Framed Guessability: Improving the Discoverability of Gestures and Body Movements for Full-Body Interaction

dc.contributor.authorCafaro, Francesco
dc.contributor.authorLyons, Leilah
dc.contributor.authorAntle, Alissa N.
dc.contributor.departmentHuman-Centered Computing, School of Informatics and Computingen_US
dc.date.accessioned2019-12-31T16:35:37Z
dc.date.available2019-12-31T16:35:37Z
dc.date.issued2018-04
dc.description.abstractThe wide availability of body-sensing technologies (such as Nintendo Wii and Microsoft Kinect) has the potential to bring full-body interaction to the masses, but the design of hand gestures and body movements that can be easily discovered by the users of such systems is still a challenge. In this paper, we revise and evaluate Framed Guessability, a design methodology for crafting discoverable hand gestures and body movements that focuses participants' suggestions within a "frame," i.e. a scenario. We elicited gestures and body movements via the Guessability and the Framed Guessability methods, consulting 89 participants in-lab. We then conducted an in-situ quasi-experimental study with 138 museum visitors to compare the discoverability of gestures and body movements elicited with these two methods. We found that the Framed Guessability movements were more discoverable than those generated via traditional Guessability, even though in the museum there was no reference to the frame.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationCafaro, F., Lyons, L., & Antle, A. N. (2018, April). Framed Guessability: Improving the Discoverability of Gestures and Body Movements for Full-Body Interaction. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (p. 593). ACM. https://doi.org/10.1145/3173574.3174167en_US
dc.identifier.urihttps://hdl.handle.net/1805/21642
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation.isversionof10.1145/3173574.3174167en_US
dc.relation.journalProceedings of the 2018 CHI Conference on Human Factors in Computing Systemsen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectembodied interactionen_US
dc.subjectfull-body interactionen_US
dc.subjecthuman-data interactionen_US
dc.titleFramed Guessability: Improving the Discoverability of Gestures and Body Movements for Full-Body Interactionen_US
dc.typeArticleen_US
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