| id |
acadia17_318 |
| authors |
Khan, Sumbul; Tunçer, Bige |
| year |
2017 |
| title |
Intuitive and Effective Gestures for Conceptual Architectural Design: An Analysis Of User Elicited Hand Gestures For 3D CAD Modeling |
| source |
ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 318- 323 |
| doi |
https://doi.org/10.52842/conf.acadia.2017.318
|
| summary |
Gesture-based natural interfaces necessitate research into gestures that are intuitive for designers and effective for natural interaction. Intuitive knowledge is significant for conceptual design as it reduces time taken to complete tasks and improves usability of products. In a previously conducted experiment, we elicited gestures for 3D CAD modeling tasks for conceptual architectural design. In this study, we present a preliminary analysis of intuitiveness scores of gestures and evaluators’ ratings to analyze which gestures were more intuitive and effective for CAD manipulation tasks. Results show that gestures with high intuitive scores were not necessarily rated as effective by evaluators and that bimanual symmetric gestures consistently scored high for both intuitiveness and effectiveness. Based on our findings we give recommendations for the design of gesture-based CAD modeling systems for single and multiple users. |
| keywords |
design methods; information processing; HCI; collaboration; art and technology |
| series |
ACADIA |
| email |
|
| full text |
 file.pdf (639,260 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:52 |
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