Listen Only When Spoken To: Interpersonal Communication Cues as Smart Speaker Privacy Controls

Author:

Mhaidli Abraham1,Venkatesh Manikandan Kandadai1,Zou Yixin1,Schaub Florian1

Affiliation:

1. University of Michigan School of Information

Abstract

Abstract Internet of Things and smart home technologies pose challenges for providing effective privacy controls to users, as smart devices lack both traditional screens and input interfaces. We investigate the potential for leveraging interpersonal communication cues as privacy controls in the IoT context, in particular for smart speakers. We propose privacy controls based on two kinds of interpersonal communication cues – gaze direction and voice volume level – that only selectively activate a smart speaker’s microphone or voice recognition when the device is being addressed, in order to avoid constant listening and speech recognition by the smart speaker microphones and reduce false device activation. We implement these privacy controls in a smart speaker prototype and assess their feasibility, usability and user perception in two lab studies. We find that privacy controls based on interpersonal communication cues are practical, do not impair the smart speaker’s functionality, and can be easily used by users to selectively mute the microphone. Based on our findings, we discuss insights regarding the use of interpersonal cues as privacy controls for smart speakers and other IoT devices.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference75 articles.

1. [1] Noura Abdi, Kopo M. Ramokapane, and Jose M. Such. More than smart speakers: Security and privacy perceptions of smart home personal assistants. In Fifteenth Symposium on Usable Privacy and Security (SOUPS 2019), Santa Clara, CA, August 2019. USENIX Association.

2. [2] Mark Altosaar, Roel Vertegaal, Changuk Sohn, and Daniel Cheng. Auraorb: Using social awareness cues in the design of progressive notification appliances. In Proceedings of the 18th Australia Conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments, OZCHI ’06, pages 159–166, New York, NY, USA, 2006. ACM.

3. [3] Tawfiq Ammari, Jofish Kaye, Janice Y. Tsai, and Frank Bentley. Music, search, and iot: How people (really) use voice assistants. ACM Trans. Comput.-Hum. Interact., 26(3):17:1–17:28, April 2019.10.1145/3311956

4. [4] Newgenn Apps. 13 IoT Statistics Defining the Future of Internet of Things. Newgenn Apps, https://www.newgenapps.com/blog/iot-statistics-internet-of-things-future-research-data, 2018. Online; accessed 09/01/2018.

5. [5] Richard Baguely and Colin McDonald. “Appliance Science: Alexa, how does Alexa work? The science of the Amazon Echo”. CNET, https://www.cnet.com/news/appliance-science-alexa-how-does-alexa-work-the-science-of-amazons-echo/, 2016. Online; accessed 02/26/2019.

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. Evaluating privacy, security, and trust perceptions in conversational AI: A systematic review;Computers in Human Behavior;2024-10

2. A Closer Look at Access Control in Multi-User Voice Systems;IEEE Access;2024

3. SOVO: Usability Questionnaire for Voice-Only User Interfaces;IEEE Latin America Transactions;2023-11

4. Attitudes and preferences toward the adoption of voice-controlled intelligent personal assistants: evidence from Croatia;Information Research: an international electronic journal;2023-06-15

5. Speaker Orientation-Aware Privacy Control to Thwart Misactivation of Voice Assistants;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2023-06

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