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

Visual and physical representations of historical personal data have been discussed as artifacts that can lead to self-refection through meaning-making. However, it is yet unclear how those two concepts relate to each other. We focus on meaningfulness, a part of meaningmaking 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 refection by placing a person's individual experience of data in relation to others'. To identify relationships between self-refection and meaningfulness we use Fleck and Fitzpatrick's framework to describe the levels of refection that we found in our projects and Mekler and Hornbæk's meaning framework to defne the depth of refection. 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 frst step towards unpacking those relationships and invites for further explorations by the HCI community.

• Human-centered computing → Empirical studies in HCI .