Self-determination theory as applied to the design of a software learning system using whole-body controls

Ford, Matthew, Wyeth, Peta, & Johnson, Daniel M. (2012) Self-determination theory as applied to the design of a software learning system using whole-body controls. In Proceedings of the 24th Australian Computer-Human Interaction Conference, ACM New York, The United States of America, Melbourne, Vic, pp. 146-149.

View at publisher


Whole-body computer control interfaces present new opportunities to engage children with games for learning. Stomp is a suite of educational games that use such a technology, allowing young children to use their whole body to interact with a digital environment projected on the floor. To maximise the effectiveness of this technology, tenets of self-determination theory (SDT) are applied to the design of Stomp experiences. By meeting user needs for competence, autonomy, and relatedness our aim is to increase children's engagement with the Stomp learning platform. Analysis of Stomp's design suggests that these tenets are met. Observations from a case study of Stomp being used by young children show that they were highly engaged and motivated by Stomp. This analysis demonstrates that continued application of SDT to Stomp will further enhance user engagement. It also is suggested that SDT, when applied more widely to other whole-body multi-user interfaces, could instil similar positive effects.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 57596
Item Type: Conference Paper
Refereed: Yes
Additional Information:

Table of contents available online at:

peer review:

DOI: 10.1145/2414536.2414562
ISBN: 978-1-4503-1438-1
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: ACM New York, NY, USA ©2012
Deposited On: 25 Feb 2013 00:56
Last Modified: 12 Jun 2013 15:33

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page