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Modeling Behavior Patterns with an Unfamiliar Voice User Interface

Published: 07 June 2019 Publication History

Abstract

Voice User Interfaces (VUIs) are becoming increasingly popular. However, how VUIs can adapt to user differences remains insufficiently understood. We analyze usage data from a user study (n=50) where participants interacted with an unfamiliar VUI. Through automated clustering and statistical analysis, we present user models of their behavior patterns. We found user behavior can be grouped into three clusters: people who become proficient with the system and typically stay proficient while completing different tasks, people who exhibit an exploratory approach to completing tasks, and people who struggled to complete tasks. We discuss design implications based on these behavior clusters.

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Cited By

View all
  • (2021)“Try, Try, Try Again:” Sequence Analysis of User Interaction Data with a Voice User InterfaceProceedings of the 3rd Conference on Conversational User Interfaces10.1145/3469595.3469613(1-8)Online publication date: 27-Jul-2021
  • (2021)Designers Characterize Naturalness in Voice User Interfaces: Their Goals, Practices, and ChallengesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445579(1-13)Online publication date: 6-May-2021
  • (2020)Intelligibility Issues Faced by Smart Speaker Enthusiasts in Understanding What Their Devices Do and WhyProceedings of the 32nd Australian Conference on Human-Computer Interaction10.1145/3441000.3441068(314-328)Online publication date: 2-Dec-2020

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Published In

cover image ACM Conferences
UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization
June 2019
377 pages
ISBN:9781450360210
DOI:10.1145/3320435
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 07 June 2019

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Author Tags

  1. automated clustering
  2. user modeling
  3. voice user interfaces

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UMAP '19 Paper Acceptance Rate 30 of 122 submissions, 25%;
Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

View all
  • (2021)“Try, Try, Try Again:” Sequence Analysis of User Interaction Data with a Voice User InterfaceProceedings of the 3rd Conference on Conversational User Interfaces10.1145/3469595.3469613(1-8)Online publication date: 27-Jul-2021
  • (2021)Designers Characterize Naturalness in Voice User Interfaces: Their Goals, Practices, and ChallengesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445579(1-13)Online publication date: 6-May-2021
  • (2020)Intelligibility Issues Faced by Smart Speaker Enthusiasts in Understanding What Their Devices Do and WhyProceedings of the 32nd Australian Conference on Human-Computer Interaction10.1145/3441000.3441068(314-328)Online publication date: 2-Dec-2020

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