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Study of Ageing in Complex Interface Interaction Tasks: Based on Combined Eye-Movement and HRV Bioinformatic Feedback

Author

Listed:
  • Ting Huang

    (College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China
    Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing 210037, China
    These authors contributed equally to this work.)

  • Chengmin Zhou

    (College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China
    Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing 210037, China
    These authors contributed equally to this work.)

  • Xin Luo

    (College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China)

  • Jake Kaner

    (School of Art and Design, Nottingham Trent University, Nottingham NG1 4FQ, UK)

Abstract

Human–computer interaction tends to be intelligent and driven by technological innovation. However, there is a digital divide caused by usage barriers for older users when interacting with complex tasks. To better help elderly users efficiently complete complex interactions, a smart home’s operating system’s interface is used as an example to explore the usage characteristics of elderly users of different genders. This study uses multi-signal physiological acquisition as a criterion. The results of the study showed that: (1) Older users are more attracted to iconic information than textual information. (2) When searching for complex tasks, female users are more likely to browse the whole page before locating the job. (3) Female users are more likely to browse from top to bottom when searching for complex tasks. (4) Female users are more likely to concentrate when performing complex tasks than male users. (5) Males are more likely to be nervous than females when performing complex tasks.

Suggested Citation

  • Ting Huang & Chengmin Zhou & Xin Luo & Jake Kaner, 2022. "Study of Ageing in Complex Interface Interaction Tasks: Based on Combined Eye-Movement and HRV Bioinformatic Feedback," IJERPH, MDPI, vol. 19(24), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16937-:d:1005841
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    References listed on IDEAS

    as
    1. Na Yu & Ziwei Ouyang & Hehe Wang & Da Tao & Liang Jing, 2022. "The Effects of Smart Home Interface Touch Button Design Features on Performance among Young and Senior Users," IJERPH, MDPI, vol. 19(4), pages 1-15, February.
    2. Juan Carlos Briede-Westermeyer & Bélgica Pacheco-Blanco & Marianela Luzardo-Briceño & Cristhian Pérez-Villalobos, 2020. "Mobile Phone Use by the Elderly: Relationship between Usability, Social Activity, and the Environment," Sustainability, MDPI, vol. 12(7), pages 1-14, March.
    3. Jackie Street & Helen Barrie & Jaklin Eliott & Lucy Carolan & Fidelma McCorry & Andreas Cebulla & Lyn Phillipson & Kathleen Prokopovich & Scott Hanson-Easey & Teresa Burgess & on behalf of the Smart A, 2022. "Older Adults’ Perspectives of Smart Technologies to Support Aging at Home: Insights from Five World Café Forums," IJERPH, MDPI, vol. 19(13), pages 1-21, June.
    4. Juliana Damasio Oliveira & Debora C. Engelmann & Davi Kniest & Renata Vieira & Rafael H. Bordini, 2022. "Multi-Agent Interaction to Assist Visually-Impaired and Elderly People," IJERPH, MDPI, vol. 19(15), pages 1-14, July.
    5. Guo-Ming Sung & Yen-Shin Shen & Jia-Hong Hsieh & Yu-Kai Chiu, 2019. "Internet of Things–based smart home system using a virtualized cloud server and mobile phone app," International Journal of Distributed Sensor Networks, , vol. 15(9), pages 15501477198, September.
    6. Chien-Huang Lin & Ming Chen, 2019. "The icon matters: how design instability affects download intention of mobile apps under prevention and promotion motivations," Electronic Commerce Research, Springer, vol. 19(1), pages 211-229, March.
    Full references (including those not matched with items on IDEAS)

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