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

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

Program Committee

  • Grzegorz J. Nalepa, AGH University of Science and Technology, Poland
  • Vicente Julián, Universitat Politècnica de València, Spain
  • Víctor Sánchez-Anguix, Universitat Politècnica de València, Spain
  • Juan Carlos Nieves, Umeå University, Sweden
  • Paulo Novais, Universidade do Minho, Portugal
  • Carlos Carrascosa, Universitat Politècnica de València, Spain
  • Javier Palanca, Universitat Politècnica de València, Spain
  • Andrés Muñoz, Universidad Católica de Murcia, Spain
  • Ângelo Costa, Universidade do Minho, Portugal
  • Paula Andrea Rodríguez Marín, Instituto Tecnológico Metropolitano Medellín, Colombia
  • Floriana Grasso, University of Liverpool, UK
  • Tiago Oliveira, Tokyo Medical and Dental University, Japan
  • Patrícia Alves, Polytechnic of Porto, Portugal
  • Peter Mikulecky, University of Hradec Kralove, Czech Republic
  • Eva Hudlicka, Psychometrix Associates Blacksburg, USA
  • Boon Kiat-Quek, National University of Singapore, Singapore
  • Florentino Fdez-Riverola, University of Vigo, Spain
  • Hoon Ko, Chosun University, South Korea
  • Guillaume Lopez, Aoyama Gakuin University, College of Science and Technology, Japan
  • Ichiro Satoh, National Institute of Informatics Tokyo, Japan


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