Physiological Response Monitoring for Product Identification
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Solution Overview
Problem
Current computing devices lack the capability to identify a consumer's interest in products in real-life settings through physiological responses, such as heart rate and eye tracking, which hinders the ability to assist in product purchases effectively.
Innovation Solution
A system and method that utilize a computing device to measure physiological responses, including heart rate and eye tracking, to identify when a consumer is interested in a product, allowing for the automatic identification and facilitation of product purchases by correlating physiological changes with displayed products and their display times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard computing devices are used to display products, then product information can be presented to consumers, but the devices cannot detect or measure consumer interest or physiological reactions
Solution Approach 1:
The patent combines a computing device with physiological measurement capabilities (heart rate monitoring, eye tracking, facial expression analysis) to create an integrated system that can both display products and detect consumer interest. This merging allows the system to overcome the limitation of standard computing devices by incorporating specialized sensors and analysis algorithms that work together with the existing display and processing functions.
Solution Approach 2:
The computing device is transformed into a multi-functional system that not only displays product information but also performs physiological measurements, analyzes consumer reactions, and provides real-time feedback. This universal approach allows a single device to handle multiple functions (display, sensing, analysis, and interaction enhancement) that were previously required from separate systems.
2Quantity of substance
If multiple products are displayed simultaneously to consumers, then product variety is increased, but consumer attention is diluted and interest detection becomes more difficult
Solution Approach 1:
The physiological measurement system acts as an intermediary that bridges the gap between multiple displayed products and consumer interest detection. By measuring heart rate, eye tracking, and facial expressions, the system can identify which specific product is attracting consumer attention even when multiple products are displayed simultaneously. The physiological data serves as a mediator that translates visual attention into quantifiable interest metrics.
Solution Approach 2:
The system analyzes changes in physiological indicators (analogous to color changes in visual detection) to identify consumer interest. Just as color changes can indicate different states or conditions, changes in heart rate, pupil dilation, and facial muscle tension provide real-time signals about which product is capturing consumer attention among multiple options.
3Reliability
If consumers must deliberately indicate interest in products, then purchase accuracy is improved, but purchase convenience and speed are reduced
Solution Approach 1:
The system enables self-service by automatically detecting consumer interest through physiological measurements without requiring explicit user input. The computing device monitors heart rate, eye movements, and facial expressions to identify when a consumer is interested in a product, then facilitates the purchase process automatically. This eliminates the need for consumers to deliberately indicate interest while maintaining accurate detection of their preferences.
Solution Approach 2:
The system implements continuous feedback loops where physiological measurements are constantly monitored and analyzed to detect interest in real-time. This feedback mechanism allows the system to respond dynamically to consumer reactions, adjusting product presentations or facilitating purchases based on detected interest levels, thereby maintaining both accuracy and convenience.
Data Source
AI summary
A method for product identification based on physiological response includes: displaying a plurality of display screens over a period of time, wherein at least one display screen includes one or more displayed products; storing a display time for each displayed product corresponding to a time of the period of time at which the displayed product and the respective display screen is displayed on the display device; receiving a plurality of physiological measurements over the period of time for a first physiological function of a user of the computing device; detecting a change in the first physiological function based on the plurality of physiological measurements and a change time for the detected change; identifying a specific displayed product based on a correspondence between the respective display time and the detected change time; and transmitting product data associated with the specific displayed product.