Changing behaviours via self-tracking. Exploring the effect of psychological differences on system evaluations
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
Auditorium IT 115, Linnanmaa Campus, remote link: https://oulu.zoom.us/j/63420484634
Topic of the dissertation
Changing behaviours via self-tracking. Exploring the effect of psychological differences on system evaluations
Doctoral candidate
Master of Science Kirsi Halttu
Faculty and unit
University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Oulu Advanced Research on Service and Information Systems (OASIS)
Subject of study
Information processing science
Opponent
Professor Gaëlle Calvary, Institute of Engineering and Management of Université Grenoble Alpes
Custos
Professor Harri Oinas-Kukkonen, University of Oulu
Self-tracking as a tool to change health related behaviours. User evaluations of commercial systems.
The thesis explores subjective evaluations of self-tracking system users using a survey method. It aims to understand how the users experience the features of their self-selected systems, for example, credibility, goal achievement and dialogue with the system. These evaluations were analyzed using a few different angles, such as psychological characteristics of the users or social influence strategies. Features were analyzed also in terms of behaviour change theories.
Findings suggest that characteristics of the system users are affecting both the system selection and how they experience the system. The thesis derived design guidelines based on identified insights to help system designers to acknowledge the differences in users characteristics and to improve the effectiveness of behaviour change supporting features.
Findings suggest that characteristics of the system users are affecting both the system selection and how they experience the system. The thesis derived design guidelines based on identified insights to help system designers to acknowledge the differences in users characteristics and to improve the effectiveness of behaviour change supporting features.
Last updated: 1.3.2023