Estimating user’s intention and emotion by analyzing operation log data of IoT appliances

Atsushi Uenoyama, Masahiko Sakata, Miwa Nakanishi

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

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017
PublisherSpringer Verlag
Pages314-326
Number of pages13
Volume607
ISBN (Print)9783319604916
DOIs
Publication statusPublished - 2018
EventAHFE 2017 International Conference on Usability and User Experience, 2017 - Los Angeles, United States
Duration: 2017 Jul 172017 Jul 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume607
ISSN (Print)2194-5357

Other

OtherAHFE 2017 International Conference on Usability and User Experience, 2017
CountryUnited States
CityLos Angeles
Period17/7/1717/7/21

Fingerprint

Domestic appliances
Smartphones
Blowers
Surveying
Support vector machines
Internet of things

Keywords

  • Estimating emotion
  • IoT home appliances
  • Log data

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Uenoyama, A., Sakata, M., & Nakanishi, M. (2018). Estimating user’s intention and emotion by analyzing operation log data of IoT appliances. In Advances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017 (Vol. 607, pp. 314-326). (Advances in Intelligent Systems and Computing; Vol. 607). Springer Verlag. https://doi.org/10.1007/978-3-319-60492-3_30

Estimating user’s intention and emotion by analyzing operation log data of IoT appliances. / Uenoyama, Atsushi; Sakata, Masahiko; Nakanishi, Miwa.

Advances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017. Vol. 607 Springer Verlag, 2018. p. 314-326 (Advances in Intelligent Systems and Computing; Vol. 607).

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

Uenoyama, A, Sakata, M & Nakanishi, M 2018, Estimating user’s intention and emotion by analyzing operation log data of IoT appliances. in Advances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017. vol. 607, Advances in Intelligent Systems and Computing, vol. 607, Springer Verlag, pp. 314-326, AHFE 2017 International Conference on Usability and User Experience, 2017, Los Angeles, United States, 17/7/17. https://doi.org/10.1007/978-3-319-60492-3_30
Uenoyama A, Sakata M, Nakanishi M. Estimating user’s intention and emotion by analyzing operation log data of IoT appliances. In Advances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017. Vol. 607. Springer Verlag. 2018. p. 314-326. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-60492-3_30
Uenoyama, Atsushi ; Sakata, Masahiko ; Nakanishi, Miwa. / Estimating user’s intention and emotion by analyzing operation log data of IoT appliances. Advances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017. Vol. 607 Springer Verlag, 2018. pp. 314-326 (Advances in Intelligent Systems and Computing).
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