Framed Guessability: Improving the Discoverability of Gestures and Body Movements for Full-Body ...
summary
Framed Guessability is a two‑phase method that primes people with a scenario (visual, written and embodied) then elicits gestures; lab elicitation with 89 lab participants uses frames like funhouse and gym to produce coherent gesture sets. an installation at the New York Hall of Science tests those sets with 138 museum visitors and shows framed sets are significantly more discoverable than control; familiar mobile gestures fail in situ (a pinch‑zoom appears in only 1% pinch-zoom of attempts).
AI-written summary · about
chapters (9)
- 0:00Introduction and overview
- 1:55Full-body interaction challenges
- 4:25Problem with traditional elicitation
- 6:10Framed Guessability methodology
- 9:00Priming phase details
- 10:49Elicitation phase results
- 12:57In-situ study findings
- 14:45Conclusion and future work
- 15:07Q&A session
related talks
18mHidden in Plain Sight: an Exploration of a Visual Language for Near-Eye Out-of-Focus Displays in ...
18mM.Gesture: An Acceleration-Based Gesture Authoring System on Multiple Handheld and Wearable Devices
24mFrom Touch To Code: Gestures and Beyond
09mFiddling, Pointing, Hovering, and Sliding: Embodied Actions with Three Evaluation Tools for Children
07mActions, not gestures: contextualising embodied controller interactions in immersive virtual reality
17mGaze Augmentation in Egocentric Video Improves Awareness of Intention
43mDesigning for Hands, Gestures, and VR
20mExpressive Keyboards: Enriching Gesture-Typing on Mobile Devices
