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Non-contact map interaction configuration optimization
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AI
DOI：10.1080/15230406.2025.2472747.png)
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Abstract
En 中文
Current map interaction operations primarily rely on the use of a mouse, keyboard, or touchscreen, which are not convenient for special scenarios such as driving or cycling, or for specific populations such as individuals with hand disabilities or ALS patients. Therefore, this paper explores non-contact map interaction methods that do not require hand involvement. We conducted a comparative analysis of user preferences for several common non-contact methods (eye tracking control, voice control, head movement control, and facial expression control) in basic map operations such as zoom-in, zoom-out, panning, map toggle, location search, and route planning. Based on expert prior knowledge, we pre-evaluated various non-contact interaction methods and eliminated those with poor evaluations, retaining eye tracking and voice control methods that scored higher. Subsequently, we conducted user research through practical feedback and achieved the optimal configuration for non-contact map interaction based on questionnaire statistical analysis results. Finally, we evaluated the map visualization interaction system under the optimal configuration mode using SUS (System Usability Scale), and the results showed high usability and an excellent user interaction experience. This research has reference value for the development of non-contact map visualization systems.
Keywords:
Accessibility
human-computer interaction
eye tracking
voice recognition
map
Journal
IF:
2.4
Papers:
103
Citations:
1.5K
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