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.

Highlights

  • Voice assistants (VAs) continue to become part of the daily life for more and more people

  • We were able to combine the results in form of the empirical and conversational data in order to investigate the connections between various variables present in these data sets

  • The study presented in this paper aimed at investigating the situations in which communication breakdowns occur in interactions with a voice assistant in the family context

Read more

Summary

Introduction

Voice assistants (VAs) continue to become part of the daily life for more and more people. Apart from their integration in smartphones, the sales of smart speakers are high and predicted to rise even more in the future. It is important to understand the phenomenon of voice assistants, as for many people it is or will be their major experience in speech-based human-machine interaction that will influence their perception, expectations and behavior toward this technology. Analyzing current patterns of use, problems and shortcomings of voice assistants can help us build truly conversational agents for a variety of tasks beyond question answering. It is important to investigate these aspects with regards to various demographic groups, such as children or the elderly, as they have specific qualities and requirements that demand specialized approaches to technology design

Objectives
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call