The workshop aims to discuss open problems, challenges, and innovative research approaches in the area of persuasive and behavior change recommender systems, that is, recommender systems aimed at modifying people’s habits and behavior. Some questions that motivate this workshop are: What kind of theory is more suitable to inform the design of behavior change recommender systems? What kind of personal data (e.g., coming from environmental sensors, wearable devices, etc.) should we use to design behavior change recommendations? How should we deliver them (i.e., what kind of communication channels and interfaces should we use)? What kind of strategies should we implement to design timely and contextualized recommendations? How can we support the user’s motivation to adhere to the recommendations provided? How can we “persuade” users in the long term?

BehavRec: Workshop on Recommendations for Behavior Change

Rapp A.
First
;
Cena F.;Vassileva J.;
2023-01-01

Abstract

The workshop aims to discuss open problems, challenges, and innovative research approaches in the area of persuasive and behavior change recommender systems, that is, recommender systems aimed at modifying people’s habits and behavior. Some questions that motivate this workshop are: What kind of theory is more suitable to inform the design of behavior change recommender systems? What kind of personal data (e.g., coming from environmental sensors, wearable devices, etc.) should we use to design behavior change recommendations? How should we deliver them (i.e., what kind of communication channels and interfaces should we use)? What kind of strategies should we implement to design timely and contextualized recommendations? How can we support the user’s motivation to adhere to the recommendations provided? How can we “persuade” users in the long term?
2023
ACM Conference on Recommender Systems (RecSys '23)
Singapore
18-22 Settembre
Proceedings ACM Conference on Recommender Systems (RecSys '23)
ACM
1231
1233
9798400702419
Recommender systems, Behavior change, Persuasive technologies
Rapp A.; Cena F.; Trattner C.; Orji R.; Vassileva J.; Starke A.
File in questo prodotto:
File Dimensione Formato  
2023-Recsys.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 411.4 kB
Formato Adobe PDF
411.4 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1947178
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact