Perceived Quality Evaluation with the Use of Extended Reality
Paper in proceeding, 2019

If designers want to communicate quality aspects of the product, there is a need to bring these characteristics into the measurable space of perceived quality (PQ) attributes. To illustrate the solution for designers' dilemma of the “best design choice” in this study we applied the PQ attributes importance ranking (PQAIR) method, with the example of a bread toaster. We choose for evaluation three PQ attributes which can significantly influence visual quality of a product: Gap, Flush and Parallelism. We performed the experiment measuring subjective preferences over the toaster designs of two respondent's groups - “Designers” and “Customers.” We used sequentially: (i) web-survey (still images); (ii) desktop system; and (iii) fully immersive head-mounted display system (Virtual Reality). Consequently, we conducted a post-experiment survey regarding subjective preferences, related to the PQ communication channels that have been implemented during the study. Our results indicate advantages and drawbacks for each PQ communication method that we applied in this experiment and encourage further research in the area of products' perceived quality assessment.

virtual reality

perceived quality

robust design

new product development

industrial design

Author

Kostas Stylidis

Chalmers, Industrial and Materials Science, Product Development

Andreas Dagman

Chalmers, Industrial and Materials Science, Product Development

Håkan Almius

Chalmers, Industrial and Materials Science, Design and Human Factors

Liang Gong

Chalmers, Industrial and Materials Science, Production Systems

Rikard Söderberg

Chalmers, Industrial and Materials Science

Proceedings of the International Conference on Engineering Design, ICED

22204334 (ISSN) 22204342 (eISSN)

Vol. 1 1 1993-2002

22nd International Conference on Engineering Design, ICED 2019
Delft, Netherlands,

Digital Twin for Geometry Assured Production

VINNOVA (2017-05220), 2018-01-01 -- 2019-12-31.

Subject Categories

Mechanical Engineering

Production Engineering, Human Work Science and Ergonomics

Other Mechanical Engineering

Other Engineering and Technologies

Other Engineering and Technologies not elsewhere specified

Human Computer Interaction

Areas of Advance

Production

Materials Science

DOI

10.1017/dsi.2019.205

More information

Latest update

3/25/2020