<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"> <head> <meta http-equiv="Content-Type" content="text/html; charset=us-ascii"> <meta name="Generator" content="Microsoft Word 15 (filtered medium)"> <style></style> </head> <body lang="EN-AU" link="#467886" vlink="#96607D" style="word-wrap:break-word"> <div class="WordSection1"> <a name="_Hlk156207847">CALL FOR CONTRIBUTIONS</a> <o:p></o:p> Workshop on Algorithmic Behavior Change Support (ALBECS-2024) <o:p></o:p> Co-located with the 19th International Conference on Persuasive Technology 2024 <o:p></o:p> Wollongong, Australia <o:p></o:p> Workshop: April 10th, 2024<o:p></o:p> Conference: April 11th – 12th, 2024 <o:p></o:p> Workshop website: <a href="https://albecs-workshop.github.io/">https://albecs-workshop.github.io/</a><o:p></o:p> ---------------------------------------------------------------------------------------------------<o:p></o:p> IMPORTANT DATES<o:p></o:p> <ul type="disc"> <li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1"> Submission deadline: 22nd February 2024 <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1"> Notification deadline: 29th February 2024 <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1"> Camera Ready: 3rd April 2024 <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1"> Workshop: 10th April 2024 <o:p></o:p></li></ul> SCOPE<o:p></o:p> Working out more, reducing food waste, being kinder to others, ... - there are many behaviors people wish to change. Yet, while many behavior change applications have been developed to support people, users commonly do not adhere to these applications or abandon them entirely. To address the evident mismatch between what the applications offer and what users need, a variety of algorithmic approaches has been developed to adapt what the applications offer, when, how, and with whom. The term "algorithm" or "algorithmic approach" is thereby meant broadly to capture any computerized procedure for adapting behavior change support. These algorithmic approaches thereby draw from insights in areas such as nudging, persuasive technology, eCoaches, and conversational agents and use various algorithmic techniques from recommender systems to machine and reinforcement learning. Placing the human at the center and combining the strengths of humans and technology (i.e., augmented or hybrid intelligence) often is an important design guideline, as is accounting for ethical and societal values.<o:p></o:p> This workshop brings together researchers, designers, developers, practitioners, and educators who are interested in the concept, development, evaluation, and impact of algorithmic behavior change support. Thus, while the Persuasive Technology conference considers all forms of technology, the focus of this workshop is on algorithms (e.g., based on logistic regression, reinforcement learning, recommender systems) that support behavior change. We are thereby interested in algorithms at both the macro level (i.e., which are part of behavior change applications) and the micro level (i.e., which support forms of behavior change as part of a technology that has a goal other than behavior change). We explicitly invite participants from various backgrounds such as artificial intelligence, human-computer interaction, psychology, medical practice, and ethics of technology to contribute their perspectives and experiences.<o:p></o:p> The broader objective of this workshop is to strengthen the community of people working on adaptive support for behavior change. To this end, the workshop aims to create a lively exchange of ideas that benefits both the current and future research of the individual workshop participants. Specifically, the workshop's aim is to a) learn about each other's work, b) jointly work on problems of the workshop participants, and c) establish a vision for future work on algorithmic behavior change support. <o:p></o:p> TOPICS<o:p></o:p> Below is a non-exhaustive list of possible topics in the context of algorithms for adaptive behavior change support:<o:p></o:p> <ul type="disc"> <li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2"> Methods and guidelines that can be used when designing algorithms (e.g., accounting for ethical and societal values, augmented or hybrid intelligence) <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2"> Novel algorithms <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2"> Application of algorithms in behavior change contexts (e.g., education, health, sustainability) <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2"> FAIR implementation of algorithms <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2"> Evaluation methods for algorithms (e.g., micro-randomized trials) <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2"> Effectiveness of (components of) algorithms in simulated, experimental, or in-the-wild settings <o:p></o:p></li></ul> If you are unsure whether your topic fits the scope of the workshop, please do not hesitate to ask us.