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VR OR NOT? INVESTIGATING INTERFACE TYPE AND USER STRATEGIES FOR INTERACTIVE DESIGN SPACE EXPLORATION

Published online by Cambridge University Press:  19 June 2023

Ananya Nandy*
Affiliation:
University of California, Berkeley;
James Smith
Affiliation:
University of California, Berkeley;
Nicholas Jennings
Affiliation:
University of California, Berkeley;
Mike Kuniavsky
Affiliation:
Accenture Labs
Bjoern Hartmann
Affiliation:
University of California, Berkeley;
Kosa Goucher-Lambert
Affiliation:
University of California, Berkeley;
*
Nandy, Ananya, University of California, Berkeley United States of America, ananyan@berkeley.edu

Abstract

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Computational design tools allow the generation of vast numbers of possible designs, entrusting the human designer with describing constraints or specifications to guide exploration of the design space. Designers can have many different decision considerations when conducting this type of exploration, including form, function, users, or context. In this work, we investigate strategies that emerge when people are tasked with exploring a large design space within either a non-immersive (2D) or immersive (VR) interface and equipped with action-based interactions to set or envision specifications related to their considerations. Results from a 28 participant user study uncovers that people have varying strategies to enact their decision considerations that are not unique to the type of interface. However, the interfaces differ in perceptions of enabling breadth or depth of exploration holistically, with preference towards 2D interfaces to compare options, and VR to understand single designs. These results have implications for the user experience of systems that allow designers to explore the outputs of large design spaces, both at the interaction and interface levels.

Type
Article
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), 2023. Published by Cambridge University Press

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