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Designers’ perceptions of a sensor-enabled diary method for enhancing user research

Published online by Cambridge University Press:  16 May 2024

Yuki Taoka ,
Tomoyuki Tanaka ,
Momoko Nakatani  and
Shigeki Saito
Yuki Taoka*
Affiliation:
Tokyo Institute of Technology, Japan
Tomoyuki Tanaka
Affiliation:
Tokyo Institute of Technology, Japan
Momoko Nakatani
Affiliation:
Tokyo Institute of Technology, Japan
Shigeki Saito
Affiliation:
Tokyo Institute of Technology, Japan
*
taoka.y.aa@m.titech.ac.jp

Abstract

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This study proposes a diary method enabled with IoT sensors for user research in design. It addresses the limitations of diary methods by incorporating sensor data to trigger user self-reports. The focus is on how sensor data influences self-reports and designers' perceptions. Results show that sensor-enabled diaries offer more diverse content and overview of users’ lives and designers perceived the proposed method potentials, suggesting significant potential for IoT in user research.

Keywords

user interviewdiary methoddesign methodsdata-driven designinternet of things (IoT)
Type
Artificial Intelligence and Data-Driven Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2267 - 2276
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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