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

Maria Karyda; Elisa Mekler; Andres Lucero

doi:10.1145/3411764.3445112

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

Maria Karyda^*, Elisa Mekler, Andres Lucero

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

47 Downloads (Pure)

Abstract

Visual 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.

Original language	English
Title of host publication	CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.
Subtitle of host publication	Making Waves, Combining Strengths
Publisher	ACM
ISBN (Electronic)	9781450380966
DOIs	https://doi.org/10.1145/3411764.3445112
Publication status	Published - 6 May 2021
MoE publication type	A4 Article in a conference publication
Event	ACM SIGCHI Annual Conference on Human Factors in Computing Systems - Virtual, Online, Yokohama, Japan Duration: 8 May 2021 → 13 May 2021 https://chi2021.acm.org/

Conference

Conference	ACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated title	ACM CHI
Country/Territory	Japan
City	Yokohama
Period	08/05/2021 → 13/05/2021
Internet address	https://chi2021.acm.org/

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Data AgentsFinal published version, 4.87 MBLicence: CC BY-NC-SA

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title = "Data Agents: Promoting Reflection through Meaningful Representations of Personal Data in Everyday Life",

abstract = "Visual 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 Hornb{\ae}k'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.",

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Karyda, 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/10.1145/3411764.3445112

Data Agents: Promoting Reflection through Meaningful Representations of Personal Data in Everyday Life. / Karyda, Maria; Mekler, Elisa; Lucero, Andres.

CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.: Making Waves, Combining Strengths. ACM, 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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

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