The Kansei Images of Blister Packaging Through Tactile Perception

Shang Ru Yu, Hsi Jen Chen

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

1 Citation (Scopus)


With the growing importance of User Experience (UX), Kansei design become the key elements of competitive advantages between products, and consumer demand gradually changes from functional to psychological. As the first medium contacted between consumers’ senses in the process of consumption, previous researches on Kansei engineering have paid more attention to the image of products and materials. Blister packaging is common in the marketspace, and its physical factors and texture changes are rarely discussed. Thus, the purpose of this study is to investigate the correlation between perceived meanings and the hardness of blister package in order to explore the image of blister package through Kansei engineering and establish the relation between geometric form, hardness and the image. The results showed the importance of package hardness on consumer psychology, indicating that the high hardness package provided the sense of luxury and delicate. It is also found that the hardness of tactile is similar with the Fechner law. Meanwhile, geometric perceptions affect sense of touch. Our results contribute to the HCI community by delivering knowledge about the packaging design of interaction.

Original languageEnglish
Title of host publicationHCI International 2020 - Late Breaking Papers
Subtitle of host publicationUser Experience Design and Case Studies - 22nd HCI International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Aaron Marcus, Elizabeth Rosenzweig, Pei-Luen Patrick Rau, Abbas Moallem, Matthias Rauterberg
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
ISBN (Print)9783030601133
Publication statusPublished - 2020
Event22nd International Conference on Human-Computer Interaction,HCII 2020 - Copenhagen, Denmark
Duration: 2020 Jul 192020 Jul 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12423 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference22nd International Conference on Human-Computer Interaction,HCII 2020

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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