Context-Aware User Assistance via Multi-Interface Feedback
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Solution Overview
Problem
Users of electronic devices, especially pervasive computing devices, face difficulties in obtaining assistance due to complex user manuals and varying user interface protocols, leading to confusion and inability to find relevant information, especially when manuals are lost or unavailable.
Innovation Solution
The method involves receiving a query through a first user interface associated with an electronic device, sensing its context, and providing assistance through a second user interface, which can include visual, auditory, or tactile feedback, using a context sensor and assistance files to guide the user interactively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users rely on traditional user manuals for assistance, then comprehensive information is provided, but users experience confusion and difficulty finding relevant information
Solution Approach 1:
The patent segments the assistance system into multiple components: context sensing modules that detect device state and user situation, query processing modules that interpret user questions, and targeted response modules that deliver specific assistance. This segmentation allows comprehensive information to be organized and delivered in manageable, context-relevant portions rather than overwhelming users with complete manuals.
Solution Approach 2:
The patent introduces an intermediary assistance system that mediates between the user and the device information. This intermediary actively senses context, processes user queries, and retrieves relevant information from assistance files, acting as a smart intermediary that filters and delivers only the information the user needs at the right moment, rather than requiring users to search through complete manuals.
2Reliability
If electronic devices provide comprehensive user manuals, then all possible assistance information is available, but users cannot find relevant information when manuals are lost or unavailable
Solution Approach 1:
The patent implements feedback mechanisms where the assistance system continuously senses device context (state, mode, environment) and user queries, then uses this feedback to dynamically retrieve and present relevant assistance information. This feedback loop ensures assistance remains reliable and adaptable, adjusting to different user situations in real-time rather than providing static manual content.
Solution Approach 2:
The assistance system performs self-service by automatically sensing device context, interpreting user queries, and retrieving relevant information from embedded assistance files without requiring external manuals. The system serves itself by maintaining its own knowledge base and actively managing the assistance delivery process, ensuring reliability independent of external manual availability.
3Ease of operation
If interactive context-specific assistance is provided through multiple user interfaces, then user interaction is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing the assistance system to function across multiple user interfaces (visual display, auditory output, tactile feedback) through a single integrated architecture. The core assistance engine remains universal and unchanged, adapting its output to different interface types based on device capabilities and context, thereby improving user interaction without proportionally increasing overall system complexity.
Solution Approach 2:
The patent implements local quality by providing different types of assistance through different user interfaces based on specific context and device capabilities. Visual interfaces receive graphical assistance, auditory interfaces receive spoken guidance, and tactile interfaces receive haptic feedback. Each interface receives locally optimized assistance appropriate to its capabilities, improving overall interaction quality without requiring complete duplication of the assistance system across all interfaces.
Data Source
AI summary
In an approach, an exemplary method includes receiving a query related to an electronic device through a first user interface associated with the electronic device, sensing a context of the electronic device, and providing an assistance correlating to the query and the sensed context through a second user interface associated with the electronic device. In another approach, an exemplary system includes an electronic device having a context sensor, a first and a second user interface, and instructions. The instructions cause the electronic device to receive a query related to the electronic device through a first user interface associated with the electronic device, receive a context of the electronic device from the context sensor, and provide an assistance corresponding to the query and the context of the electronic device through a second user interface associated with the electronic device.