Exploring the Extent of Usability for Augmented Profile Interfaces in Enhancing Conversation Experiences

Author:

Ryu Hyeyoung12ORCID,Bang Hyeonseok3,Hwang Daeun4,Kang Younah4ORCID

Affiliation:

1. University of Washington The Information School, , Seattle, WA, United States

2. Yonsei University Creative Technology Management, , Seoul, Korea

3. Yonsei University Design Intelligence, , Seoul, Korea

4. Yonsei University Information and Interaction Design, , Seoul, Korea

Abstract

Abstract In this study, we investigated how to design a usable augmented reality (AR) profile conversation assistant focusing on how and which information leads to enhanced conversation experience and satisfaction. We drew on usability practices including user need interviews, information disposition sessions and an experiment comparing the conversation experiences between AR profile usage and non-usage. We provide insights into how to design a user interface that can enhance users' conversation experience and satisfaction compared to existing interfaces, especially in terms of type, quantity and placement of information on the AR profile. The three main design insights are to (1) limit the topics to personal information, recent events, preferences and hobbies; (2) use a text-based card format with emojis and make a clear distinction between preferred and not preferred topics through font size and placement difference; and (3) limit the number of information provision pages to less than four pages; however, we were not able to resolve the problem of the guilt and artificiality users feel in acquiring information about others from the AR profile. Thus, to resolve this problem, we suggest shifting our paradigm from a techno-solutionist perspective to breaking the illusion of the omnipotence of technology.

Funder

National Research Foundation of Korea

Publisher

Oxford University Press (OUP)

Subject

Human-Computer Interaction,Software,Library and Information Sciences

Reference52 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3