TY - GEN
T1 - Investigating users' perceptions of light behaviors in smart-speakers
AU - Kunchay, Sahiti
AU - Wang, Shan
AU - Abdullah, Saeed
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/11/9
Y1 - 2019/11/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85076109133&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076109133&partnerID=8YFLogxK
U2 - 10.1145/3311957.3359479
DO - 10.1145/3311957.3359479
M3 - Conference contribution
AN - SCOPUS:85076109133
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 262
EP - 266
BT - CSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
T2 - 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019
Y2 - 9 November 2019 through 13 November 2019
ER -