Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being

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Publication Details

Author list: Lawanot W., Inoue M., Yokemura T., Mongkolnam P., Nukoolkit C.

Publisher: Institute of Electrical and Electronics Engineers

Publication year: 2019

Journal: IEEE Access (2169-3536)

Volume number: 7

ISSN: 2169-3536

eISSN: 2169-3536

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077791874&doi=10.1109%2fACCESS.2019.2960467&partnerID=40&md5=ca7288bc52bc9b0d378e934317fa0cd2

Languages: English-Great Britain (EN-GB)

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Abstract

This work develops a theoretical model to examine the trust building process in an Internet of Things (IoT) based wearable platform. Specifically, various antecedents of trust are considered and its mediating role in the continuance usage intention of the wearables is studied. We also consider the moderating effect of personal innovativeness. An empirical survey is conducted, and 688 usable responses are obtained from the millennial generation users. The data is analyzed using the partial least squares method. Results show that privacy and security concerns are the two biggest hinderances to the trust building process. The users perceive mobility, and usability to be relative advantages, both of which play a positive role in enhancing the trust levels. The effect of personal innovativeness is also observed to be significant. Interestingly, the effect of social influence on the trust level is not supported, which means that boosting a positive image within the social community will not help in the diffusion and continuance usage of the wearables. Based upon the results suitable theoretical and practical implications are discussed, with stress being given to formulate specific strategies targeted towards the highly innovative users, who can improve the overall trust scenario and ensure a continued usage of the wearables. ฉ 2013 IEEE.

Keywords

continuance usage, IoT technology, personal innovativeness, wearable platform