‘I Don’t Need a Goal’: Attitudes and Practices in Fitness Tracking beyond WEIRD User Groups-Reference-Cited by-同舟云学术

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‘I Don’t Need a Goal’: Attitudes and Practices in Fitness Tracking beyond WEIRD User Groups

Published:2021-09-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction
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Author:

Niess Jasmin¹,Woźniak Paweł W.²,Abdelrahman Yomna³,ElAgroudy Passant⁴,Abdrabou Yasmeen³,Eckerth Caroline⁵,Diefenbach Sarah⁵,Knaving Kristina⁶

Affiliation:

1. University of Bremen, Germany and University of St. Gallen, Switzerland

2. Utrecht University, the Netherlands and Chalmers University of Technology, Sweden

3. Bundeswehr University Munich, Germany

4. LMU Munich, Germany and VIS University of Stuttgart, Germany

5. LMU Munich, Germany

6. RISE Research Institutes of Sweden, Sweden

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447526.3472062

Reference65 articles.

1. Staying the Course

2. Identifying and Measuring Cultural Differences in Cross-Cultural User-Interface Design

3. Flexible and Mindful Self-Tracking

4. Cultural Variations in Personal Space: Theory, Methods, and Evidence

5. Functions of Code Switching in Egypt

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1. From Metrics to Experiences: Investigating How Sport Data Shapes the Social Context, Self-Determination and Motivation of Athletes;Interacting with Computers;2024-05-14

2. Socioeconomic Class in Physical Activity Wearables Research and Design;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Tracking During Ramadan: Examining the Intersection of Menstrual and Religious Tracking Practices Among Muslim Women in the United States;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Is it just a score? Understanding Training Load Management Practices Beyond Sports Tracking;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data Interpretation;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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