Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data Interpretation
Paper i proceeding, 2024

While fitness trackers generate and present quantitative data, past research suggests that users often conceptualise their wellbeing in qualitative terms. This discrepancy between numeric data and personal wellbeing perception may limit the effectiveness of personal informatics tools in encouraging meaningful engagement with one's wellbeing. In this work, we aim to bridge the gap between raw numeric metrics and users' qualitative perceptions of wellbeing. In an online survey with n = 273 participants, we used step data from fitness trackers and compared three presentation formats: standard charts, qualitative descriptions generated by an LLM (Large Language Model), and a combination of both. Our findings reveal that users experienced more reflection, focused attention and reward when presented with the generated qualitative data compared to the standard charts alone. Our work demonstrates how automatically generated data descriptions can effectively complement numeric fitness data, fostering a richer, more reflective engagement with personal wellbeing information.

personal informatics

generative AI


fitness trackers


Konstantin R. Strömel

Universität Osnabrück

Stanislas Henry

Ecole Nationale Superieure d'Electronique, Informatique et Radiocommunications de Bordeaux

Tim Johansson

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Jasmin Niess

Universitetet i Oslo

Paweł W. Woźniak

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Technische Universität Wien

Conference on Human Factors in Computing Systems - Proceedings

9798400703300 (ISBN)

2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
Hybrid, Honolulu, USA,

PAPACUI: Färdighetsbaserad anpassning i interaktiva system för fysisk aktivitet

Vetenskapsrådet (VR) (2022-03196), 2023-01-01 -- 2026-12-31.


Människa-datorinteraktion (interaktionsdesign)



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