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Understanding “influence”: An empirical test of the Data-Frame theory of Sensemaking

Pontis, S; Blandford, AE; (2016) Understanding “influence”: An empirical test of the Data-Frame theory of Sensemaking. Journal of the Association for Information Science and Technology , 67 (4) pp. 841-858. 10.1002/asi.23427. Green open access

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Abstract

This paper reports findings from a study designed to gain broader understanding of sensemaking activities using the Data/Frame Theory (Klein et al., 2007) as the analytical framework. Although this theory is one of the dominant models of sensemaking, it has not been extensively tested with a range of sensemaking tasks. The tasks discussed here focused on making sense of structures rather than processes or narratives. Eleven researchers were asked to construct understanding of how a scientific community in a particular domain is organized (e.g. people, relationships, contributions, factors) by exploring the concept of “influence” in academia. This topic was chosen as, although researchers frequently handle this type of task, it is unlikely that they have explicitly sought this type of information. We conducted a think-aloud study and semi-structured interviews with junior and senior researchers from the Human Computer Interaction domain, asking them to identify current leaders and rising stars, in both HCI and chemistry. Data were coded and analyzed using the Data/Frame Model to both test and extend the model. Three themes emerged from the analysis: novices and experts’ sensemaking activity chains, constructing frames through indicators, and characteristics of structure tasks. We propose extensions to the Data/Frame Model to accommodate structure sensemaking.

Type: Article
Title: Understanding “influence”: An empirical test of the Data-Frame theory of Sensemaking
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/asi.23427
Publisher version: http://dx.doi.org/10.1002/asi.23427
Language: English
Additional information: © 2015 The Authors. Journal of the Association for Information Science and Technology published by Wiley Periodicals, Inc. on behalf of ASIS&T. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Sensemaking, data-frame theory, influence
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1464567
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