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2021 | OriginalPaper | Chapter

Older Adults’ Voice Search through the Human-Engaged Computing Perspective

Authors : Xiaojun (Jenny) Yuan, Xiangshi Ren

Published in: HCI International 2021 - Late Breaking Posters

Publisher: Springer International Publishing

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Abstract

This chapter delves into the application of Human-Engaged Computing (HEC) to voice search systems, specifically focusing on older adults. It begins by discussing the background of HEC and its differences from traditional Human-Computer Interaction (HCI). The chapter then explores the challenges and opportunities of voice search for older adults, highlighting their unique interaction styles and preferences. Two case studies are presented, demonstrating how HEC can be applied to improve older adults' engagement with voice search systems. The first case study focuses on increasing engagement through mindful interaction design, while the second case study discusses methods for evaluating and measuring engagement. The chapter concludes with a call for further research and user studies in this area. By combining theoretical insights with practical examples, this chapter offers valuable insights for professionals seeking to design more engaging and effective voice search systems for older adults.
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Metadata
Title
Older Adults’ Voice Search through the Human-Engaged Computing Perspective
Authors
Xiaojun (Jenny) Yuan
Xiangshi Ren
Copyright Year
2021
Book
HCI International 2021 - Late Breaking Posters

Print ISBN: 978-3-030-90175-2

Electronic ISBN: 978-3-030-90176-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-90176-9_39