Workshop on Algorithmic Behavior Change Support

Journal Article (2024)
Author(s)

Nele Albers (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Amal Abdulrahman (Macquarie University, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Deborah Richards (Macquarie University)

Caroline Figueroa (TU Delft - Technology, Policy and Management)

Bibhas Chakraborty (Duke University, National University of Singapore)

Ananya Bhattacharjee (University of Toronto)

Linwei He (Tilburg University)

Mark A. Neerincx (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Willem-Paul Brinkman (TU Delft - Electrical Engineering, Mathematics and Computer Science)

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Research Group
Interactive Intelligence
URL related publication
https://ceur-ws.org/Vol-3728/preface1.pdf Final published version
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Publication Year
2024
Language
English
Research Group
Interactive Intelligence
Volume number
3728
Pages (from-to)
1-7
Event
19th International Conference on Persuasive Technology, Adjunct Proceedings<br/>co-located with PERSUASIVE 2024 (2024-04-10 - 2024-04-12), Wollongong, Australia
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Abstract

To increase the effectiveness of behavior change applications, a large variety of algorithms has been developed to adapt what the applications offer, when, how, and with whom. Given the multitude of challenges related to the concept of algorithmic behavior change support, its development, evaluation, and impact on behavior change, this workshop aims to strengthen the community of people with diverse backgrounds (e.g., computer science, psychology, human-computer interaction) and roles in behavior change support (e.g., researcher, designer, practitioner). Combining keynotes of leading researchers with sessions in which individual workshop participants present their work and discuss problems with the audience, the workshop encouraged a lively exchange of ideas that benefits current and future research on algorithmic behavior change support.