“Alexa, You're Really Stupid”: A Longitudinal Field Study on Communication Breakdowns Between Family Members and a Voice Assistant

Author:

Mavrina Lina,Szczuka Jessica,Strathmann Clara,Bohnenkamp Lisa Michelle,Krämer Nicole,Kopp Stefan

Abstract

In this paper, we present the results of our long-term study on use of a voice assistant (Amazon Alexa via Amazon Echo Dot) in nine families with children and no previous experience with this technology. The study was conducted over the course of 5 weeks during which the families could interact with the device freely. Three house visits were made to collect empirical data from the adult participants in form of questionnaires. Additionally, conversational data from log files of the voice assistant were obtained. These data were annotated and analyzed with a focus on communication breakdowns during human-assistant interaction. We investigate user behavior for both adults and children in such situations, its reasons and consequences for user satisfaction. This article provides qualitative analysis of three particularly interesting breakdown cases, as well as statistical analysis along several hypotheses and research questions combining empirical and conversational data. Described cases of communication breakdown illustrate findings from existing literature on the topic. The statistical analysis paints a mixed picture, however, it helped us identify further avenues for research, some of which can be explored with our data set in the future. We found a significant negative effect of the number of abandoned failed requests on user satisfaction, contrary to the number of successfully repaired requests that had no influence on user satisfaction. We discovered that users are more inclined to use reformulation as repair strategy when they do not perceive the emergence of miscommunication as their fault. We could not identify a significant effect of internal reasons for the choice of other strategies, so we suggest that situational clues such as the immediate response of the voice assistant are more important for the choice of repair strategy. Our results also hint that users distinguish between repair strategies differently, as the self-perceived frequency of repetitions and abortions of requests were found to be positive predictors for the use of reformulation-based strategies. With regards to the long-term aspect of the study, use of repetition as a repair strategy by both children and adults significantly decreased with time, no other changes were found for other strategies. Additionally, no significant impact of age on the choice of repair strategy was found, as well as no interaction effect between age and time.

Funder

Volkswagen Foundation

Publisher

Frontiers Media SA

Cited by 16 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. Voice Assistants' Accountability through Explanatory Dialogues;ACM Conversational User Interfaces 2024;2024-07-08

2. System and User Strategies to Repair Conversational Breakdowns of Spoken Dialogue Systems: A Scoping Review;ACM Conversational User Interfaces 2024;2024-07-08

3. "I Said Knight, Not Night!": Children's Communication Breakdowns and Repairs with AI Versus Human Partners;Proceedings of the 23rd Annual ACM Interaction Design and Children Conference;2024-06-17

4. "I Know What You Mean": Context-Aware Recognition to Enhance Speech-Based Games;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. The effects of tones and time pressure on the user experience of voice input on mobile devices for Mandarin Chinese: an experimental study;Behaviour & Information Technology;2024-02-15

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