Name
Abstract | ||
|---|---|---|
This study proposes two conceptual products using wearable devices (smartwatches) for the purpose of emotional management. One is designed with Slow Technology, and the other is designed with Personal Informatics. Questionnaire survey method was used in this study. The questionnaire consists of two types, AttrakDiff and INTUI. Subjects filled out the questionnaires after watching two videos of conceptual products. The questionnaire data were analyzed by the independent sample and paired sample t-test in order to find the differences of ideas and user experience (pragmatic quality, hedonic quality, attractiveness, and intuition) about these two kinds of products. It is important to find out that the Slow Technology products are inferior to Personal Informatics products in pragmatic quality and intuition, but superior in hedonic quality and attractiveness.This study suggests that the wearable devices can be integrated with furniture and appliances to provide a material basis of intelligent decoration transformation for users with the help of recorded information and data. Before the emotion identification technology gets mature, this study can be a pilot study for future product design strategy, preparing for Slow Technology products' going to the public to improve user's emotions. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-91244-8_46 | HUMAN-COMPUTER INTERACTION: INTERACTION IN CONTEXT, HCI INTERNATIONAL 2018, PT II |
Keywords | Field | DocType |
Slow Technology, Calm Technology, Affective computing, Wearable device, Personal Informatics, Design for reflection | Personal informatics,User experience design,Computer science,Human–computer interaction,Attractiveness,Affective computing,Questionnaire,Wearable technology,Smartwatch,Multimedia,Calm technology | Conference |
Volume | ISSN | Citations |
10902 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng-Dar Shieh | 1 | 107 | 9.82 |
| Shu-hui Meng | 2 | 0 | 0.34 |
| Tzu-Yu Chuang | 3 | 0 | 0.34 |
| Fang-Chen Hsu | 4 | 1 | 1.42 |
| Chih-Chieh Yang | 5 | 127 | 13.88 |