Abstract
Empathy is an essential ability for designers to step into users’ shoes and potentially discover their latent needs. However, although empathy helps designers to better understand users, the degree to which designers can actually understand them remains unclear. Consequently, it is essential to measure the accuracy of designers’ empathic understanding. In our previous work, we have adopted an experimental procedure from psychology to quantify designers’ empathic accuracy. However, the measure as such is time-consuming. Therefore, we attempted to shorten the experimental time while retaining the validity of the measure. This paper reports on the process of shortening the measure and compares the original instrument with the shortened one. The data collected from the shortened instrument shows excellent internal consistency and between subject variance and is able to produce similar results to the original longer measure.
| Original language | English |
|---|---|
| Title of host publication | 33rd International Conference on Design Theory and Methodology (DTM) |
| Publisher | American Society of Mechanical Engineers |
| ISBN (Electronic) | 978-0-7918-8542-0 |
| DOIs | |
| Publication status | Published - 2021 |
| MoE publication type | A4 Conference publication |
| Event | ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference - Virtual, Online Duration: 17 Aug 2021 → 19 Aug 2021 Conference number: 18 |
Publication series
| Name | Proceedings of the ASME Design Engineering Technical Conference |
|---|---|
| Volume | 6 |
Conference
| Conference | ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference |
|---|---|
| Abbreviated title | IDETC/CIE |
| City | Virtual, Online |
| Period | 17/08/2021 → 19/08/2021 |
Funding
This work is supported by CSC (Chinese Scholarship Council), the “Future Makers” grant of the Technology Industries of Finland Centennial Foundation and Jane and Aatos Erkko Foundation. We also wish to thank Professor Kari Tammi, Álvaro M. Chang-Arana, Xiaoqi Feng and all the participants for their help.
Keywords
- Development
- Empathic accuracy
- Empathy
- Empathy measurement
- Product design
- User understanding
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