Speech analysis for conceptual CAD modeling using multi-modal interfaces: An investigation into Architects' and Engineers' speech preferences. Issue 3 (14th March 2019)
- Record Type:
- Journal Article
- Title:
- Speech analysis for conceptual CAD modeling using multi-modal interfaces: An investigation into Architects' and Engineers' speech preferences. Issue 3 (14th March 2019)
- Main Title:
- Speech analysis for conceptual CAD modeling using multi-modal interfaces: An investigation into Architects' and Engineers' speech preferences
- Authors:
- Khan, Sumbul
Tunçer, Bige - Abstract:
- Abstract: Speech- and gesture-based interfaces for computer-aided design (CAD) modeling must employ vocabulary suitable for target professional groups. We conducted an experiment with 40 participants from architecture and engineering backgrounds to elicit their speech preferences for four CAD manipulation tasks: Scale, Rotate, Copy, and Move. We compiled speech command terms used by participants and analyzed verbalizations based on three analytic themes: the exactness of descriptions, the granularity of descriptions, and the use of CAD legacy terms. We found that participants from both groups used precise and vague expressions in their verbalizations and used a median of three parameters in their verbalizations. Architects used CAD legacy terms more than Engineers in the tasks Scale and Rotate. Based on these findings, we give recommendations for the design of speech- and gesture-based interface for conceptual CAD modeling.
- Is Part Of:
- AI EDAM. Volume 33:Issue 3(2019)
- Journal:
- AI EDAM
- Issue:
- Volume 33:Issue 3(2019)
- Issue Display:
- Volume 33, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 33
- Issue:
- 3
- Issue Sort Value:
- 2019-0033-0003-0000
- Page Start:
- 275
- Page End:
- 288
- Publication Date:
- 2019-03-14
- Subjects:
- Computational linguistics, -- computer-aided design, -- conceptual design, -- human–computer interaction, -- natural interfaces, -- speech analysis
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/S0890060419000015 ↗
- 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:
- 11038.xml