Investigating Users' Preferences and Expectations for Always-Listening Voice Assistants
Artikel i vetenskaplig tidskrift, 2019

Many consumers now rely on different forms of voice assistants, both stand-alone devices and those built into smartphones. Currently, these systems react to specific wake-words, such as "Alexa," "Siri," or "Ok Google." However, with advancements in natural language processing, the next generation of voice assistants could instead always listen to the acoustic environment and proactively provide services and recommendations based on conversations without being explicitly invoked. We refer to such devices as "always listening voice assistants" and explore expectations around their potential use. In this paper, we report on a 178-participant survey investigating the potential services people anticipate from such a device and how they feel about sharing their data for these purposes. Our findings reveal that participants can anticipate a wide range of services pertaining to a conversation; however, most of the services are very similar to those that existing voice assistants currently provide with explicit commands. Participants are more likely to consent to share a conversation when they do not find it sensitive, they are comfortable with the service and find it beneficial, and when they already own a stand-alone voice assistant. Based on our findings we discuss the privacy challenges in designing an always-listening voice assistant.

voice assistants

always listening

survey

Författare

Madiha Tabassum

The University of North Carolina at Charlotte

Tomasz Kosinski

Chalmers, Data- och informationsteknik, Interaktionsdesign (Chalmers)

Alisa Frik

No Swedish name

Nathan Malkin

No Swedish name

Primal Wijesekera

No Swedish name

Serge Egelman

No Swedish name

Heather Richter Lipford

The University of North Carolina at Charlotte

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

Vol. 3 4 153:1-153:23 153

Ämneskategorier

Interaktionsteknik

Systemvetenskap

Människa-datorinteraktion (interaktionsdesign)

DOI

10.1145/3369807

Mer information

Skapat

2019-12-13