Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
ไม่พบข้อมูลที่เกี่ยวข้อง
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Lawanot W., Inoue M., Yokemura T., Mongkolnam P., Nukoolkit C.
ผู้เผยแพร่: Institute of Electrical and Electronics Engineers
ปีที่เผยแพร่ (ค.ศ.): 2019
วารสาร: IEEE Access (2169-3536)
Volume number: 7
นอก: 2169-3536
eISSN: 2169-3536
ภาษา: English-Great Britain (EN-GB)
ดูในเว็บของวิทยาศาสตร์ | ดูบนเว็บไซต์ของสำนักพิมพ์ | บทความในเว็บของวิทยาศาสตร์
บทคัดย่อ
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.
คำสำคัญ
continuance usage, IoT technology, personal innovativeness, wearable platform