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].
- [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 Scholar
- Weiqin Chen. 2013. Gesture-based applications for elderly people. In International Conference on Human-Computer Interaction. Springer, 186--195.Google ScholarDigital Library
- Thalmic Lab. 2015. Myo Armband. https://support.getmyo.com/hc/en-us/articles/203398347-Getting-started-with-your-Myo-armbandGoogle Scholar
- Microsoft. [n.d.]. Kinect. https://en.wikipedia.org/wiki/KinectGoogle Scholar
- Panagiotis Vogiatzidakis and Panayiotis Koutsabasis. 2018. Gesture Elicitation Studies for Mid-Air Interaction: A Review. Multimodal Technologies and Interaction 2 (09 2018), 65. Google ScholarCross Ref
- Panagiotis Vogiatzidakis and Panayiotis Koutsabasis. 2018. Gesture Elicitation Studies for Mid-Air Interaction: A Review. Multimodal Technologies and Interaction 2 (09 2018), 65. Google ScholarCross Ref
Index Terms
- Using guessability framework: age-related differences in hand gesture interaction
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