An Empirical Study on the Interaction Capability of Arm Stretching

Feng Tian, Fei Lyu, Xiaolong (Luke) Zhang, Xiangshi Ren, Hongan Wang

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Body-based motion gestures have been gaining popularity in designing interactive systems. However, theories and design guidelines on the use of body movement in design have not been fully evaluated. This article investigates human ability to perform discrete target selection tasks using stretching action through two controlled experiments. The experimental results indicate that: (1) the range of the discrete levels of depth that users can easily discriminate with arm stretching is up to 16 with full visual feedback, but is down to 4 without the feedback; (2) dwelling, a gesture with keeping a hand motionless and the cursor within a target area for a certain amount of time, may be the best gesture for confirmation command; (3) full visual feedback can improve the user performance; and (4) arm stretching action can be modeled using Fitts’ law. We also discuss the design potentials for Stretch Widgets based on these results.

Original languageEnglish (US)
Pages (from-to)565-575
Number of pages11
JournalInternational Journal of Human-Computer Interaction
Volume33
Issue number7
DOIs
StatePublished - Jul 3 2017

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications

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