°-10°) belongs to α2.

[0057] In R2, 45° in l1×sin45° belongs to α2, 170° in (l2-l3×cos170°) belongs to α4, 120° in sin(120°-45°) belongs to α3, and 45° in sin(120°-45°) belongs to α2.

[0058] Upper arm: The part from the shoulder to the elbow, mainly responsible for connecting the shoulder and forearm. Forearm: The part from the elbow to the wrist. Hand: The end of the forearm, including the palm and fingers. Simply put, the upper arm is the upper part of the arm, the forearm is the lower part, and the hand is the end of the forearm.

[0059] Step 2: Based on the minimum value R1 of the arm's comfortable range of motion, the maximum value R2 of the arm's comfortable range of motion, and the touchable range of motion R3 of the arm, obtain the optimal interaction area, the touchable area, and the worst interaction area for hand accessibility.

[0060] like Figure 3 The diagram shows three interaction areas from left to right: the optimal hand-accessible interaction area, the touchable area, and the worst interaction area; R3 > R2.

[0061] The specific process is as follows:

[0062] Optimal interaction area: With the position of the driver's right shoulder resting on the seat back as the center of the sphere, the spherical arcs of the minimum radius of arm comfort movement R1 and the spherical arcs of the arm comfort movement radius R2 on the central control screen are used as the left and right boundary lines respectively; the top and bottom of the central control screen are used as the upper and lower boundary lines; the middle area enclosed by the left and right boundary lines and the upper and lower boundary lines is the optimal interaction area;

[0063] Touchable area: With the driver's right shoulder resting on the seat back as the center, the spherical arc of the maximum comfortable radius of arm movement R2 on the central control screen and the spherical arc of the arm's touchable radius of movement R3 on the central control screen are respectively used as the left and right side boundary lines; the top and bottom of the central control screen are used as the upper and lower side boundary lines; the middle area enclosed by the left and right side boundary lines and the upper and lower side boundary lines is the touchable area;

[0064] Worst Interaction Zone: With the driver's right shoulder resting on the seat back as the center of the sphere, the spherical arc of the arm's touchable radius R3 on the central control screen is the left boundary line, and the right frame of the central control screen is the right boundary line; the top and bottom of the central control screen are the upper and lower boundary lines; the middle area enclosed by the left and right boundary lines and the upper and lower boundary lines is the worst interaction zone.

[0065] Steps Two and Three: Select the number of application icons and their positions on the main interface of the central control screen for evaluation, taking into account both the frequency and importance of vehicle infotainment applications used during dynamic driving. The maximum number of vehicle infotainment applications that drivers interact with under normal driving conditions is set to n. max Therefore, the center point of the application icons on the main interface of the central control screen is selected to be the nth closest to the driver's right shoulder point. max The evaluation will be conducted at one location (which must be located within the optimal interaction area and touchable area);

[0066] The center point of the application icon layout on the main interface of the central control screen is closest to the driver's right shoulder point (n). max Each location is situated within the optimal interaction and touch-sensitive areas;

[0067] Step 24: Using the Fitts' Law quantification formula, linearly fit the finger displacement, the time it takes for the hand to reach the designated layout of the application icon on the central control screen, and the area of ​​the application icon when the driver performs interaction in the optimal interaction area and the touchable area, to obtain the linear fitting results of the Fitts' Law quantification formula for the optimal interaction area and the touchable area.

[0068] Step 25: Verify and analyze the linear fitting results of the Fitts' Law quantization formula for the optimal interactive area and touchable area obtained in Step 24;

[0069] Step 26: Calculate the Sco score (SCO) for individual layout evaluation application icons located in the optimal interaction area and touchable area. α sco β ;

[0070] Step 27: Evaluate the application icon score (SCO) based on a single layout. α sco β Calculate the total score (sco) for hand gesture evaluation of the main interface layout of the car's central control screen. toth-1 .

[0071] Other steps and parameters are the same as in specific implementation method one or two.

[0072] Specific Implementation Method Four: This implementation method differs from Specific Implementation Methods One to Three in that, in steps two and four, the Fitts' Law quantification formula is used to linearly fit the finger displacement, the time it takes for the hand to reach the designated layout evaluation application icon position on the central control screen, and the application icon area when the driver interacts with the optimal interaction area and the touchable area. This yields the linear fitting results of the Fitts' Law quantification formula for the optimal interaction area and the touchable area. The specific process is as follows:

[0073] Considering that the worst interaction area of ​​the central control screen is located in an area that the driver cannot reach even when their arm is fully extended while maintaining a driving posture, the driver's touch interaction with the application icons in the worst interaction area under dynamic driving conditions will greatly affect driving safety. Therefore, the application icons located in the worst interaction area are not included in the hand accessibility evaluation score, and the linear fitting of the Fitts' law quantification formula for the worst interaction area is also not considered.

[0074] Step 241: Based on the finger displacement, the time it takes for the hand to reach the designated layout of the evaluation application icon on the central control screen when the driver performs an interaction in the optimal interaction area, and the area of ​​the application icon, perform linear fitting according to the Fitts's Law quantization formula to obtain the time T when the driver's finger moves from the steering wheel grip to the designated layout of the evaluation application icon on the car's central control screen when performing an interaction in the optimal interaction area. h1 ;

[0075] The quantitative formula for Fitz's Law is:

[0076]

[0077] In the formula, D1 is the displacement of the driver's finger from the steering wheel grip to the designated layout evaluation application icon on the car's central control screen when the driver performs an interaction in the optimal interaction area.

[0078] S1 is the area of ​​the hot zone for application icons on the car's central control display, which is the optimal interactive area for the driver to touch the screen.

[0079] a1 is the preparation time for the driver to interact with the touchscreen in the optimal interaction zone;

[0080] b1 represents the optimal interaction zone, and the impact of the distance the finger moves and the area of ​​the hot zone of the application icon on the hand interaction time when the driver performs the interaction.

