Bridging the Cognitive Gap: Optimizing Gesture Interaction Design for the Elderly
Abstract
With the advancement of technology, individuals are on the verge of embracing an era of artificial intelligence (AI). While the utilization of innovative products enhances convenience in people's lives, it often brings forth new challenges and problems. The elderly, in particular, face additional obstacles in using AI products due to physical and cognitive aging. However, gestural interaction, as a new means of interaction, has the potential to address this issue.In this paper, we employ qualitative research methods to explore the guidelines for gesture interaction between AI systems and elderly users. By conducting focus group interviews, we identify a suitable set of gesture commands and analyze the factors that impact the elderly's comprehension of gestures. The results of our study provide valuable research methods and guidelines for future gesture command design.
Keywords: Human-AI interaction, Gesture control, Elderly population
DOI: 10.54941/ahfe1004543
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