Assessing Effectiveness and Interpretability of Light Behaviors in Smart Speakers

Sahiti Kunchay, Saeed Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Light is an important communication modality. Smart speakers leverage light behaviors with different colors and shapes to deliver a wide range of information. However, there has not been sufficient work to assess the effectiveness of these light behaviors. That is, can users correctly interpret light behaviors from smart speakers? How effective are these light behaviors across different cultures? To answer these questions, we conducted a survey with 1,006 smart speaker users from seven countries. On average, they were able to correctly identify only 37% of light behaviors used in smart speakers. Overall, Amazon Echo users accurately identified a higher proportion of light behaviors than Google Home users. Furthermore, the perceived usability varied considerably across different countries. We also interviewed six experts to design more effective light behaviors for smart speakers. Our findings have important implications for future smart speaker design and the use of light as a communication modality in HCI.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd Conference on Conversational User Interfaces, CUI 2021
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450389983
DOIs
StatePublished - Jul 27 2021
Event3rd Conference on Conversational User Interfaces, CUI 2021 - Virtual, Online, Spain
Duration: Jul 27 2021Jul 29 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd Conference on Conversational User Interfaces, CUI 2021
Country/TerritorySpain
CityVirtual, Online
Period7/27/217/29/21

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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