TY - GEN
T1 - Estimating user’s intention and emotion by analyzing operation log data of IoT appliances
AU - Uenoyama, Atsushi
AU - Sakata, Masahiko
AU - Nakanishi, Miwa
PY - 2018
Y1 - 2018
N2 - Smartphones can be readily used to operate home appliances remotely, and we can gather log data when a user operates home appliances. However, currently, there is no established method for using the collected log data, and they remain unused. Therefore, assuming some relevance between the operation of home appliances and the intention and emotion of users, we aimed to establish a method for analyzing the former and understanding the latter. We implemented an application that can operate a cold/hot blower via smartphones while simultaneously surveying users’ intentions and emotions. It was used by participants daily for approximately 3 months. As a result, we found effective operation sequence rules for estimating intention and emotion and could construct a model that estimated intention and emotion with good accuracy from the operation log data using support vector machine.
AB - Smartphones can be readily used to operate home appliances remotely, and we can gather log data when a user operates home appliances. However, currently, there is no established method for using the collected log data, and they remain unused. Therefore, assuming some relevance between the operation of home appliances and the intention and emotion of users, we aimed to establish a method for analyzing the former and understanding the latter. We implemented an application that can operate a cold/hot blower via smartphones while simultaneously surveying users’ intentions and emotions. It was used by participants daily for approximately 3 months. As a result, we found effective operation sequence rules for estimating intention and emotion and could construct a model that estimated intention and emotion with good accuracy from the operation log data using support vector machine.
KW - Estimating emotion
KW - IoT home appliances
KW - Log data
UR - http://www.scopus.com/inward/record.url?scp=85022341916&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85022341916&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60492-3_30
DO - 10.1007/978-3-319-60492-3_30
M3 - Conference contribution
AN - SCOPUS:85022341916
SN - 9783319604916
VL - 607
T3 - Advances in Intelligent Systems and Computing
SP - 314
EP - 326
BT - Advances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017
PB - Springer Verlag
T2 - AHFE 2017 International Conference on Usability and User Experience, 2017
Y2 - 17 July 2017 through 21 July 2017
ER -