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Revisiting personal information management through information practices with activity tracking technology.
- Source :
- Journal of the Association for Information Science & Technology; Dec2019, Vol. 70 Issue 12, p1352-1367, 16p, 3 Black and White Photographs, 2 Charts, 1 Graph
- Publication Year :
- 2019
-
Abstract
- Personal information management (PIM) is an interdisciplinary research area with established theoretical foundations from information science and applied empirical research from human‐computer interaction (HCI). The increasingly popular activity tracking technology (ATT) has given rise to a new type of personal information about one's daily physical activities, which has not been scrutinized under theoretical frameworks in PIM. This article presents an in‐depth qualitative interview study supplemented by participant‐driven photo elicitation with 20 long‐term activity tracker users about how they manage personal information generated by ATT. Key findings include the identification of two distinctive user groups (i.e., consistent casual users and powers users) among long‐term activity tracker users and an in‐depth portrayal of these groups' PIM behaviors with ATT. These behaviors include concurrent and subsequent PIM practices, 6 types of PIM activities, and the use of a spectrum of PIM tools. This research provides timely theoretical updates to PIM under the background of self‐tracking technologies, outlines empirical implications to improve ATT in support of PIM, and offers recommendations for incorporating participant‐driven photo elicitation as a supplementary method for qualitative interviews in information behavior research. [ABSTRACT FROM AUTHOR]
- Subjects :
- CONCEPTUAL structures
INFORMATION resources management
INFORMATION science
INTERVIEWING
RESEARCH methodology
PHOTOGRAPHY
STATISTICAL sampling
USER interfaces
WEARABLE technology
QUALITATIVE research
JUDGMENT sampling
EMPIRICAL research
INFORMATION-seeking behavior
THEMATIC analysis
BEHAVIORAL research
PHYSICAL activity
MOBILE apps
PHYSICAL fitness mobile apps
Subjects
Details
- Language :
- English
- ISSN :
- 23301635
- Volume :
- 70
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Journal of the Association for Information Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 139430457
- Full Text :
- https://doi.org/10.1002/asi.24253