Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)

Evaluating Smartphone Vibration Patterns and Evoked Feelings using Semantic Differential Method

Authors
Ryusei Fukuda1, *, Shinji Miyake1, Daiji Kobayashi2
1Graduate School of Chitose Institute of Science and Technology, Hokkaido, Japan
2Chitose Institute of Science and Technology, Hokkaido, Japan
*Corresponding author. Email: m2230290@photon.chitose.ac.jp
Corresponding Author
Ryusei Fukuda
Available Online 29 February 2024.
DOI
10.2991/978-94-6463-388-7_6How to use a DOI?
Keywords
Tactile Interface; Vibration Pattern; Semantic Differential Method
Abstract

Vibration patterns or tactile patterns are widely used as user interfaces to alert users about messages from mobile devices. Previous studies suggested that elderly users can understand the meanings of up to three vibration patterns. However, if a vibration pattern evokes a sensory image or emotion, it can carry the message relating to that image or emotion; therefore, users are not required to learn more vibrational patterns associated with declarative knowledge. To confirm this hypothesis, we aimed to clarify the user feelings evoked by vibration patterns using the semantic differential method (SDM) and, as the first step, created six vibration patterns for investigation. SDM can quantify the feelings evoked by a subject, image, and concept. Questionnaire items were designed as fifteen adjective pairs using a seven-point Likert scale. Eighteen healthy male students participated. An analysis of the questionnaire data by exploratory factor analysis revealed three factors affecting the subjective feelings of vibration patterns, including dominant ones named “Nervousness” and “Calmness.” A verification experiment confirmed the validity of the two dominant factors using three vibration patterns characterized more by “Nervousness” and/or “Calmness.” Consequently, the method that characterized vibration patterns by dominant factors was useful for designing patterns that evoke common feelings.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 February 2024
ISBN
978-94-6463-388-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-388-7_6How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Ryusei Fukuda
AU  - Shinji Miyake
AU  - Daiji Kobayashi
PY  - 2024
DA  - 2024/02/29
TI  - Evaluating Smartphone Vibration Patterns and Evoked Feelings using Semantic Differential Method
BT  - Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)
PB  - Atlantis Press
SP  - 69
EP  - 81
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-388-7_6
DO  - 10.2991/978-94-6463-388-7_6
ID  - Fukuda2024
ER  -