Goreti Marreiros - Academia.edu (original) (raw)

Papers by Goreti Marreiros

Research paper thumbnail of Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets

Advances in Intelligent Systems and Computing, 2017

Currently, it is possible to find various tools to deal with the unpredictability of electricity ... more Currently, it is possible to find various tools to deal with the unpredictability of electricity markets. However, they mainly focus on spot markets, disfavouring bilateral negotiations. A multi-agent decision support tool is proposed that addresses the identified gap, supporting players in the pre-negotiation and actual negotiation phases.

Research paper thumbnail of Semantic Services Catalog for Multiagent Systems Society

Lecture Notes in Computer Science, 2021

Agent-based simulation tools have found many applications in the field of Power and Energy System... more Agent-based simulation tools have found many applications in the field of Power and Energy Systems, as they can model and analyze the complex synergies of dynamic and continuously evolving systems. While some studies have been done w.r.t. simulation and decision support for electricity markets and smart grids, there is still a generalized limitation referring to the significant lack of interoperability between independently developed systems, hindering the task of addressing all the relevant existing interrelationships. This work presents the Semantic Services Catalog (SSC), developed and implemented for the automatic registry, discovery, composition, and invocation of web and agent-based services. By adding a semantic layer to the description of different types of services, this tool supports the interaction between heterogeneous multiagent systems and web services with distinct capabilities that complement each other. The case study confirms the applicability of the developed work, wherein multiple simulation and decision-support tools work together managing a microgrid of residential and office buildings. Using SSC, besides discovering each other, agents also learn about the ontologies and languages to use to communicate with each other effectively.

Research paper thumbnail of Using Satisfaction Analysis to Predict Decision Quality

International Journal of Artificial Intelligence, Feb 27, 2015

One of the most important factors to determine the success of an organization is the quality of d... more One of the most important factors to determine the success of an organization is the quality of decisions made. In order to improve the decisions taken and to strengthen the competitiveness of organizations, systems such as Group Decision Support Systems (GDSS) have been strongly developed and studied in recent decades. The amount of GDSS incorporating automatic negotiation mechanisms, such as argumentation, is increasing nowadays. The evaluation of these mechanisms and the understanding of their real benefits for the organizations is still a hard challenge. In this article, we propose a model that allows a GDSS to measure the participant's satisfaction with the decision, considering aspects such as problem evaluation, personality, emotions and expectations. To create the model some assumptions are deducted from literature, as well as the premises needed to validate any decision satisfaction model. This model is intended to enable the understanding of the decision's quality achieved with an argumentation system and to evaluate its capability to potentiate the decision's quality. The proposed model validates all the assumptions found in the literature regarding the participant's satisfaction.

Research paper thumbnail of An Intelligent Coaching Prototype for Elderly Care

Electronics

The world ageing problem is prompting new sustainable ways to support elderly people. As such, it... more The world ageing problem is prompting new sustainable ways to support elderly people. As such, it is important to promote personalized and intelligent ways to assure the active and healthy ageing of the population. Technological breakthroughs have led to the development of personalized healthcare systems, capable of monitoring and providing feedback on different aspects that can improve the health of the elderly person. Furthermore, defining motivational strategies to persuade the elderly person to be healthier and stay connected to such systems is also fundamental. In this work, a coaching system is presented, especially designed to support elderly people and motivate them to pursue healthier ways of living. To do this, a coaching application is developed using both a cognitive virtual assistant to directly interact with the elderly person and provide feedback on his/her current health condition, and several gamification techniques to motivate the elderly person to stay engaged wit...

Research paper thumbnail of Modelling Group Decision Simulation Through Argumentation

Group decision making plays an important role in today’s organisations. The impact of decision ma... more Group decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made individually. In Group Decision Argumentation, there is a set of participants, with different profiles and expertise levels, that exchange ideas or engage in a process of argumentation and counter-argumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this paper, it is proposed a Multi-Agent simulator for the behaviour representation of group members in a decision making process. Agents behave depending on rational and emotional intelligence and use persuasive argumentation to convince and make alternative choices.

