Investigating Slowness as a Frame to Design Longer-Term Experiences with Personal Data: A Field Study of Olly

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Generative AI (Text, Image, Music, Video)Creative Collaboration & Feedback SystemsContent Creators (YouTubers, Podcasters)Musicians, DJs & Sound Designers

We describe the design and deployment of Olly, a domestic music player that enables people to re-experience digital music they listened to in the past. Olly uses its owner's Last.FM listening history metadata archive to occasionally select a song from their past, but offers no user control over what is selected or when. We deployed Olly in 3 homes for 15 months to explore how its slow pace might support experiences of reflection and reminiscence. Findings revealed that Olly became highly integrated in participants lives with sustained engagement over time. They drew on Olly to reflect on past life experiences and reactions indicated an increase in perceived value of their Last.FM archive. Olly also provoked reflections on the temporalities of personal data and technology. Findings are interpreted to present opportunities for future HCI research and practice.

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https://hci.top/en/papers/chi/4086/2019

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Source
CHI
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Year
2019
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Best Paper
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Authors
7 authors
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Subtopics
Generative AI (Text, Image, Music, Video), Creative Collaboration & Feedback Systems
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Professions
Content Creators (YouTubers, Podcasters), Musicians, DJs & Sound Designers
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Abstract only
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