Record link: 
http://hdl.handle.net/20.500.12708/226268
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Title: 
Beyond Quantitative Goals: Design for Qualitative Goals and their Quantitative Subgoals
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Citation: 
Sas, C., Lolla, S., Agapie, E., Niess, J., Woźniak, P. W., & Gouveia, R. (2025). Beyond Quantitative Goals: Design for Qualitative Goals and their Quantitative Subgoals. In BCS HCI ’25: Proceedings of the 38th International BCS Human-Computer Interaction Conference (pp. 32–37). https://doi.org/10.14236/ewic/BCSHCI2025.5
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Publisher DOI: 
10.14236/ewic/BCSHCI2025.5
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Sas, Corina 
Lolla, Sruzan 
Agapie, Elena 
Niess, Jasmin 
Woźniak, Paweł W. 
Gouveia, Rúben 
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Organisational Unit: 
E193-05 - Forschungsbereich Human Computer Interaction 
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Published in: 
BCS HCI '25: Proceedings of the 38th International BCS Human-Computer Interaction Conference 
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Date (published): 
Nov-2025
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Event name: 
38th International BCS Human-Computer Interaction Conference 
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Event date: 
9-Nov-2025 - 11-Nov-2025
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Event place: 
Cardiff, United Kingdom of Great Britain and Northern Ireland (the)
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Number of Pages: 
6
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Peer reviewed: 
Yes
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Keywords: 
Effective interventions; Goal domains; Goals; Qualitative goals; Quantitative goals; Social goals
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Abstract: 
Goals, as key aspects of users’ motivation, have been much explored in personal informatics and behaviour change, albeit with an emphasis on single-domain, individual, and quantitative goals with limited account for users’ intrinsic motivation. This half-day workshop aims to address these gaps through six underexplored themes focusing on (i) designing for qualitative goals, (ii) extending the measurement of quantitative goals beyond behavioural measures, (iii) accounting for and supporting users’ intrinsic motivation, (iv) critical approach to goal setting, (v) supporting multiple-domain goals and social goals, and (vi) addressing the theoretical gap of technologies for behaviour change and their interventions.
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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