<o:p></o:p> SUBMISSION<o:p></o:p> Submissions to this workshop are in the form of papers describing both the authors' work and a problem that they would like to work on together with the other workshop participants. Working with other workshop participants on one's own problem is a unique opportunity to get input from a large number of experts. Examples include:<o:p></o:p> <ul type="disc"> <li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Questionnaire creation -> creating question formulations in small groups, discussing if questions measure intended constructs <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Study design -> getting feedback on one's draft experimental design for evaluating an algorithm <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Instructions for study -> letting workshop participants follow an initial instruction set to see where they get stuck, which things are unclear, or which results they would get <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Applying design guidelines -> after having developed design guidelines, asking workshop participants how they would apply the guidelines to their own research or how they (dis)agree with the guidelines <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Algorithm design -> based on an initial algorithm idea, asking workshop participants for important concepts or guidelines to account for when further developing or implementing the algorithm <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Confirming guidelines for algorithm design -> based on an initial set of guidelines one wants to use for one's algorithm design, asking workshop participants how they (dis)agree with these guidelines to establish community agreement <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Establishing codes for a thematic analysis -> based on free-text responses providing feedback on an algorithm used in a previous study, asking workshop participants to in small groups come up with codes describing the concerns of study participants <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3"> Establishing themes for a thematic analysis -> based on codes describing the concerns of study participants about an algorithm, asking workshop participants to discuss possible themes <o:p></o:p></li></ul> The authors should clearly describe how they think that working on their problem with the workshop participants could benefit their work.<o:p></o:p> Upon acceptance, at least 1 author should attend the workshop in person and be ready to 1) present their work in a short 7-10 minute presentation and 2) work on their problem with the workshop participants for about 30 minutes. On rejection, you are also welcome to still join our workshop. To attend the workshop, participants must be registered for the workshops/tutorials at Persuasive Technology 2024.<o:p></o:p> All submissions should adhere to either <a href="https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw">the CEUR Workshop Proceedings guidelines</a> or <a href="https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines">the Springer LNCS guidelines</a>. Papers describing the authors' work should be written in English and have either 2-6 (short paper) or 7-12 pages (long paper), excluding references. Workshop proceedings will be published in <a href="https://ceur-ws.org/HOWTOSUBMIT.html">CEUR</a> under Creative Commons License Attribution 4.0 International (CC BY 4.0). This means that the final accepted papers will be published in the CEUR format. In addition to the papers describing the authors' work, the submission should include in an appendix the description of the problem the authors would like to work on together with workshop participants. This description does not count toward the page limit and will not be published.<o:p></o:p> Please anonymize your submission.<o:p></o:p> You can submit through easychair: <a href="https://easychair.org/conferences/?conf=albecs2024" target="_blank">https://easychair.org/conferences/?conf=albecs2024</a>. <o:p></o:p> <o:p></o:p> Sincerely, <o:p></o:p> The ALBECS-2024 organizers <o:p></o:p> Nele Albers, Delft University of Technology<o:p></o:p> Amal Abdulrahman, Delft University of Technology and Macquarie University<o:p></o:p> Deborah Richards, Macquarie University<o:p></o:p> Caroline Figueroa, Delft University of Technology<o:p></o:p> Bibhas Chakraborty, National University of Singapore and Duke University<o:p></o:p> Ananya Bhattacharjee, University of Toronto<o:p></o:p> Linwei He, Tilburg University<o:p></o:p> Mark A. Neerincx, Delft University of Technology and TNO<o:p></o:p> Joseph Jay Williams, University of Toronto<o:p></o:p> Nezih Younsi, Sorbonne University<o:p></o:p> Tibor Bosse, Radboud University<o:p></o:p> Annemiek Linn, University of Amsterdam<o:p></o:p> Crystal Smit, Erasmus University Rotterdam<o:p></o:p> Willem-Paul Brinkman, Delft University of Technology<o:p></o:p> <o:p> </o:p> </div> </body> </html>