Designing a gaze gesture guiding system
Autor: | Teng Han, William Delamare, Pourang Irani |
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Přispěvatelé: | University of Manitoba [Winnipeg] |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Vocabulary
Design Computer science media_common.quotation_subject 02 engineering and technology Visual complexity Task (project management) Gesture Guide H.5.2. Information interfaces and presentation (e.g HCI): User Interfaces -Interaction styles (e.g commands menus 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Computer vision [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Gaze 050107 human factors media_common Visual search Modality (human–computer interaction) training business.industry 05 social sciences 020207 software engineering direct manipulation) Eye input Rapid serial visual presentation Guidance forms Artificial intelligence business RSVP help and documentation |
Zdroj: | MobileHCI '17: 19th International Conference on Human-Computer Interaction with Mobile Devices and Services MobileHCI '17: 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2017, Vienna, Austria. pp.1-13, ⟨10.1145/3098279.3098561⟩ MobileHCI |
DOI: | 10.1145/3098279.3098561⟩ |
Popis: | International audience; We propose the concept of a guiding system specifically designed for semaphoric gaze gestures, i.e. gestures defining a vocabulary to trigger commands via the gaze modality. Our design exploration considers fundamental gaze gesture phases: Exploration, Guidance, and Return. A first experiment reveals that Guidance with dynamic elements moving along 2D paths is efficient and resistant to visual complexity. A second experiment reveals that a Rapid Serial Visual Presentation of command names during Exploration allows for more than 30% faster command retrievals than a standard visual search. To resume the task where the guide was triggered, labels moving from the outward extremity of 2D paths toward the guide center leads to efficient and accurate origin retrieval during the Return phase. We evaluate our resulting Gaze Gesture Guiding system, G3, for interacting with distant objects in an office environment using a head-mounted display. Users report positively on their experience with both semaphoric gaze gestures and G3. |
Databáze: | OpenAIRE |
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