Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement

Spence, Jocelyn; Darzentas, Dimitrios; Cameron, Harriet; Huang, Yitong; Adams, Matt; Farr, Ju Row; Tandavanitj, Nick; Benford, Steve

Abstract

HCI has recently increased its interest in the domains of museums and gifting. The former is often oriented primarily towards the past, while the latter is often oriented towards the future, in terms of anticipating the receiver’s reactions. Our article provides a sustained and well-evidenced new theoretical framework on the role of time-orientation on the design of forward-oriented (gifting) experiences in past-oriented (museum) settings. This Temporal Experience Design Framework develops from the analysis of two such studies, one smartphone app and one VR experience using passive haptics. Both interventions prompted the user to reflect on the past while planning a gift or donation for future consumption. We apply a novel combination of analyses to both projects using the lenses of conversational storytelling, performance, and human geography. Our analyses reveal the power of orienting users towards the past and the future–simultaneously–to enhance the present moment of a performative engagement. Our aim is to provide a conceptual framework that can help design researchers to identify, name, and understand how time-orientation can be used to enhance user and visitor experience. We also extrapolate design guidelines that we expect may be fruitful outside these contexts.

Citation

Spence, J., Darzentas, D., Cameron, H., Huang, Y., Adams, M., Farr, J. R., …Benford, S. (2022). Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement. Human-Computer Interaction, 37(2), 180-210. https://doi.org/10.1080/07370024.2021.1923496

• Journal Article Type: Article
• Acceptance Date: Jul 10, 2021
• Online Publication Date: Jul 10, 2021
• Publication Date: 2022
• Deposit Date: Jan 4, 2022
• Publicly Available Date: Jul 11, 2022
• Journal: Human-Computer Interaction
• Print ISSN: 0737-0024
• Electronic ISSN: 1532-7051
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 37
• Issue: 2
• Pages: 180-210
• DOI: https://doi.org/10.1080/07370024.2021.1923496
• Keywords: Applied Psychology; Human-Computer Interaction
• Public URL: https://nottingham-repository.worktribe.com/output/5769314
• Publisher URL: https://www.tandfonline.com/doi/full/10.1080/07370024.2021.1923496
• Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Human-Computer Interaction on 10 Jul 2021, available online: http://www.tandfonline.com/10.1080/07370024.2021.1923496