Assumptions Checked

Author:

Beneteau Erin1,Guan Yini2,Richards Olivia K.3,Zhang Mingrui Ray2,Kientz Julie A.4,Yip Jason2,Hiniker Alexis5

Affiliation:

1. Information School, University of Washington, Mary Gates Hall Suite, Seattle, WA

2. University of Washington

3. School of Information, University of Michigan, North Quad, Ann Arbor, MI

4. Human Centered Design and Engineering, University of Washington, Sieg, Seattle, WA

5. University of Washington.

Abstract

Users of voice assistants often report that they fall into patterns of using their device for a limited set of interactions, like checking the weather and setting alarms. However, it's not clear if limited use is, in part, due to lack of learning about the device's functionality. We recruited 10 diverse families to participate in a one-month deployment study of the Echo Dot, enabling us to investigate: 1) which features families are aware of and engage with, and 2) how families explore, discover, and learn to use the Echo Dot. Through audio recordings of families' interactions with the device and pre- and post-deployment interviews, we find that families' breadth of use decreases steadily over time and that families learn about functionality through trial and error, asking the Echo Dot about itself, and through outside influencers such as friends and family. Formal outside learning influencers, such as manufacturer emails, are less influential. Drawing from diffusion of innovation theory, we describe how a home-based voice interface might be positioned as a near-peer to the user, and that by describing its own functionality using just-in-time learning, the home-based voice interface becomes a trustworthy learning influencer from which users can discover new functionalities.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reenvisioning Patient Education with Smart Hospital Patient Rooms;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-12-19

2. “After she fell asleep, it went to my next podcast, which was about a serial killer”: Unveiling Needs and Expectations Regarding Parental Control within Digital Assistant;Computer Supported Cooperative Work and Social Computing;2023-10-14

3. Building Community Capacity: Exploring Voice Assistants to Support Older Adults in an Independent Living Community;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

4. "Off Script:" Design Opportunities Emerging from Long-Term Social Robot Interactions In-the-Wild;Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction;2023-03-13

5. “A realidade nem sempre é frustrante”: Alinhando os modelos mentais de usuários com as reais capacidades de Assistentes de Voz (AVs);Blucher Design Proceedings;2022-12

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