E-book Page Transition by Cluster Duration
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Solution Overview
Problem
Current e-book viewing systems on computing devices lack intuitive page transition methods that mimic the experience of reading physical books, limiting user interaction to single-page advancement and lacking the ability to transition by chapters or clusters.
Innovation Solution
Implementing a system where a computing device interprets user input actions to transition pages by clusters or chapters based on the duration of the input, allowing users to flip through content similarly to physical books, with features to return to the previous page state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If single-page advancement is used, then device complexity is reduced, but ease of operation deteriorates
Solution Approach 1:
The system dynamically adjusts page transition behavior based on input characteristics. Short taps trigger single-page advancement, while sustained presses trigger cluster or chapter transitions. This dynamic response resolves the contradiction by making the system adaptable to different user intentions without requiring complex separate controls for each transition type.
Solution Approach 2:
The system changes the transition parameter (number of pages advanced) based on the duration parameter of the input action. By monitoring how long the user presses the input mechanism, the system automatically adjusts whether to advance one page, a cluster of pages, or an entire chapter, thereby providing intuitive operation without adding device complexity.
2Productivity
If page transition by clusters or chapters is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system pre-defines cluster and chapter boundaries within the e-book structure before the user begins reading. When a sustained input is detected, the system simply jumps to the pre-calculated next cluster or chapter boundary, rather than calculating transitions in real-time. This approach improves productivity by enabling rapid chapter skipping while keeping the detection system relatively simple.
Solution Approach 2:
The system dynamically selects the transition granularity (single page, cluster, or chapter) based on input duration, allowing users to optimize reading speed by holding the input mechanism longer for larger jumps. This dynamic selection improves productivity without requiring multiple physical buttons or complex controls.
3Adaptability or versatility
If multiple input interpretations are supported, then adaptability is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system uses the duration parameter of the input action to differentiate between transition types. By establishing a threshold duration, the system cleanly separates single-page transitions (short presses) from cluster/chapter transitions (sustained presses). This parameter-based differentiation improves adaptability while keeping detection straightforward through simple timing measurement.
Solution Approach 2:
The system employs periodic sampling of the input state to detect both the presence and duration of user actions. By continuously monitoring the input mechanism state at regular intervals, the system accurately measures press duration to determine the appropriate transition type, making the detection process systematic and reliable without excessive complexity.
Data Source
AI summary
A given page of an e-book is displayed when an input is detected that is sustained for an amount of time that exceeds a threshold. After the amount of time exceeding the threshold, the pages of the e-book are transitioned by clusters or chapters. The transitioning by clusters or chapters can be sustained for some duration that is determined by, for example, the duration of time during which the input is sustained.