Abstract
The purpose of this study is, firstly, to investigate differences in image detection ability in the elderly, between mobile device users and non-users and, secondly, to identify whether different image types and set sizes influence the performance of the two groups. Several semantic or non-semantic images were presented simultaneously to participants who were asked to recognize if they had or had not seen the image before. Results showed that users performed better than non-users, and participants performed better with semantic images than non-semantic images. The results of the study provide a basis for developing age-friendly interfaces on mobile devices, thereby promoting the image detection performance of the elderly.
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Chen, MS., Chen, WR. (2021). Detecting Semantic and Non-semantic Images by Elderly Mobile Device Users and Non-users. In: Ayaz, H., Asgher, U. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201. Springer, Cham. https://doi.org/10.1007/978-3-030-51041-1_31
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DOI: https://doi.org/10.1007/978-3-030-51041-1_31
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