[0081] The linear fitting results of the quantization formula for the optimal interaction region Fitz's law are as follows:

[0082]

[0083] Step 242: Based on the finger displacement, the time it takes for the hand to reach the designated layout of the evaluation application icon on the central control screen when the driver interacts in the touchable area, and the area of ​​the application icon, perform linear fitting according to the Fitts's Law quantization formula to obtain the time T when the driver's finger moves from the steering wheel grip to the designated layout of the evaluation application icon on the car's central control screen when interacting in the touchable area. h2 ;

[0084] The quantitative formula for Fitz's Law is:

[0085]

[0086] In the formula,

[0087] D2 is the displacement of the driver's finger from the steering wheel grip to the designated layout evaluation application icon on the car's central control screen when the driver performs an interaction in the touchable area.

[0088] S2 is the area of ​​the hot zone of application icons in the touch-sensitive area of ​​the car's central control display, which is evaluated by the driver.

[0089] a2 is the preparation time before the driver can interact with the touchscreen in the touchable area;

[0090] b2 represents the impact of the distance the finger moves and the area of ​​the hot zone of the application icon on the hand interaction time when the driver performs an interaction in the touchable area.

[0091] The linear fitting results of the Fitts' Law quantization formula for the touchable area are as follows:

[0092]

[0093] The other steps and parameters are the same as those in one of the specific implementation methods one to three.

[0094] Specific Implementation Method Five: This implementation method differs from Specific Implementation Methods One to Four in that, in step Two-Five, the linear fitting results of the Fitts' Law quantization formula for the optimal interactive area and touchable area obtained in step Two-Four are verified and analyzed; the specific process is as follows:

[0095] 1) Perform R-squared on the linear fitting results of the Fitts' law quantization formula for the optimal interaction region obtained in steps two and three. 2 test;

[0096] Set the threshold to 0.8, when R 2 A value greater than 0.8 indicates a high model fit, i.e., R0.8. 2 If the test passes, the fitted parameters a1 and b1 will be used directly as the final parameters.

[0097] When R 2 A value less than or equal to 0.8 indicates a relatively low model fit, i.e., R0.8. 2 The test failed, and a nonlinear transformation of the independent variable b1 is required until it passes R. 2 The corresponding transformed fitting parameters a1 and b1 are used as the final parameters after verification.

[0098] The nonlinear transformation is a logarithmic transformation, a square root transformation, or a reciprocal transformation, etc.

[0099] 2) Perform R-squared on the linear fitting results of the Fitts' Law quantization formula for the touchable area obtained in steps two and three. 2 test;

[0100] Set the threshold to 0.8, when R 2 A value greater than 0.8 indicates a high model fit, i.e., R0.8. 2 The test passed; when R 2 A value less than or equal to 0.8 indicates a relatively low model fit, i.e., R0.8. 2 The inspection failed.

[0101] If R 2If the test passes, the fitted parameters a2 and b2 will be used directly as the final parameters, and step two six will be executed.

[0102] If R 2 The test failed, and a nonlinear transformation of the independent variable b2 is required until it passes R. 2 The corresponding transformed fitting parameters a2 and b2 are used as the final parameters, and step two six is ​​executed.

[0103] The nonlinear transformations include logarithmic transformations, square root transformations, or reciprocal transformations, etc.

[0104] R 2 The specific process of the inspection is as follows:

[0105]

[0106] In the formula, SST is the total sum of squares of the observed data, which is the sum of squares of the differences between the observed values ​​(the hand interaction time used by drivers to perform touch interaction under dynamic driving conditions, obtained through experimental data collection) and the average of the observed values; SSR is the regression sum of squares of the fitted model, which is the sum of squares of the differences between the predicted values ​​(the hand interaction time calculated by substituting the position of the icon in the hand-accessible interaction area into the Fitts' Law quantization formula corresponding to the optimal interaction area or touchable area) and the average of the observed values; SSE is the residual sum of squares, which is the sum of squares of the differences between the observed values ​​and the model predicted values.

[0107] R 2 R is an indicator used to measure the degree to which a linear fitting model interprets observed data. 2 The value of is between 0 and 1. The closer it is to 1, the better the model interprets the data, that is, the better the fit.

[0108] The linear fitting verification results of the Fitts' Law quantification formula for the optimal hand interaction area and touchable area are shown in Table 1:

[0109] Table 1. Linear fitting verification results of the quantification formula of Fitts' Law for the optimal interaction and touchable areas of the hand.

[0110]

[0111] The other steps and parameters are the same as those in one of the specific implementation methods one to four.

[0112] Specific Implementation Method Six: This implementation method differs from Specific Implementation Methods One to Five in that, in step two and six, the evaluation score (sco) of a single layout evaluation application icon located in the optimal interaction area and the touchable area is calculated. α sco β The specific process is as follows:

[0113] Step 261: Divide the layout evaluation score of the car's central control screen into a range of 0-100. Based on the maximum number of application icons participating in the layout evaluation and the weight ratio of the hand-accessible interaction area evaluation score, obtain the hand-accessible evaluation score range for each individual layout application icon located in the optimal interaction area:

[0114]

[0115] The score range for the hand assessment of each individual layout application icon located in the touchable area:

[0116]

[0117] In the formula, sco α sco β The scores for hand gesture evaluation of individual layouts of application icons located in the optimal interaction area and the touchable area are respectively.

