Investigating users' perceptions of light behaviors in smart-speakers

Sahiti Kunchay, Shan Wang, Saeed Abdullah

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

4 Scopus citations


Light expressions can communicate and convey information in an unobtrusive manner. Smart-speakers employ light behaviors to indicate a wide range of device states as well as notifying users. However, no prior work has looked into the eficacy of these light behaviors in smart-speakers. That is, can users distinguish and understand information states associated with diferent light behaviors in smartspeakers? In this work, we aim to address this gap by investigating whether users can accurately identify light behaviors in Amazon Echo and Google Home devices. For this, we conducted an MTurk survey with 243 smart-speaker owners. Our findings reveal that only 34% of the light behaviors are correctly recognized by users on average. Moreover, we found that users find it easier to recognize light behaviors in Amazon Echo than in Google Home devices. These findings show a clear need for rethinking the design of light behaviors in smart-speakers. We also explored novel light behaviors that users might find useful but are not supported by current devices including expressing sentiment and privacy notifications.

Original languageEnglish (US)
Title of host publicationCSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Electronic)9781450366922
StatePublished - Nov 9 2019
Event22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019 - Austin, United States
Duration: Nov 9 2019Nov 13 2019

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW


Conference22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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