Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI)


Decision support systems are applied in different fields to support individuals and groups, as well as to influence human behaviour and decision-making. Decision Support Systems are expected to facilitate decision-making while enhancing the quality of that decision, as well as Recommender Systems are expected to facilitate the choice process to maximize the user satisfaction. In decision support and recommendation for groups, it is important to consider the heterogeneity and conflicting preferences of its participants. In addition, decision support and recommendation systems must have strategies for configuring preferences and acquiring user profiles in a nonintrusive (implicit) and time-consuming manner.

On the other hand, the acceptance and effectiveness of the hints and recommendations provided by the system depends on several factors. First, they must be appropriate for the objectives and profile of the user, but also, they must be understandable and supported by evidence (the user must understand why the recommendation is provided and why it is good for him/her). Thus, it is necessary to provide these systems with a mechanism that supports suggestions by means of artificial intelligence. In this way, computational argumentation is a technique that builds upon the natural way humans provide reasons (i.e., arguments) for which a recommendation is suggested and should be accepted. Therefore, a system that uses these technologies must be persuasive to obtain the desired results by influencing human behaviour.

In this workshop, we will explore the links between decision-support, recommendation, and persuasion to discuss strategies to facilitate the decision/choice process by individuals and groups. This workshop aims to be a discussion forum on the latest trends and ongoing challenges in the application of artificial intelligence technologies in this area.


Topics that could be relevant for this workshop include specially applications, but also theoretical approaches, based on:

  • Decision Support Systems (DSS), Group Decision Support Systems (GDSS), and Recommender Systems (RS)
  • Multi-Criteria Decision Analysis
  • Context-Aware Recommendation
  • Cognitive and Affective Aspects in Decision-Making and Recommendations (Emotions, Personality, Mood, Motivations, among others)
  • Argumentation and Persuasion
  • Natural Language Processing, Argument Mining
  • Machine Learning and Deep Learning algorithms in DSS/GDSS and RS
  • Cognition and persuasive technology
  • Human-Computer Interaction in persuasive technology
  • Expert Systems, Knowledge-based Systems and Information Systems
  • Knowledge Representation
  • User Modelling
  • Interdisciplinary applications: Online trading, e-Health and Well-being, Industry, Tourism and Leisure, Assisted learning environments, Sustainability, Energy efficiency, Smart Cities and Dynamic Environments in General.

Organizing Committee

  • Jaume Jordán, Universitat Politècnica de València, Spain
  • João Carneiro, Polytechnic of Porto, Portugal
  • Goreti Marreiros, Polytechnic of Porto, Portugal
  • Stella Heras, Universitat Politècnica de València, Spain

Program Committee

  • Patrícia Alves, Polytechnic of Porto, Portugal
  • Andreas Brännström, Umeå University, Sweden
  • Carlos Carrascosa, Universitat Politècnica de València, Spain
  • Vicente Julián, Universitat Politècnica de València, Spain
  • Diogo Martinho, Polytechnic of Porto, Portugal
  • Jorge Meira, Polytechnic of Porto, Portugal
  • Juan Carlos Nieves, Umeå University, Sweden
  • Paulo Novais, Universidade do Minho, Portugal
  • Víctor Sánchez-Anguix, Universitat Politècnica de València, Spain
  • Ichiro Satoh, National Institute of Informatics Tokyo, Japan
  • Luis conceição, Polytechnic of Porto, Portugal
  • Bogdan Okresa, University of Zagreb, Croatia
  • Pasqual Martí, Universitat Politècnica de València, Spain


Dr. João Carneiro
Auxiliary Researcher
Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD)
Institute of Engineering, Polytechnic of Porto, Portugal

Dr. Jaume Jordán 
Postdoc Researcher
Valencian Research Institute for Artificial Intelligence (VRAIN)
Department of Computer Systems and Computation
Universitat Politècnica de Valencia, Spain

General deadlines

  • General deadline

    15th March, 2024
    5th April, 2024
    12th April, 2024

  • Demonstrations deadline

    22nd March, 2024
    12th April, 2024
    26th April, 2024

  • Notification of acceptance

    26th April, 2024
    3rd May, 2024
    10th May, 2024

  • Camera-Ready papers

    17th May, 2024
    24th May, 2024

  • Conference Celebration

    26th-28th June, 2024


All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system.