[0118] w1 and w2 are the weights of the optimal interactive area and the touchable area, respectively;

[0119] n max The maximum number of application icons to participate in the layout evaluation;

[0120] Step 262: The weight values ​​for the optimal interactive area and touchable area for hand accessibility are as follows:

[0121]

[0122] have to

[0123]

[0124] For hand assessment, the quantitative score of hand assessment for the same application icon located in any position of the optimal interaction area will always be higher than that of any position in the touchable area. For example, the hand assessment score range of the optimal interaction area is [60, 100], and the hand assessment score range of the touchable area is [0, 60]. So how do we determine the score threshold of the two interaction areas (60 points in the above text)? Here, we propose a method to determine the score based on the b value of the linear fit between the two areas, that is, the degree of influence on hand interaction time.

[0125] Based on the Fitts Law linear quantization formula, the hot zone area of ​​the layout evaluation application icon and the finger displacement of the driver to complete the touch screen interaction are normalized and mapped to the layout evaluation application icon evaluation score range in a single interaction area.

[0126] Step 263: Based on the hand measurement score range of the single layout evaluation application icon in the optimal interaction area, the hand measurement score range of the single layout evaluation application icon in the touchable area, the weight w1 of the optimal interaction area for hand accessibility, and the weight w2 of the touchable area, calculate the evaluation score sco of the single layout evaluation application icon located in the optimal interaction area and the touchable area. α sco β The expression is:

[0127]

[0128] In the formula, S min The smallest touch hotspot area for Baidu's connected vehicle system (12mm×12mm);

[0129] S max The area threshold (700mm²) mentioned in the "Evaluation Method for Automotive Human-Machine Interaction" that significantly reduces the time required for a driver to complete a touch operation as the area of ​​the hot zone of the application icon in the layout evaluation increases. 2 );

[0130] S represents the area of ​​the hot zone on the central control screen where evaluation application icons are laid out.

[0131] D represents the displacement of the driver's finger from the steering wheel grip to the center point of the specified layout evaluation element on the car's central control screen when the driver performs the interaction.

[0132] D0 is the displacement of the point on the intersection of the sphere with the minimum spherical radius R1 corresponding to the comfortable movement arc of the driver's arm and the center screen, and the point at the same horizontal position as the center point of the layout evaluation element.

[0133] D1 is the displacement of the finger from the steering wheel grip to the intersection of the sphere with the maximum spherical radius R2 corresponding to the comfortable movement arc of the driver's arm and the center control screen, and the intersection point at the same horizontal position as the center point of the layout evaluation element.

[0134] D2 is the displacement of the finger from the steering wheel grip to the intersection of the sphere corresponding to the driver's arm's touchable radius R3 and the center screen, and the intersection point at the same horizontal position as the center point of the layout evaluation element.

[0135] For example, if the icons on the main interface of the central control screen are arranged in 2 rows and 4 columns, then for the icons in the first row, the intersection point of the horizontal line where their center point is located with the line of intersection of the sphere with radius R1 on the central control screen is D0; the intersection point with the line of intersection of the sphere with radius R2 on the central control screen is D1; ​​and the intersection point with the line of intersection of the sphere with radius R3 on the central control screen is D2.

[0136] The other steps and parameters are the same as those in one of the specific implementation methods one to five.

[0137] Specific Implementation Method Seven: This implementation method differs from Specific Implementation Methods One through Six in that step two seven, evaluating the application icon score based on a single layout, is... α sco β Calculate the total score (sco) for hand gesture evaluation of the main interface layout of the car's central control screen. toth-1 The specific process is as follows:

[0138]

[0139] In the formula, sco toth-1 The total score for the hand gesture evaluation of the main interface layout of the car's central control screen is given, where n1 is the number of layout evaluation elements on the central control screen interface located in the optimal interaction area, and n2 is the number of layout evaluation elements on the central control screen interface located in the touchable area.

[0140] sco α Sco is the hand measurement score for the α-th layout evaluation element of the central control screen interface, located in the optimal interaction area. β The hand measurement score is given to the βth layout evaluation element located in the touchable area of ​​the central control screen interface.

[0141] The other steps and parameters are the same as those in one of the specific implementation methods one to six.

[0142] Specific Implementation Method Eight: This implementation method differs from Specific Implementation Methods One through Seven in that, in step three, the Hick's Law quantification formula is fitted based on the driver's eye-tracking index, and a visual interaction score for the main interface layout of the car's central control screen is calculated; the specific process is as follows:

[0143] Based on the scan time, gaze time, and scan angle of the application icon relative to the center of the driver's eyes when performing visual interactions on the car's central control screen, steps three-one to three-four are performed:

[0144] Step 3.1: Derive the scanning angle of the layout evaluation application icon position relative to the center of the driver's eyes; the specific process is as follows:

[0145] Using the 50th percentile anthropometric dimensions of adult Chinese men as a reference, let the three-dimensional coordinate distance from the center of the driver's eyes (V) to the center of the steering wheel in the three-dimensional coordinate system of the car cockpit be (x2, y2, z2). Let the coordinates of the center point K of a certain layout evaluation application icon on the car's central control screen in the three-dimensional coordinate system of the cockpit be (x2+x0, y2+y0, z2+z0). The vertical scanning angle θ of the center point K of the certain layout evaluation application icon on the car's central control screen relative to point V is then obtained. h and horizontal scanning angle θ v :

[0146]

[0147] Where x0, y0, and z0 represent the three-dimensional coordinate distances of the center point K of a specified layout evaluation application icon on the car's central control screen relative to the driver's eye center point V(x2, y2, z2).

[0148] Because the previous steps one and two have already set the three-dimensional coordinate distance (x2, y2, z2) between the center of the driver's eyes and the center of the steering wheel in the three-dimensional coordinate system of the car cockpit space;

[0149] In the three-dimensional coordinate system of the cockpit, x0, y0, and z0 represent the three-dimensional coordinate distances of point K (the center point of a specified layout evaluation application icon on the car's central control screen) relative to point V(x2, y2, z2) at the center of the driver's eyes. In other words, the coordinates of point K in the three-dimensional coordinate system of the cockpit are K(x2+x0, y2+y0, z2+z0). This is because the vertical scanning angle θ between point K and point V will be calculated later. h and horizontal scanning angle θ v The main consideration is the coordinate relationship between point K and point V, which is independent of the coordinate system in which they are located (e.g., the vertical scanning angle θ of point K relative to point V). h =30°, then in any three-dimensional coordinate system, the vertical scanning angle θ of point K relative to point V is... h (All are 30°).

