Exploring the design of interactive smart textiles for emotion regulation

Jiang, Mengqi, Bhömer, Martijn ten and Liang, Hai-Ning (2020) Exploring the design of interactive smart textiles for emotion regulation. In: HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments. Lecture Notes in Computer Science, 12429 (12429). Springer, Cham, pp. 298-315. ISBN 9783030599874

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (1MB) | Preview

Abstract

The present study aims to investigate the design of interactive textiles for emotion regulation. In this work we proposed a design which allows users to visualize their physiological data and help regulate their emotions. We used the Research through Design method to explore how physiological data could be represented in four different interactive textiles and how movement-based interaction could be designed to support users’ understanding and regulation of their emotional state. After an initial user interview evaluation with several textile prototypes, light and vibration were selected as modalities within the biofeedback-based interaction. A smart interactive shawl that reacts to changes in emotional arousal was designed to help the users know their emotion and adjust it, if necessary, with the support of electrodermal activity sensor and pressure-based sensors. The results of the second study showed that the smart shawl could help the user to visualize their emotions and reduce their stress level by interacting with it. © 2020, Springer Nature Switzerland AG.

Item Type: Book Section
Additional Information: This is under GUPL
Keywords: Design; Smart Textiles; Emotion regulation; Interactive Textiles; Research though Design
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Identification Number: https://doi.org/10.1007/978-3-030-59987-4_22
Depositing User: QIU, Lulu
Date Deposited: 28 Dec 2020 07:38
Last Modified: 28 Dec 2020 07:38
URI: https://eprints.nottingham.ac.uk/id/eprint/64177

Actions (Archive Staff Only)

Edit View Edit View