The design of hand gestures for human-computer interaction: lessons from sign language interpreters

Details

• Personal Author:
  Camilleri MJ ; Lee DL ; Rempel D
• Description:
  The design and selection of 3D modeled hand gestures for human-computer interaction should follow principles of natural language combined with the need to optimize gesture contrast and recognition. The selection should also consider the discomfort and fatigue associated with distinct hand postures and motions, especially for common commands. Sign language interpreters have extensive and unique experience forming hand gestures and many suffer from hand pain while gesturing. Professional sign language interpreters (N=24) rated discomfort for hand gestures associated with 47 characters and words and 33 hand postures. Clear associations of discomfort with hand postures were identified. In a nominal logistic regression model, high discomfort was associated with gestures requiring a flexed wrist, discordant adjacent fingers, or extended fingers. These and other findings should be considered in the design of hand gestures to optimize the relationship between human cognitive and physical processes and computer gesture recognition systems for human-computer input. [Description provided by NIOSH]
• Subjects:
  Computers Fatigue Mental Health Musculoskeletal Diseases Musculoskeletal System Occupational Health Safety Software
• Keywords:
  Author Keywords: Gesture-based Interaction Body-mechanics Computer-equipment Computer-models Computer-software Computer Input Computer Interface Hand-injuries Hand Postures Human-factors-engineering Humans Industrial-design Mental-processes Models Multi-touch Musculoskeletal-system-disorders Physiological-effects Physiological-fatigue Repetitive-work Speech-transmission

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• ISSN:
  1071-5819
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  72
• Issue:
  10
• NIOSHTIC Number:
  nn:20046293
• Citation:
  Int J Hum-Comput Stud 2014 Oct-Nov; 72(10-11):728-735
• Contact Point Address:
  David Rempel, Ergonomics Program, Department of Bioengineering, University of California, Berkeley, 1301 South 46th Street, Building 163, Richmond, CA 94804, USA
• Email:
  david.rempel@ucsf.edu
• Federal Fiscal Year:
  2015
• Performing Organization:
  University of California, Berkeley
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  International Journal of Human-Computer Studies
• End Date:
  20250630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:ca014237fa7198225a0da472d245e20002caf5e3669285f97d239f5bffb74eb622932bd394356f99ff977ab030d83f9d9f9a82826dd11097555a1efa00f17af8
• Download URL:
  https://stacks.cdc.gov/view/cdc/201396/cdc_201396_DS1.pdf
• File Type:
  [PDF - 1.18 MB ]