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A Gesture Elicitation Study to Generate Interaction Design Insights for Self-reporting of Mental and Body States Using a Portable Device

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Advances in Industrial Design (AHFE 2021)

Abstract

Self-report of mental or body states through Ecological Momentary Assessment is recommended over asynchronous methods, however, in contexts where users lack time for self-reporting, as with factory operators, this is a challenge. Furthermore, interaction designers lack references and guidelines to design these interactions. We designed a speculative prototype of a portable device that could recognise gestures corresponding to certain mental and body states and we conducted a gesture elicitation study with the prototype with eight participants. The gesture data were analysed and represented graphically to guide and inspire interaction designers. These visualisations were discussed and iterated on through two focus groups with a group of three interaction and communication designers. The study allowed to elicit visual gesture representations which may be useful to inspire and inform interaction designers and suggests that, if representations are aesthetically appealing to designers, they will be encouraged to spend time understanding complex data.

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Notes

  1. 1.

    https://www.eurofound.europa.eu/topic/job-quality.

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Acknowledgments

Project OPERATOR (NORTE-01-0247-FEDER-045910) leading to this work is co-financed by the ERDF - European Regional Development Fund through the North Portugal Regional Operational Program and Lisbon Regional Operational Program and by the Portuguese Foundation for Science and Technology, under the MIT Portugal Program (2019 Open Call for Flagship projects).

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Correspondence to Ana Correia de Barros .

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Correia de Barros, A., Dantas, C., Ricaldoni, F. (2021). A Gesture Elicitation Study to Generate Interaction Design Insights for Self-reporting of Mental and Body States Using a Portable Device. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_109

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  • DOI: https://doi.org/10.1007/978-3-030-80829-7_109

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