A study of applying slow technology on wearable devices

Meng Dar Shieh, Shu hui Meng, Tzu Yu Chuang, Fang Chen Hsu, Chih Chieh Yang

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


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.

Original languageEnglish
Title of host publicationHuman-Computer Interaction. Theories, Methods, and Human Issues - 20th International Conference, HCI International 2018, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Number of pages20
ISBN (Print)9783319912431
Publication statusPublished - 2018
Event20th International Conference on Human-Computer Interaction, HCI 2018 - Las Vegas, United States
Duration: 2018 Jul 152018 Jul 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10902 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference20th International Conference on Human-Computer Interaction, HCI 2018
Country/TerritoryUnited States
CityLas Vegas

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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