Learning from failures in designing and evaluating full-body interaction learning environments

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• dc.contributor.author Malinverni, Lauraca
• dc.contributor.author Parés, Narcís, 1966-ca
• dc.date.accessioned 2018-10-11T08:27:16Z
• dc.date.available 2018-10-11T08:27:16Z
• dc.date.issued 2017
• dc.description Comunicació presentada a la Conference on Human Factors in Computing Systems celebrada a Denver (Estats Units), del 6 a l'11 de maig de 2017.
• dc.description.abstract Full-Body Interaction Learning Environments (FUBILEs) are interactive experiences aimed at facilitating the use of the body and physical space as sources to help in children's construction of knowledge. The increasing importance of the field demands going beyond the initial novelty factor to better understand the specificities of this medium. In particular, little literature has debated around the definition of appropriate design and research methods. To contribute to this debate, we present two case studies from our past research, on the design and evaluation of two FUBILEs. We use these studies to set the stage for a critical reflection on methodological pitfalls and weaknesses of the approach we undertook at that moment. This post-mortem reflection offers a critical standpoint to discuss on appropriate design and research methods for FUBILEs. Finally, we discuss design guidelines and paths for research.
• dc.description.sponsorship Supported by the Spanish Ministry of Economy and Competitiveness (Grant TIN2014-60599-P).
• dc.format.mimetype application/pdf
• dc.identifier.citation Malinverni L,Pares N. Learning from failures in designing and evaluating full-body interaction learning environments. In: Extended Abstracts. Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’17); 2017 May 6-11; Denver, USA. New York: ACM; 2017. p. 1065-74. DOI: 10.1145/3027063.3053352
• dc.identifier.doi http://dx.doi.org/10.1145/3027063.3053352
• dc.identifier.isbn 978-1-4503-4656-6
• dc.identifier.uri http://hdl.handle.net/10230/35596
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machineryca
• dc.relation.ispartof Extended Abstracts. Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’17); 2017 May 6-11; Denver, USA. New York: ACM; 2017.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2014-60599-P
• dc.rights © 2017 Association for Computing Machinery
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Full-Body Interaction
• dc.subject.keyword Embodied Learning
• dc.subject.keyword Research Methods
• dc.subject.keyword Failures
• dc.title Learning from failures in designing and evaluating full-body interaction learning environmentsca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion