As global population aging accelerates, enhancing the quality of life for older adults at home has become critical. This study evaluates kitchen appliance user experiences, focusing on elderly users’ needs in intergenerational contexts. The research uses a multimodal data collection approach, combining eye-tracking, electromyography, pressure sensing, and behavioral analysis to examine older adults’ interactions with kitchen appliances. The methodology employed Tobii Glasses 2 for visual attention tracking, ErgoLab EMG for muscle fatigue measurement, pressure sensors for force distribution, and behavioral recordings for operation pattern analysis. Questionnaires collected System Usability Scale (SUS) and Technology Acceptance Model (TAM) data. Based on comparative analysis between elderly and younger users, design recommendations were developed for both physical interaction and interface design.

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Physiological and Behavioral Analysis Based Multimodal Evaluation of Older Adults’ Experience with Kitchen Appliances

  • Cheng Xue,
  • Minghui Liu,
  • Yuxiang Zhai,
  • Jiachen Du,
  • Xinyi Fu

摘要

As global population aging accelerates, enhancing the quality of life for older adults at home has become critical. This study evaluates kitchen appliance user experiences, focusing on elderly users’ needs in intergenerational contexts. The research uses a multimodal data collection approach, combining eye-tracking, electromyography, pressure sensing, and behavioral analysis to examine older adults’ interactions with kitchen appliances. The methodology employed Tobii Glasses 2 for visual attention tracking, ErgoLab EMG for muscle fatigue measurement, pressure sensors for force distribution, and behavioral recordings for operation pattern analysis. Questionnaires collected System Usability Scale (SUS) and Technology Acceptance Model (TAM) data. Based on comparative analysis between elderly and younger users, design recommendations were developed for both physical interaction and interface design.