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Detecting Semantic and Non-semantic Images by Elderly Mobile Device Users and Non-users

  • Min-Sheng Chen
  • Wei-Ru ChenEmail author
Conference paper
  • 331 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1201)

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.

Keywords

Elderly user Mobile device usage Semantic image Detection 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.National Yunlin University of Science and TechnologyDouliouPeople’s Republic of China

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