Evaluating the utility of two gestural discomfort evaluation methods

PLoS One. 2017 Apr 19;12(4):e0176123. doi: 10.1371/journal.pone.0176123. eCollection 2017.

Abstract

Evaluating physical discomfort of designed gestures is important for creating safe and usable gesture-based interaction systems; yet, gestural discomfort evaluation has not been extensively studied in HCI, and few evaluation methods seem currently available whose utility has been experimentally confirmed. To address this, this study empirically demonstrated the utility of the subjective rating method after a small number of gesture repetitions (a maximum of four repetitions) in evaluating designed gestures in terms of physical discomfort resulting from prolonged, repetitive gesture use. The subjective rating method has been widely used in previous gesture studies but without empirical evidence on its utility. This study also proposed a gesture discomfort evaluation method based on an existing ergonomics posture evaluation tool (Rapid Upper Limb Assessment) and demonstrated its utility in evaluating designed gestures in terms of physical discomfort resulting from prolonged, repetitive gesture use. Rapid Upper Limb Assessment is an ergonomics postural analysis tool that quantifies the work-related musculoskeletal disorders risks for manual tasks, and has been hypothesized to be capable of correctly determining discomfort resulting from prolonged, repetitive gesture use. The two methods were evaluated through comparisons against a baseline method involving discomfort rating after actual prolonged, repetitive gesture use. Correlation analyses indicated that both methods were in good agreement with the baseline. The methods proposed in this study seem useful for predicting discomfort resulting from prolonged, repetitive gesture use, and are expected to help interaction designers create safe and usable gesture-based interaction systems.

MeSH terms

  • Ergonomics / statistics & numerical data*
  • Female
  • Gestures*
  • Humans
  • Male
  • Posture / physiology*
  • Research Design
  • Statistics, Nonparametric

Grants and funding

This work was supported by the Global Frontier R&D Program on funded by the National Research Foundation of Korea grant funded by the Korean Government (MEST) (NRF-M1AXA003–2011- 0031425). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.