Data Agents: Promoting Reflection through Meaningful Representations of Personal Data in Everyday Life

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKaryda, Mariaen_US
dc.contributor.authorMekler, Elisaen_US
dc.contributor.authorLucero, Andresen_US
dc.contributor.departmentDepartment of Designen_US
dc.contributor.departmentProf. Mekler Elisaen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.departmentDepartment of Mediaen
dc.date.accessioned2021-11-04T05:05:50Z
dc.date.available2021-11-04T05:05:50Z
dc.date.issued2021-05-06en_US
dc.description.abstractVisual and physical representations of historical personal data have been discussed as artifacts that can lead to self-reflection through meaning-making. However, it is yet unclear how those two concepts relate to each other. We focus on meaningfulness, a part of meaning-making that relates to feelings. In this paper, we present three projects where mundane objects, our data agents, are combined in meaningful ways with personal data with the aim to trigger reflection by placing a person's individual experience of data in relation to others'. To identify relationships between self-reflection and meaningfulness we use Fleck and Fitzpatrick's framework to describe the levels of reflection that we found in our projects and Mekler and Hornbæk's meaning framework to define the depth of reflection. We conclude with a discussion on four themes in which we outline how data agents informed the intersections between our central concepts. This paper constitutes a first step towards unpacking those relationships and invites for further explorations by the HCI community.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKaryda , M , Mekler , E & Lucero , A 2021 , Data Agents: Promoting Reflection through Meaningful Representations of Personal Data in Everyday Life . in CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. : Making Waves, Combining Strengths . ACM , ACM SIGCHI Annual Conference on Human Factors in Computing Systems , Yokohama , Japan , 08/05/2021 . https://doi.org/10.1145/3411764.3445112en
dc.identifier.doi10.1145/3411764.3445112en_US
dc.identifier.isbn9781450380966
dc.identifier.otherPURE UUID: c1fc7853-54b3-49c5-b8d7-b738ac7dcad4en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/c1fc7853-54b3-49c5-b8d7-b738ac7dcad4en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85106720279&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/69473441/Data_Agents.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/110838
dc.identifier.urnURN:NBN:fi:aalto-2021110410011
dc.language.isoenen
dc.relation.ispartofACM SIGCHI Annual Conference on Human Factors in Computing Systemsen
dc.relation.ispartofseriesCHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.en
dc.rightsopenAccessen
dc.titleData Agents: Promoting Reflection through Meaningful Representations of Personal Data in Everyday Lifeen
dc.typeConference article in proceedingsfi
dc.type.versionpublishedVersion
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