- From: amon rapp <amon.rapp@gmail.com>
- Date: Thu, 13 Jul 2023 08:00:00 +0200
- To: semantic-web@w3.org
- Message-ID: <CAGWhwV1nPJbOUxE_rHy6MsorRuQQUxv7aJX10wRZtmme_qCQ8Q@mail.gmail.com>
*** Apologies for cross postings *** *BehavRec Workshop @RecSys 2023 - Call For Papers - *** DEADLINE July, 18 *** ---------------------------------------------------------------------- International Workshop on Behavior Change and Persuasive Recommender Systems co-located with the 17th ACM Conference on Recommender Systems (RecSys ’23) Singapore, 18th-22nd September 2023 Web: https://behavrec.wordpress.com/ Submission site: https://easychair.org/my/conference?conf=behavrec23 For any information: amon.rapp@unito.it ========= ABSTRACT ========= For solving a variety of personal and societal problems, changing human behavior is crucial. Persuasive and behavior change recommender systems are intentionally designed to provide users with suggestions on how to modify their behavior, habits, beliefs and opinions. Research in this area has advanced over the years attracting interest from both practitioners and researchers also due to the increasing availability of personal data, like medical records, physiological parameters, and psychological states, which may enable novel forms of tailored suggestions that can be delivered anywhere at any time, leveraging multiple technologies (e.g., natural language processing) and different devices (e.g., ambient, wearable and mobile devices). The BehavRec workshop aims to provide a forum for discussing open problems and innovative research approaches in this area. Some questions that motivate the workshop are: What kind of data should be used to design “persuasive” recommendations? How should they be delivered? What kind of strategies should be implemented to design timely and contextualized persuasive recommendations? What kind of theories should we rely on to design effective persuasive recommendations? How to support the user’s motivation and help them sustain the desired behavior in the long term? What contextual factors may affect the effectiveness of behavior change recommender systems and should be considered in design? This workshop will deepen the discussion of novel approaches and applications of recommender systems that might want to persuade users into taking beneficial actions in domains as diverse as health and wellness, safety and security, food and environmental sustainability, education and politics. ====== TOPICS ====== Topics of interest include but are not limited to: ∑ RECOMMENDER SYSTEMS – Persuasive and Behavior change recommender systems – Health recommender systems – Food recommender systems – Recommender systems for education – Persuasive conversational recommender systems ∑ USER INTERFACES FOR PERSUASIVE AND BEHAVIOR CHANGE RECOMMENDER SYSTEMS – Visual interfaces – Context-aware interfaces – Ubiquitous, wearable and mobile interfaces – Conversational interfaces ∑ NEW APPROACHES TO DESIGNING AND DELIVERING PERSUASIVE RECOMMENDATIONS – Controllability, transparency, and explainability – Persuasive recommendation (e.g., argumentation-aware recommendation) – Cultural differences (e.g., culture-aware recommendation) – Context-aware recommendation – How to balance the cost and benefit of behavior change recommender systems – Challenges and limitations of implementing behavior change recommender systems ∑ ETHICS, PRIVACY AND THEORIES – Theories of behavior change and persuasion – How to develop ethical and privacy-sensitive behavior change recommender systems – Frameworks and models for developing personalized persuasive technology – Objective and subjective approaches to behavior change recommendations ∑ EVALUATION – Empirical studies and evaluations of recommender systems for behavior change – Evaluation methods and metrics (e.g., evaluation questionnaire design) – Case studies and examples of behavior change recommender systems – Success and failure stories with regard to behavior change recommender systems – Long-term evaluation and evidence of long-term effects of behavior change recommender systems. ============ SUBMISSIONS ============ We accept four kinds of submissions: (A) Regular papers (5-12 pages + references - single-column CEURART style) (B) Position papers, Ongoing projects and Demos (5-8 pages + references - single-column CEURART style); (C) Journal papers (already published - 2 pages including abstract, highlights, and a pointer to the complete paper single-column CEURART style); (D) Manifestations of interest (max 2 pages including a bio of the participant and a brief statement about why they are interest in the workshop) Submission site: https://easychair.org/my/conference?conf=behavrec23 All submitted papers will be evaluated by two members of the program committee, based on originality, significance, relevance, and technical quality. Note that the references do not count toward page limits. Submissions should be single-blinded, i.e. authors’ names should be included in the submissions. We aim to publish all accepted papers, except from the (C-D) submission type in CEUR WS Proceedings, as a joint volume. At least one author of each accepted paper must register for the workshop. The templates and format instructions are available here: https://ceur-ws.org/HOWTOSUBMIT.html ================ IMPORTANT DATES ================ Early submission are strongly encouraged. We adopt a rolling review system: early submissions will be immediately reviewed and the notification will be sent out approximately two weeks after the submission. * Paper submission final deadline: July 18, 2023 (GMT) * Paper notification: August 18, 2023 (GMT) * Camera-ready version deadline: September 10, 2023 ============= ORGANIZATION ============= Amon Rapp University of Torino, Torino, Italy Federica Cena University of Torino, Torino, Italy Christoph Trattner University of Bergen, Norway Rita Orji Dalhousie University, Canada Julita Vassileva University of Saskatchewan, Canada Alain Starke University of Amsterdam, Netherlands
Received on Thursday, 13 July 2023 06:00:29 UTC