[0150] Therefore, instead of directly setting the coordinates of point K in the cockpit's three-dimensional coordinate system, the coordinates of point V in the cockpit's three-dimensional coordinate system are used as an intermediate value. Then, by setting the coordinates of point K relative to point V, the coordinates of point K in the cockpit's three-dimensional coordinate system are set.

[0151] This leads to the total scanning angle θ:

[0152]

[0153] Step 3.2: Based on the driver's scanning time, fixation time, and scanning angle of the icon position relative to the center of the driver's eyes when searching for application icons in different positions on the central control screen, linear fitting is performed according to the Hick's Law quantification formula to obtain the visual search time.

[0154] The quantitative formula for Hick's law is:

[0155]

[0156] In the formula, T e For visual search time;

[0157] a * This represents the average human visual reaction time (0.273s).

[0158] θ is the scanning angle;

[0159] k is a linear influence factor of the scanning angle on the visual search time;

[0160] c represents the processing time for understanding the options (a constant derived from empirical evidence, which is 0.155s for humans);

[0161] n is the number of application icons on the interface;

[0162] The linear fitting results of the Hick's law quantization formula are as follows:

[0163]

[0164] Step 33: Verify and analyze the linear fitting results obtained in Step 32; the specific process is as follows:

[0165] The linear fitting results obtained in step 3.2 are subjected to R-squared. 2 test;

[0166] Set the threshold to 0.8, when R 2 A value greater than 0.8 indicates a high model fit, i.e., R0.8. 2 The test passed; when R 2 A value less than or equal to 0.8 indicates a relatively low model fit, i.e., R0.8. 2 The inspection failed.

[0167] If R 2 If the test passes, the linear influence factor k of the scanning angle on the visual search time will be used as the final parameter, and steps three and four will be executed.

[0168] If R 2 The test failed. A non-linear transformation of the linear influence factor k of the saccade angle on visual search time is needed until R passes. 2 The linear influence factor k of the transformed scanning angle on the visual search time is used as the final parameter for the test, and steps three and four are then executed.

[0169] The nonlinear transformation is a logarithmic transformation, a square root transformation, or a reciprocal transformation, etc.

[0170] R 2 The specific process of the inspection is as follows:

[0171]

[0172] In the formula, SST is the total sum of squares of the observed data, which is the sum of squares of the differences between the observed values ​​(the visual search time used by the driver to perform touch interaction under dynamic driving conditions, obtained through experimental data collection) and the average of the observed values; SSR is the regression sum of squares of the fitted model, which is the sum of squares of the differences between the predicted values ​​(the visual search time calculated by substituting into the Hick's law quantification formula) and the average of the observed values; SSE is the residual sum of squares, which is the sum of squares of the differences between the observed values ​​and the model's predicted values.

[0173] R 2 R is an indicator used to measure the degree to which a linear fitting model interprets observed data. 2 The value of is between 0 and 1. The closer it is to 1, the better the model interprets the data, that is, the better the fit.

[0174] The linear fitting verification results of the Hick's law quantization formula are shown in Table 2:

[0175] Table 2. Validation results of linear fitting of Hick's law quantification formula.

[0176]

[0177] Steps three and four: Calculate the visual evaluation score (scoδ) for a single layout evaluation icon (1 icon) on the main interface of the car's central control screen; the specific process is as follows:

[0178] Combined with visual search time T e By considering the extreme values ​​of the two influencing factors in the expression—the saccade angle and the number of application icons on the interface—we can obtain the maximum and minimum values ​​of the gaze search time T in the visual evaluation expression. emin T emax :

[0179]

[0180] In the formula, a * This represents the average human visual reaction time (0.273s).

[0181] θ max θ min These represent the maximum and minimum scanning angles of the center point of the application icon in the layout evaluation relative to the center of the eyes, num max ,num min These represent the maximum and minimum number of application icons on the interface, respectively, and c is the processing time for recognizing the option (a constant derived from empirical evidence, which is 0.155s for humans).

[0182] num max ,num minThese represent the maximum and minimum number of application icons on the main interface of the central control screen in mainstream car models, based on market research. For example, among mainstream models, Li Auto has the most application icons on its central control screen, with 20, while Audi has the fewest, with only 4. So, num... max =20, num min =4;

[0183] Based on the maximum and minimum search times T emin T emax Eye search time T e After normalization, the quantitative formula for visual interaction evaluation is obtained as follows:

[0184]

[0185] In the formula, sco δ n represents the visual evaluation score for a single layout evaluation icon. max The maximum number of application icons (n) for participating in the layout evaluation. max This refers to the number of applications that drivers frequently use under dynamic driving conditions, based on market research. For example, if a driver frequently uses five applications under dynamic driving conditions, these are navigation, music, radio, telephone, and weather.

[0186] Step 3.5: Obtain the total visual interaction evaluation score (sco) of the main interface layout of the car's central control screen by summing the visual evaluation scores (scoδ) corresponding to individual layout evaluation icons. tot-2 :

[0187]

[0188] In the formula, n3 represents the number of layouts of the main interface of the car's central control screen in the visual interaction test.

[0189] The other steps and parameters are the same as those in any of the specific implementation methods one to seven.

[0190] Specific Implementation Method Nine: This implementation method differs from Specific Implementation Methods One through Eight in that step four involves calculating the comprehensive evaluation score for the main interface layout of each car's central control screen; the specific process is as follows:

[0191] The comprehensive evaluation score (eva) for each car's central control screen main interface is obtained:

[0192] eva = sco toth-1 ×w h +sco toth-2 ×w e

[0193] In the formula, eva and sco toth-1 scototh-2 These are the total evaluation score, hand evaluation score, and visual evaluation score for the main interface of the car's central control screen, respectively.

[0194] w h With w e The weights of the hand assessment score and the visual assessment score in the total assessment score are respectively.

[0195] The other steps and parameters are the same as those in one of the specific implementation methods one to eight.

[0196] Specific Implementation Method Ten: This implementation method differs from Specific Implementation Methods One to Nine in that the weight w is... h With w e The process of determining is as follows:

[0197] 1) Based on the number of times n4 different drivers perform different touch sub-tasks on different car central control screen interfaces, obtain driver hand performance index dataset X1;

[0198] Based on the number of times n4 different drivers perform different touch sub-tasks on different car central control screen interfaces, driver eye movement index dataset X2 is obtained.

[0199]

[0200] In the formula, x 11 x is the numerical value of a driver's hand performance indicator when performing the first touch task on a central control screen interface. 21 This refers to the hand performance indicator for a driver performing a second touch task on a central control screen interface. The numerical value of the hand performance index for a driver performing the n4th touch task on a central control screen interface;

[0201] x 12 x is the eye-tracking index value of a driver performing the first touch task on a central control screen interface. 22 This refers to the eye-tracking metrics of a driver performing a second touch task on a central control screen interface. The value of the eye movement index for a driver performing the n4th touch task on a central control screen interface;

[0202] 2) To Normalization is performed to obtain the normalized dataset.

[0203] right Normalization is performed to obtain the normalized dataset.

[0204] in

[0205]

[0206] In the formula, x i1 x is the value of the hand performance indicator for a driver performing the i-th touch task on a central control screen interface. i2 The value of the eye movement index for a driver performing the i-th touch task on a central control screen interface;

[0207] y i1 Let y be the normalized value of a driver's hand performance indicator when performing the i-th touch task on a central control screen interface. i2 The normalized value of the eye movement index for a driver performing the i-th touch task on a central control screen interface;

[0208] 3) Based on the normalized dataset and Calculate the information entropy E1 of the hand performance index and the information entropy E2 of the eye movement index:

[0209]

[0210] in

[0211]

[0212] In the formula, p i1 Let p represent the proportion of the hand performance index for the i-th touch task to the total hand performance index. i2 The weight of the eye movement index value for the i-th touch task out of the total eye movement index;

[0213] 4) Based on the information entropy E1 of the hand performance indicator and the information entropy E2 of the eye movement indicator, calculate the weight w of the hand assessment score in the total assessment score. h The weight of visual assessment scores in the total assessment score (w) e :

[0214]

[0215] The other steps and parameters are the same as those in any of the specific implementation methods one to nine.

[0216] This invention may have other embodiments. Without departing from the spirit and essence of this invention, those skilled in the art can make various corresponding changes and modifications according to this invention, but these corresponding changes and modifications should all fall within the protection scope of the appended claims.

Claims

1. A method for optimizing the layout of the main interface of a car's central control screen based on driver hand accessibility and visual interaction, characterized in that: The specific process of the method is as follows: Step 1: Establish a three-dimensional coordinate system for the car cockpit space; Collect driver hand performance indicators when performing touch tasks on different central control screen main interface layouts; simultaneously collect driver eye movement indicators; Step 2: Fit the Fitts' Law quantification formula based on the driver's hand performance index, and calculate the hand accessibility score of the main interface layout of the car's central control screen; the specific process is as follows: Step Two:

1. Determine the comfort angle range for various parts of the driver's body; the specific process is as follows: The comfort angle range of the driver's shoulder relative to the plumb line α1 is 20°≤α1≤30°. The comfortable angle range of the driver's upper arm relative to the plumb line α2 is 10°≤α2≤45°; The comfortable angle range of the driver's forearm relative to the upper arm α3 is 80°≤α3≤120°; The comfortable angle range of the driver's hand relative to the forearm α4 is 170°≤α4≤190°; Step 22: Based on the comfort angle range of various parts of the driver, obtain the minimum value R1 of the arm comfort range of motion, the maximum value R2 of the arm comfort range of motion, and the touchable range of motion of the arm R3. Based on the minimum value R1 of the arm's comfortable range of motion, the maximum value R2 of the arm's comfortable range of motion, and the touchable range of motion R3 of the arm, the optimal interaction area, the touchable area, and the worst interaction area of ​​hand accessibility are obtained. The specific process is as follows: Step 221: First, select the 5th quantile of the static anthropometric dimensions of Chinese adult males as a reference. When the driver maintains the driving posture, take the minimum and maximum values ​​of the horizontal length projection values ​​of each part of the driver under their respective comfort angle range as the minimum and maximum values ​​of the arm comfort range of motion; take the length of the driver's arm when it is fully extended as the arm touchable range of motion. In the formula, R1 is the minimum comfortable range of motion of the arm, R2 is the maximum comfortable range of motion of the arm, and R3 is the touchable range of motion of the arm. l1 represents the length of the upper arm at the 5th quantile of static anthropometric dimensions for adult Chinese men. l2 is the length of the forearm at the 5th quantile of static anthropometric dimensions for adult Chinese men. l3 represents the 5th quantile of hand length in static anatomy dimensions for adult Chinese men. Step 2: Based on the minimum value R1 of the arm's comfortable range of motion, the maximum value R2 of the arm's comfortable range of motion, and the touchable range of motion R3 of the arm, obtain the optimal interaction area, the touchable area, and the worst interaction area for hand accessibility. The specific process is as follows: Optimal interaction area: With the position of the driver's right shoulder resting on the seat back as the center of the sphere, the spherical arcs of the minimum radius of arm comfort movement R1 and the spherical arcs of the arm comfort movement radius R2 on the central control screen are used as the left and right boundary lines respectively; the top and bottom of the central control screen are used as the upper and lower boundary lines; the middle area enclosed by the left and right boundary lines and the upper and lower boundary lines is the optimal interaction area; Touchable area: With the driver's right shoulder resting on the seat back as the center, the spherical arc of the maximum comfortable radius of arm movement R2 on the central control screen and the spherical arc of the arm's touchable radius of movement R3 on the central control screen are respectively used as the left and right side boundary lines; the top and bottom of the central control screen are used as the upper and lower side boundary lines; the middle area enclosed by the left and right side boundary lines and the upper and lower side boundary lines is the touchable area; Worst Interaction Zone: With the driver's right shoulder resting on the seat back as the center of the sphere, the spherical arc of the arm's touch radius R3 on the central control screen is the left boundary line, and the right frame of the central control screen is the right boundary line; the top and bottom of the central control screen are the upper and lower boundary lines; the middle area enclosed by the left and right boundary lines and the upper and lower boundary lines is the worst interaction zone. Steps 2 and 3: Select the n closest n points from the center of the application icon on the main interface layout of the central control screen to the driver's right shoulder point. max Each location was evaluated; The center point of the application icon layout on the main interface of the central control screen is closest to the driver's right shoulder point (n). max Each location is situated within the optimal interaction and touch-sensitive areas; Step 24: Using the Fitts' Law quantification formula, linearly fit the finger displacement, the time it takes for the hand to reach the designated layout of the application icon on the central control screen, and the area of ​​the application icon when the driver performs interaction in the optimal interaction area and the touchable area, to obtain the linear fitting results of the Fitts' Law quantification formula for the optimal interaction area and the touchable area. Step 25: Verify and analyze the linear fitting results of the Fitts' Law quantization formula for the optimal interactive area and touchable area obtained in Step 24; Step 26: Calculate the Sco score (SCO) for individual layout evaluation application icons located in the optimal interaction area and touchable area. α sco β ; Step 27: Evaluate the application icon score (SCO) based on a single layout. α sco β Calculate the total score (sco) for hand gesture evaluation of the main interface layout of the car's central control screen. toth-1 ; In step two and four, the Fitts' Law quantification formula is used to linearly fit the finger displacement, the time it takes for the hand to reach the designated layout of the application icon on the central control screen, and the area of ​​the application icon when the driver interacts with the optimal interaction area and the touchable area. This yields the linear fitting results of the Fitts' Law quantification formula for the optimal interaction area and the touchable area. The specific process is as follows: Step 241: Based on the finger displacement, the time it takes for the hand to reach the designated layout of the evaluation application icon on the central control screen when the driver performs an interaction in the optimal interaction area, and the area of ​​the application icon, perform linear fitting according to the Fitts's Law quantization formula to obtain the time T when the driver's finger moves from the steering wheel grip to the designated layout of the evaluation application icon on the car's central control screen when performing an interaction in the optimal interaction area. h1 ; The quantitative formula for Fitz's Law is: In the formula, D1 is the displacement of the driver's finger from the steering wheel grip to the designated layout evaluation application icon on the car's central control screen when the driver performs an interaction in the optimal interaction area. S1 is the area of ​​the hot zone for application icons on the car's central control display, which is the optimal interactive area for the driver to touch the screen. a1 is the preparation time for the driver to interact with the touchscreen in the optimal interaction zone; b1 represents the optimal interaction zone, and the impact of the distance the finger moves and the area of ​​the hot zone of the application icon on the hand interaction time when the driver performs the interaction. The linear fitting results of the quantization formula for the optimal interaction region Fitz's law are as follows: Step 242: Based on the finger displacement, the time it takes for the hand to reach the designated layout of the evaluation application icon on the central control screen when the driver interacts in the touchable area, and the area of ​​the application icon, perform linear fitting according to the Fitts's Law quantization formula to obtain the time T when the driver's finger moves from the steering wheel grip to the designated layout of the evaluation application icon on the car's central control screen when interacting in the touchable area. h2 ; The quantitative formula for Fitz's Law is: In the formula, D2 is the displacement of the driver's finger from the steering wheel grip to the designated layout evaluation application icon on the car's central control screen when the driver performs an interaction in the touchable area. S2 is the area of ​​the hot zone of application icons in the touch-sensitive area of ​​the car's central control display, which is evaluated by the driver. a2 is the preparation time before the driver can interact with the touchscreen in the touchable area; b2 represents the impact of the distance the finger moves and the area of ​​the hot zone of the application icon on the hand interaction time when the driver performs an interaction in the touchable area. The linear fitting results of the Fitts' Law quantization formula for the touchable area are as follows: Step 3: Fit Hick's Law quantification formula based on the driver's eye movement index, and calculate the visual interaction score of the main interface layout of the car's central control screen; the specific process is as follows: Step 3.1: Derive the scanning angle of the layout evaluation application icon position relative to the center of the driver's eyes; the specific process is as follows: Let the three-dimensional coordinate distance from the center of the driver's eyes (V) to the center of the steering wheel in the three-dimensional coordinate system of the car cockpit be (x2, y2, z2). Let the coordinates of the center point K of a certain layout evaluation application icon on the car's central control screen in the three-dimensional coordinate system of the cockpit be (x2+x0, y2+y0, z2+z0). Then, obtain the vertical scanning angle θ of the center point K of the certain layout evaluation application icon on the car's central control screen relative to point V. h and horizontal scanning angle θ v : Where x0, y0, and z0 represent the three-dimensional coordinate distances of the center point K of a specified layout evaluation application icon on the car's central control screen relative to the driver's eye center point V(x2, y2, z2). This leads to the total scanning angle θ: Step 3.2: Based on the driver's scanning time, fixation time, and scanning angle of the icon position relative to the center of the driver's eyes when searching for application icons in different positions on the central control screen, linear fitting is performed according to the Hick's Law quantification formula to obtain the visual search time. The quantitative formula for Hick's law is: In the formula, T e For visual search time, a * θ is the mean of human visual reaction time, k is the saccade angle, c is the linear influence factor of saccade angle on visual search time, n is the processing time for recognizing options, and n is the number of application icons on the interface. The linear fitting results of the Hick's law quantization formula are as follows: Step 33: Verify and analyze the linear fitting results obtained in Step 32; the specific process is as follows: The linear fitting results obtained in step 3.2 are subjected to R-squared. 2 test; Set the threshold to 0.8, when R 2 When R is greater than 0.8, 2 The test passed; when R 2 When R is less than or equal to 0.8, 2 The inspection failed. If R 2 If the test passes, the linear influence factor k of the scanning angle on the visual search time will be used as the final parameter, and steps three and four will be executed. If R 2 The test failed. A non-linear transformation of the linear influence factor k of the saccade angle on visual search time is needed until R passes. 2 The linear influence factor k of the transformed scanning angle on the visual search time is used as the final parameter for the test, and steps three and four are then executed. The nonlinear transformation is a logarithmic transformation, a square root transformation, or a reciprocal transformation; Steps 3 and 4: Calculate the visual evaluation score (sco) for each layout evaluation icon on the main interface of the car's central control screen. δ The specific process is as follows: The maximum and minimum values ​​of the gaze search time T in the visual evaluation expression are obtained. emin T emax : In the formula, a * Let θ be the mean of human visual reaction time. max θ min These represent the maximum and minimum scanning angles of the center point of the application icon in the layout evaluation relative to the center of the eyes, num max ,num min These represent the maximum and minimum number of application icons in the interface, respectively, and c is the processing time for recognizing the options; Based on the maximum and minimum search times T emin T emax Eye search time T e After normalization, the quantitative formula for visual interaction evaluation is obtained as follows: In the formula, sco δ n represents the visual evaluation score for a single layout evaluation icon. max The maximum number of application icons to participate in the layout evaluation; Step 3.5: Obtain the total visual interaction evaluation score sco for the main interface layout of the car's central control screen by summing the visual evaluation scores scoδ corresponding to the individual layout evaluation icons. tot-2 : In the formula, n3 represents the number of main interface layouts of the car's central control screen in the visual interaction test. Step 4: Calculate the overall score for the layout of the main interface of each car's central control screen; The layout with the highest overall score among all car infotainment screen layouts is selected as the optimal layout.

2. The method for optimizing the layout of the main interface of a car central control screen based on driver hand accessibility and visual interaction as described in claim 1, characterized in that: In step one, a three-dimensional coordinate system for the vehicle's cockpit space is established. Collect driver hand performance indicators when performing touch tasks on different central control screen main interface layouts; simultaneously collect driver eye movement indicators; The specific process is as follows: Step 11: Establish a three-dimensional coordinate system for the car cockpit; the specific process is as follows: The cockpit space coordinate system is established with the center point of the steering wheel as the origin of the three-dimensional coordinate system, the front and rear horizontal plane from the front to the rear of the vehicle as the x-axis, the left and right horizontal planes as the y-axis, and the vertical xy plane as the z-axis. Step 1 and Step 2: Determine the three-dimensional coordinate distance (x1, y1, z1) between the driver's right shoulder point and the center point of the steering wheel in the three-dimensional coordinate system of the car cockpit space. Determine the three-dimensional coordinate distance (x2, y2, z2) between the center of the driver's eyes and the center of the steering wheel in the three-dimensional coordinate system of the car cockpit space; Determine the three-dimensional coordinate distance (x3, y3, z3) between the center point of the central control screen and the center point of the steering wheel in the three-dimensional coordinate system of the car cockpit space; Step 13: Select N main interface layouts for the car's central control screen and collect driver hand performance indicators when performing touch tasks in different main interface layouts; at the same time, collect driver eye movement indicators. Driver hand performance indicators include the time it takes for a driver to complete a hand interaction when touching the central control screen and the amount of finger movement. Driver eye movement metrics include the time the driver spends scanning the central control screen during visual interaction.

3. The method for optimizing the layout of the main interface of a car central control screen based on driver hand accessibility and visual interaction as described in claim 2, characterized in that: In step two-five, the linear fitting results of the Fitts' Law quantification formula for the optimal interactive area and touchable area obtained in step two-four are verified and analyzed; the specific process is as follows: 1) Perform R-squared on the linear fitting results of the Fitts' law quantization formula for the optimal interaction region obtained in steps two and three. 2 test; Set the threshold to 0.8, when R 2 When R is greater than 0.8, 2 If the test passes, the fitted parameters a1 and b1 will be used directly as the final parameters. When R 2 When R is less than or equal to 0.8, 2 The test failed, and a nonlinear transformation of the independent variable b1 is required until it passes R. 2 The corresponding transformed fitting parameters a1 and b1 are used as the final parameters after verification. The nonlinear transformation is a logarithmic transformation, a square root transformation, or a reciprocal transformation; 2) Perform R-squared on the linear fitting results of the Fitts' Law quantization formula for the touchable area obtained in steps two and three. 2 test; Set the threshold to 0.8, when R 2 When R is greater than 0.8, 2 The test passed; when R 2 When R is less than or equal to 0.8, 2 The inspection failed. If R 2 If the test passes, the fitted parameters a2 and b2 will be used directly as the final parameters, and step two six will be executed. If R 2 The test failed, and a nonlinear transformation of the independent variable b2 is required until it passes R. 2 The corresponding transformed fitting parameters a2 and b2 are used as the final parameters, and step two six is ​​executed. The nonlinear transformation includes logarithmic transformation, square root transformation, or reciprocal transformation.

