ICDSST 2020 in Zaragoza, Spain, 27-29.05.2020 r.

The role that the human factor will play in the future of DSS and the technologies required to respond to the new challenges and demands of the Knowledge Society has been  the main aim of this Conference.“Cognitive Decision Support Systems & Technologies” Building the future of Decision Support Systems:
the power of the mind in the cognitive processes

 Following on from the issues considered at ICDSST2019 (Decision Support Systems – Main Developments and Future Trends), ICDSST2020 will consider the role that the human factor will play in the future of DSS and the technologies (tools and knowledge) required to respond to the new challenges and demands of the Knowledge Society.

The Knowledge Society can be defined as a space for the talent, imagination and creativity of human beings. It has two fundamental characteristics: the development of Information and Communications Technologies (ICTs) and the relevance of the human factor.

Information technologies focus on the utilisation of large scale databases in order to identify patterns of behaviour and create tools that can exploit them. Communication technologies support the interaction and collaboration of the actors that participate in the resolution of problems.

The human factor is a key element of the Knowledge Society and when we speak of its ‘relevance’ we refer to its influence in the consideration of a ‘new’ scientific method that allows decisional processes to incorporate the subjective, intangible and emotional aspects, associated with the human factor, in conjunction with the objective, tangible and rational aspects that are associated with traditional scientific methodology.

As with other living systems, the life process of the human being is a cognitive process; only species that learn and adapt to their context are able to survive. This is why traditional scientific methodology must be adapted to the new cognitive orientation inherent in the Knowledge Society. The cognitive orientation focuses on the continuous training  and learning of individuals (and the systems in which they are immersed) in the key aspect of being human: the ability to make decisions.

The scientific support for this new orientation must be through the development of technologies (tools and knowledge) that facilitate continuous training, in other words, the extraction and diffusion of the knowledge derived from the scientific resolution of problems; linking this knowledge to the arguments that support the different positions and decisions and to the technologies utilised for extraction and diffusion.

In addition to the consideration of the more traditional issues of our field, the ICDSST2020, under the title of “Cognitive Decision Support Systems and Technologies”, will concentrate on the development of technologies (tools and knowledge) that support the relevance of the human factor and the cognitive orientation in decision making.

Na konferencji wygłoszono  referat zespołu naukowego skupionego wokół projektu naukowego:

• Gregory Kersten, University of Concordia,Ewa Roszkowska, Uniwersytet w Białymstoku, Tomasz Wachowicz, Uniwersytet Ekonomiczny w Katowicach, Decision Aids’ Users: Motivation and Its Implication  

Abstract: Thorough preparation for the negotiations is considered critical for the achievement of successful relational and substantive results. Careful specification of the preferences is one of the most important preparation activities. To facilitate this process preference elicitation aids have been designed and implemented in decision and negotiation support systems. This paper shows that users’ intrinsic motivation affects the use of simple elicitation aid and elicited preferences. The hierarchical model of motivation identifies ten kinds of motivations. Using the logistic regression model we identify those motivations that allow distinguishing negotiators who do not make errors from those who make them. Three kinds of motivation have a significant impact on the negotiators’ classification. For the remaining kinds of motivation, the impact is significant only jointly with another kind. The study shows that the users’ interest in learning is a significant direct and indirect motivator. Therefore, an impartation of the learning aspect of an experiment may have a positive effect in experiments in which DSS and NSS are used.

 Publikacja dostępna jest pod linkiem:

https://icdsst2020.files.wordpress.com/2018/09/icdsst2020_final_program.pdf