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Using guessability framework: age-related differences in hand gesture interaction

Published:27 May 2020Publication History

ABSTRACT

Mid-air gestures have been heavily studied in HCI but with mostly younger adults (YAs). Older adults (OAs) can equally benefit from such a modality, but given their heterogeneous motor abilities, designing suitable gestures is challenging [2]. Our research specifically looks at age-related differences in hand gesture preferences between older and younger adults. This subject is important since it relates to the idea of a proper age-inclusive technological design and the means towards the successful adoption of technologies by all the layers of the population, including older adults [1].

References

  1. [n.d.]. Designing For The Elderly: Ways Older People Use Digital Technology Differently. https://www.smashingmagazine.com/2015/02/designing-digital-technology-for-the-elderly/. Accessed: 2020-20-04.Google ScholarGoogle Scholar
  2. Weiqin Chen. 2013. Gesture-based applications for elderly people. In International Conference on Human-Computer Interaction. Springer, 186--195.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Thalmic Lab. 2015. Myo Armband. https://support.getmyo.com/hc/en-us/articles/203398347-Getting-started-with-your-Myo-armbandGoogle ScholarGoogle Scholar
  4. Microsoft. [n.d.]. Kinect. https://en.wikipedia.org/wiki/KinectGoogle ScholarGoogle Scholar
  5. Panagiotis Vogiatzidakis and Panayiotis Koutsabasis. 2018. Gesture Elicitation Studies for Mid-Air Interaction: A Review. Multimodal Technologies and Interaction 2 (09 2018), 65. Google ScholarGoogle ScholarCross RefCross Ref
  6. Panagiotis Vogiatzidakis and Panayiotis Koutsabasis. 2018. Gesture Elicitation Studies for Mid-Air Interaction: A Review. Multimodal Technologies and Interaction 2 (09 2018), 65. Google ScholarGoogle ScholarCross RefCross Ref

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  1. Using guessability framework: age-related differences in hand gesture interaction

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      cover image ACM Other conferences
      AH '20: Proceedings of the 11th Augmented Human International Conference
      May 2020
      151 pages
      ISBN:9781450377287
      DOI:10.1145/3396339

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 May 2020

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