Another Step towards the Understanding of Self-Tracking: A Research Model and Pilot Test

被引:0
|
作者
Baumgart, Ruth [1 ]
机构
[1] Goethe Univ Frankfurt, Frankfurt, Germany
来源
AMCIS 2017 PROCEEDINGS | 2017年
关键词
Quantified Self; self-tracking; cognitive dissonance theory; pilot test; COGNITIVE-DISSONANCE; WEIGHT-LOSS; INFORMATION; ATTITUDE; HEALTH; LIFE;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Regular physical activity prevents the development of numerous diseases. Despite this knowledge, approximately 80% of the world's adolescent population leads a sedentary lifestyle. Insurances are trying to facilitate physical activity through supporting the use of self-tracking applications. Although the usefulness of self-tracking is widely presumed, only a few studies investigate the influence of self-tracking on behavior and those few studies have published contradictory results. To provide an explanation for the different reactions, we propose a research model and measurements based on the cognitive dissonance theory. The research model proposes that self-tracking leads to a higher awareness of two inconsistent cognitions. This awareness induces cognitive dissonance. Since cognitive dissonance is experienced as a psychological tension, people try to reduce it by changing their behavior, finding new information or ignoring the situation. We tested our measurements with a pilot test and found good first indicators for construct validity.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Towards the Ontology of Becoming in Self-tracking Research
    Bergroth, Harley
    Vuorinen, Jukka
    HUMAN-COMPUTER INTERACTION. PERSPECTIVES ON DESIGN, HCI 2019, PT I, 2019, 11566 : 270 - 287
  • [2] How Does Self-Tracking Go? A Research Model and Pre-Test
    Baumgart, Ruth
    Holten, Roland
    PROCEEDINGS OF THE 51ST ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2018, : 3189 - 3196
  • [3] Data Sensemaking in Self-Tracking: Towards a New Generation of Self-Tracking Tools
    Coskun, Aykut
    Karahanoglu, Armagan
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2023, 39 (12) : 2339 - 2360
  • [4] Towards a Typology of Self-Tracking Gaps
    Trace, Ciaran B.
    Zhang, Yan
    CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
  • [5] Understanding and Supporting Self-Tracking App Selection
    Lee, Jong Ho
    Schroeder, Jessica
    Epstein, Daniel A.
    PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, 2021, 5 (04):
  • [6] Tracking towards care: Relational affordances of self-tracking in gym culture
    Kristensen, Dorthe Brogard
    Kuruoglu, Alev Pinar
    Banke, Signe
    SOCIOLOGY OF HEALTH & ILLNESS, 2021, 43 (07) : 1598 - 1613
  • [7] Understanding Physical Practices and the Role of Technology in Manual Self-Tracking
    Abtahi, Parastoo
    Ding, Victoria
    Yang, Anna C.
    Bruzzese, Tommy
    Romanos, Alyssa B.
    Murnane, Elizabeth L.
    Follmer, Sean
    Landay, James A.
    PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, 2020, 4 (04):
  • [8] From self-tracking to smart urban infrastructures: Towards an interdisciplinary research agenda on Big Data
    Klauser, Francisco
    Albrechtslund, Anders
    SURVEILLANCE & SOCIETY, 2014, 12 (02) : 273 - 286
  • [9] Rethinking the Test Collection Methodology for Personal Self-tracking Data
    Hopfgartner, Frank
    Gurrin, Cathal
    Joho, Hideo
    MULTIMEDIA MODELING (MMM 2020), PT II, 2020, 11962 : 463 - 474
  • [10] A Model of Socially Sustained Self-Tracking for Food and Diet
    Lu, Xi
    Chen, Yunan
    Epstein, Daniel A.
    Proceedings of the ACM on Human-Computer Interaction, 2021, 5 (CSCW2):