The configuration and experience mapping of an accessible VR environment for effective design reviews. Issue 3 (20th August 2020)
- Record Type:
- Journal Article
- Title:
- The configuration and experience mapping of an accessible VR environment for effective design reviews. Issue 3 (20th August 2020)
- Main Title:
- The configuration and experience mapping of an accessible VR environment for effective design reviews
- Authors:
- Wodehouse, Andrew
Loudon, Brian
Urquhart, Lewis - Abstract:
- Abstract: This paper presents a new VR interaction environment for the evaluation of digital prototypes, specifically in designer–client review sessions, and documents its implementation via experience mapping. Usability of VR controllers and basic manipulation remains a barrier for lay users, and a range of typical implementations are reviewed, highlighting the need for an easily accessible interface for this setting. The resulting interface configuration – the Control Carousel – demonstrates how the appropriate use of familiar mechanisms can increase VR accessibility. Three case studies using the Carousel in commercial design projects are described, and the subsequent interface refinements outlined. Finally, the development of an experience map describing the logistical, interactive, and emotive factors affecting the Carousel's implementation is documented. This provides insights on how experience mapping can be used as part of a human-centred design process to ensure VR environments are attuned to the requirements of users, in this instance delivering improved collaborative reviews.
- Is Part Of:
- AI EDAM. Volume 34:Issue 3(2020)
- Journal:
- AI EDAM
- Issue:
- Volume 34:Issue 3(2020)
- Issue Display:
- Volume 34, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 34
- Issue:
- 3
- Issue Sort Value:
- 2020-0034-0003-0000
- Page Start:
- 387
- Page End:
- 400
- Publication Date:
- 2020-08-20
- Subjects:
- Accessibility, -- controller design, -- design review, -- virtual reality
Engineering design -- Data processing -- Periodicals
Artificial intelligence -- Periodicals
Expert systems (Computer science) -- Periodicals
620.00420285 - Journal URLs:
- http://www.journals.cambridge.org/jid%5FAIE ↗
- DOI:
- 10.1017/S0890060420000293 ↗
- Languages:
- English
- ISSNs:
- 0890-0604
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14703.xml