4. The method for optimizing the layout of the main interface of a car central control screen based on driver hand accessibility and visual interaction as described in claim 3, characterized in that: In step two-six, the evaluation score (sco) of a single layout evaluation application icon located in the optimal interaction area and touchable area is calculated. α sco β The specific process is as follows: Step 261: For each individual layout evaluation application icon located in the optimal interaction area, the hand evaluation score range is as follows: The score range for the hand assessment of each individual layout application icon located in the touchable area: In the formula, sco α sco β The scores for hand gesture evaluation of individual layouts of application icons located in the optimal interaction area and the touchable area are respectively. w1 and w2 are the weights of the optimal interactive area and the touchable area, respectively; n max The maximum number of application icons to participate in the layout evaluation; Step 262: The weight values ​​for the optimal interactive area and touchable area for hand accessibility are as follows: have to Step 263: Based on the hand measurement score range of the single layout evaluation application icon in the optimal interaction area, the hand measurement score range of the single layout evaluation application icon in the touchable area, the weight w1 of the optimal interaction area for hand accessibility, and the weight w2 of the touchable area, calculate the evaluation score sco of the single layout evaluation application icon located in the optimal interaction area and the touchable area. α sco β The expression is: In the formula, S min This represents the minimum touch heat area for the finger; S max Area threshold; S represents the area of ​​the hot zone on the central control screen where evaluation application icons are laid out. D represents the displacement of the driver's finger from the steering wheel grip to the center point of the specified layout evaluation element on the car's central control screen when the driver performs the interaction. D0 is the displacement of the point on the intersection of the sphere with the minimum spherical radius R1 corresponding to the comfortable movement arc of the driver's arm and the center screen, and the point at the same horizontal position as the center point of the layout evaluation element. D1 is the displacement of the finger from the steering wheel grip to the intersection of the sphere with the maximum spherical radius R2 corresponding to the comfortable movement arc of the driver's arm and the center control screen, and the intersection point at the same horizontal position as the center point of the layout evaluation element. D2 is the displacement of the finger from the steering wheel grip to the intersection of the sphere corresponding to the driver's arm's touchable radius R3 and the center screen, and the intersection point at the same horizontal position as the center point of the layout evaluation element.

5. The method for optimizing the layout of the main interface of a car central control screen based on driver hand accessibility and visual interaction as described in claim 4, characterized in that: In step two-seven, the application icon evaluation score (sco) is based on a single layout evaluation. α sco β Calculate the total score (sco) for hand gesture evaluation of the main interface layout of the car's central control screen. toth-1 The specific process is as follows: In the formula, sco toth-1 The total score for the hand gesture evaluation of the main interface layout of the car's central control screen is given, where n1 is the number of layout evaluation elements on the central control screen interface located in the optimal interaction area, and n2 is the number of layout evaluation elements on the central control screen interface located in the touchable area. sco α Sco is the hand measurement score for the α-th layout evaluation element of the central control screen interface, located in the optimal interaction area. β The hand measurement score is given to the βth layout evaluation element located in the touchable area of ​​the central control screen interface.

6. The method for optimizing the layout of the main interface of a car central control screen based on driver hand accessibility and visual interaction as described in claim 5, characterized in that: Step four involves calculating the comprehensive evaluation score for the main interface layout of each car's central control screen; the specific process is as follows: The comprehensive evaluation score (eva) for each car's central control screen main interface is obtained: eva=sco toth-1 ×w h +sco toth-2 ×w e In the formula, eva and sco toth-1 sco toth-2 These are the total evaluation score, hand evaluation score, and visual evaluation score for the main interface of the car's central control screen, respectively. w h with w e The weights of the hand assessment score and the visual assessment score in the total assessment score are respectively.

7. The method for optimizing the layout of the main interface of a car central control screen based on driver hand accessibility and visual interaction as described in claim 6, characterized in that: The weight w h with w e The process of determining is as follows: 1) Based on the number of times n4 different drivers perform different touch sub-tasks on different car central control screen interfaces, obtain driver hand performance index dataset X1; Based on the number of times n4 different drivers perform different touch sub-tasks on different car central control screen interfaces, driver eye movement index dataset X2 is obtained. In the formula, x 11 x is the numerical value of a driver's hand performance indicator when performing the first touch task on a central control screen interface. 21 This refers to the hand performance indicator for a driver performing a second touch task on a central control screen interface. The numerical value of the hand performance index for a driver performing the n4th touch task on a central control screen interface; x 12 x is the eye-tracking index value of a driver performing the first touch task on a central control screen interface. 22 This refers to the eye-tracking metrics of a driver performing a second touch task on a central control screen interface. The value of the eye movement index for a driver performing the n4th touch task on a central control screen interface; 2) For Normalization is performed to obtain the normalized dataset. right Normalization is performed to obtain the normalized dataset. in In the formula, x i1 x is the value of the hand performance indicator for a driver performing the i-th touch task on a central control screen interface. i2 y represents the eye-tracking index value for a driver performing the i-th touch task on a central control screen interface; i1 Let y be the normalized value of a driver's hand performance indicator when performing the i-th touch task on a central control screen interface. i2 The normalized value of the eye movement index for a driver performing the i-th touch task on a central control screen interface; 3) Based on the normalized dataset and Calculate the information entropy E1 of the hand performance index and the information entropy E2 of the eye movement index: in In the formula, p i1 Let p represent the proportion of the hand performance index for the i-th touch task to the total hand performance index. i2 The weight of the eye movement index value for the i-th touch task out of the total eye movement index; 4) Based on the information entropy E1 of the hand performance indicator and the information entropy E2 of the eye movement indicator, calculate the weight w of the hand assessment score in the total assessment score. h The weight of visual assessment scores in the total assessment score (w) e :

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