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

Atsushi Uenoyama, Masahiko Sakata, Miwa Nakanishi

研究成果: Conference contribution

抄録

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.

元の言語English
ホスト出版物のタイトルAdvances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017
出版者Springer Verlag
ページ314-326
ページ数13
607
ISBN(印刷物)9783319604916
DOI
出版物ステータスPublished - 2018
イベントAHFE 2017 International Conference on Usability and User Experience, 2017 - Los Angeles, United States
継続期間: 2017 7 172017 7 21

出版物シリーズ

名前Advances in Intelligent Systems and Computing
607
ISSN(印刷物)2194-5357

Other

OtherAHFE 2017 International Conference on Usability and User Experience, 2017
United States
Los Angeles
期間17/7/1717/7/21

Fingerprint

Domestic appliances
Smartphones
Blowers
Surveying
Support vector machines
Internet of things

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

これを引用

Uenoyama, A., Sakata, M., & Nakanishi, M. (2018). 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 (巻 607, pp. 314-326). (Advances in Intelligent Systems and Computing; 巻数 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. 巻 607 Springer Verlag, 2018. p. 314-326 (Advances in Intelligent Systems and Computing; 巻 607).

研究成果: Conference contribution

Uenoyama, A, Sakata, M & Nakanishi, M 2018, 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. 巻. 607, Advances in Intelligent Systems and Computing, 巻. 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. : Advances in Usability and User Experience - Proceedings of the AHFE 2017 International Conference on Usability and User Experience, 2017. 巻 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. 巻 607 Springer Verlag, 2018. pp. 314-326 (Advances in Intelligent Systems and Computing).
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