Intermanual Deictics: Uncovering Users' Gesture Preferences for Opposite-Arm Referential Input, from Fingers to Shoulder

要旨

We examine intermanual deictics, a distinctive class of gesture input characterized by an intermanual structure, asymmetric postural-manipulative articulation, and a deictic nature, drawing from both on-skin and bimanual mid-air gestures. To understand user preferences for gestures featuring these characteristics, we conducted a large-sample end-user elicitation study with 75 participants, who proposed intermanual deictics involving the opposite palm, forearm, and upper arm. Our results reveal a strong preference for physical-contact gestures primarily performed with the index finger, with strokes (62.4%) and touch input (28.8%) being most common, complemented by some preference for non-contact gestures (5.2%). We report similar agreement rates across gestures elicited in the three arm regions, averaging 26.3%, with higher agreement between the forearm and upper arm. We also present a consensus set of sixty gestures for effecting generic commands in interactive systems, along with design principles encompassing multiple practical implications for interactions that incorporate intermanual deictics.

著者
Radu-Daniel Vatavu
Ștefan cel Mare University of Suceava, Suceava, Romania
Bogdan-Florin Gheran
Stefan cel Mare University of Suceava, Suceava, Romania
DOI

10.1145/3706598.3713474

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713474

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Design for Physical Interactions

G318+G319
7 件の発表
2025-04-29 23:10:00
2025-04-30 00:40:00
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