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 proceedingConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationCHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems.
Subtitle of host publicationMaking Waves, Combining Strengths
PublisherACM
ISBN (Electronic)9781450380966
DOIs
Publication statusPublished - 6 May 2021
MoE publication typeA4 Article in a conference publication
EventACM SIGCHI Annual Conference on Human Factors in Computing Systems - Virtual, Online
Duration: 8 May 202113 May 2021
https://chi2021.acm.org/

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI
CityVirtual, Online
Period08/05/202113/05/2021
Internet address

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