University of Twente Student Theses

Login
As of Friday, 8 August 2025, the current Student Theses repository is no longer available for thesis uploads. A new Student Theses repository will be available starting Friday, 15 August 2025.

Rethinking Subjective Metrics in Self-Tracking Systems for Running

Mensvoort, W.S.H van (2025) Rethinking Subjective Metrics in Self-Tracking Systems for Running.

[img] PDF
3MB
Abstract:Self-tracking technology in sports primarily focuses on performance enhancement and goal completion. While this approach can improve performance, it may also negatively impact how athletes experience their sport. We highlight the lack of subjective metrics in self-tracking technology and their potential to enhance the Sport-Data Experience (SDX). To address this, we explored opportunities to enhance the SDX and identified interoceptive awareness as an area to focus on. Next, we selected a suitable subjective metric designed to help increase this awareness and used it to develop an intervention, which we implemented within a smartwatch-based self-tracking application for use during running. Finally, we evaluated this intervention using a mixed-methods evaluation involving 21 participants in which we compared a baseline group with the intervention group. Results show a statistically significant increase in interoceptive awareness in the intervention group (r = .44), supported by qualitative think-aloud and interview data. These findings demonstrate that subjective metrics can meaningfully improve runners' engagement with their bodily sensations and suggest design opportunities for more reflective and personalised self-tracking tools.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general, 54 computer science
Programme:Interaction Technology MSc (60030)
Link to this item:https://purl.utwente.nl/essays/107134
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page