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

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dc.contributor.author Malinverni, Laura
dc.contributor.author Parés, Narcís, 1966-
dc.date.accessioned 2018-10-11T08:27:16Z
dc.date.available 2018-10-11T08:27:16Z
dc.date.issued 2017
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.isbn 978-1-4503-4656-6
dc.identifier.uri http://hdl.handle.net/10230/35596
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.language.iso eng
dc.publisher ACM Association for Computer Machinery
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.rights © 2017 Association for Computing Machinery
dc.title Learning from failures in designing and evaluating full-body interaction learning environments
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1145/3027063.3053352
dc.subject.keyword Full-Body Interaction
dc.subject.keyword Embodied Learning
dc.subject.keyword Research Methods
dc.subject.keyword Failures
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2014-60599-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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