Research paper thumbnail of Intelligent Reports for Group Decision Support Systems

This work has been supported by COMPETE Programme (operational programme for competitiveness) wit... more This work has been supported by COMPETE Programme (operational programme for competitiveness) within project POCI-01-0145-FEDER-007043, by National Funds through the FCT - Portuguese Foundation for Science and Technology within the Projects UID/CEC/00319/2013, UID/EEA/00760/2013, and the Joao Carneiro PhD grant with the reference SFRH/BD/89697/2012.

Research paper thumbnail of Modeling Tourists' Personality in Recommender Systems

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization

Personalization is increasingly being perceived as an important factor for the effectiveness of R... more Personalization is increasingly being perceived as an important factor for the effectiveness of Recommender Systems (RS). This is especially true in the tourism domain, where travelling comprises emotionally charged experiences, and therefore, the more about the tourist is known, better recommendations can be made. The inclusion of psychological aspects to generate recommendations, such as personality, is a growing trend in RS and they are being studied to provide more personalized approaches. However, although many studies on the psychology of tourism exist, studies on the prediction of tourist preferences based on their personality are limited. Therefore, we undertook a large-scale study in order to determine how the Big Five personality dimensions influence tourists' preferences for tourist attractions, gathering data from an online questionnaire, sent to Portuguese individuals from the academic sector and their respective relatives/friends (n=508). Using Exploratory and Confirmatory Factor Analysis, we extracted 11 main categories of tourist attractions and analyzed which personality dimensions were predictors (or not) of preferences for those tourist attractions. As a result, we propose the first model that relates the five personality dimensions with preferences for tourist attractions, which intends to offer a base for researchers of RS for tourism to automatically model tourist preferences based on their personality.

Research paper thumbnail of Dynamic argumentation in UbiGDSS

Knowledge and Information Systems

Supporting and representing the group decision-making process is a complex task that requires ver... more Supporting and representing the group decision-making process is a complex task that requires very specific aspects. The current existing argumentation models cannot make good use of all the advantages inherent to group decision-making. There is no monitoring of the process or the possibility to provide dynamism to it. These issues can compromise the success of Group Decision Support Systems if those systems are not able to provide freedom and all necessary mechanisms to the decision-maker. We investigate the use of argumentation in a completely new perspective that will allow for a mutual understanding between agents and decision-makers. Besides this, our proposal allows to define an agent not only according to the preferences of the decisionmaker but also according to his interests towards the decision-making process. We show that our definition respects the requirements that are essential for groups to interact without limitations and that can take advantage of those interactions to create valuable knowledge to support more and better.

Research paper thumbnail of Including Credibility and Expertise in Group Decision-Making Process: An Approach Designed for UbiGDSS

Advances in Intelligent Systems and Computing, 2017

Supporting group decision-making when the decision-makers are spread around the world is a comple... more Supporting group decision-making when the decision-makers are spread around the world is a complex process. The mechanisms of automated negotiation, such as argumentation, can be used in Ubiquitous Group Decision Support Systems to help decision-makers find a solution based on their preferences. However, there are some other important issues that affect the decisionmaking process beyond typical preferences over criteria and alternatives. In this paper, we propose an algorithm that will allow agents to reason about self-expertise and other decision makers' credibility. This way, we intend agents to achieve better quality and more consensual decisions. Our algorithm includes not only the decision-maker's preferences but also his intentions in the process. By using the proposed model, agents achieved a stronger consensus in all scenarios that were considered and higher satisfaction levels in the most complex scenarios.

Research paper thumbnail of Including cognitive aspects in multiple criteria decision analysis

Annals of Operations Research, 2016

Many Multiple Criteria Decision Analysis (MCDA) methods have been proposed over the last decades.... more Many Multiple Criteria Decision Analysis (MCDA) methods have been proposed over the last decades. Some of the most known methods share some similarities in the way they are used and configured. However, we live in a time of change and nowadays the decision-making process (especially when done in group) is even more demanding and dynamic. In this work, we propose a Multiple Criteria Decision Analysis method that includes cognitive aspects (Cognitive Analytic Process). By taking advantage of aspects such as expertise level, credibility and behaviour style of the decision-makers, we propose a method that relates these aspects with problem configurations (alternatives and criteria preferences) done by each decision-maker. In this work, we evaluated the Cognitive Analytic Process (CAP) in terms of configuration costs and the capability to enhance the quality of the decision. We have used the satisfaction level as a metric to compare our method with other known MCDA methods in literature (Utility function, AHP and TOPSIS). Our method proved to be capable to achieve higher satisfaction levels compared to other MCDA methods, especially when the decision suggested by CAP is different from the one proposed by those methods.

Research paper thumbnail of A Case-Base Approach to Workforces’ Satisfaction Assessment

Lecture Notes in Business Information Processing, 2016

Research paper thumbnail of Prototyping Teams of Affective Agents in Robocode

International Journal of Imaging and Robotics, Jun 22, 2014

The study of the impact of emotion and affect in decision making processes involved in a working ... more The study of the impact of emotion and affect in decision making processes involved in a working team stands for a multidisciplinary issue (e.g. with insights from disciplines such as Psychology, Neuroscience, Philosophy and Computer Science). On the one hand, and in order to create such an environment we look at a team of affective agents to play into a battlefield, which present different emotional profiles (e.g. personality and mood). An emotional system, based on the OCC (Ortony, Clore and Collins) model, was proposed and implemented. As a way to integrate the personality of a robot with its emotions we used pleasure-arousal-dominance (PAD) model of mood. On the other hand, to attain cooperation, a voting mechanism and a decision-making process was implemented, being Robocode used as the simulation environment. Indeed, the results so far obtained are quite satisfying; the agent team performs quite well in the battlefield and undertakes different behaviours depending on the skirmish conditions

Research paper thumbnail of The Effect of Decision Satisfaction Prediction in Argumentation-Based Negotiation

Communications in Computer and Information Science, 2016

Research paper thumbnail of A General Template to Configure Multi-Criteria Problems in Ubiquitous GDSS

International Journal of Software Engineering and Its Applications, 2015

The study of multi-criteria problems adapted to the context of Ubiquitous Group Decision Support ... more The study of multi-criteria problems adapted to the context of Ubiquitous Group Decision Support Systems (UbiGDSS) is covered in the literature through very different perspectives and interests. There are scientific studies related to the multi-criteria problems that lie across argumentation-based negotiation, multi-agent systems, dialogues, etc. However, to perform most of these studies, a high amount of information is required. The usage of so much data or information that is difficult to collect or configure can bring good results in theoretical scenarios but can be impossible to use in the real world. In order to overcome these issues, we present in this paper a general template to configure multi-criteria problems adapted for the contexts of UbiGDSS that intends to be easy and fast to configure, appellative, intuitive, permits to collect a lot of data and helps the decision-maker transmitting his beliefs and opinions to the system. Our proposal includes three sections: Problem Data, Personal Configuration and Problem Configuration. We have developed a prototype with our template with the purpose to simulate the configuration of a multi-criteria problem. We invited real decision-makers to use our prototype in a simulated scenario and asked to them to fulfil a survey in the end in order to study our hypotheses. Our general template achieved good results and proved to be very perceptible and fast to configure.

Research paper thumbnail of Overcoming the Lack of Human-Interaction in Ubiquitous Group Decision Support Systems

Research paper thumbnail of A Study on a Secure Profile Model for Home Network in Cyber-Physical System

International Journal of Security and Its Applications, 2015

Research paper thumbnail of UbiGDSS: A Theoretical Model to Predict Decision-Makers Satisfaction

International Journal of Multimedia and Ubiquitous Engineering, 2015

The market globalization and the firms' internationalization hinder the matching of the top manag... more The market globalization and the firms' internationalization hinder the matching of the top managers' agenda, making it difficult to meet in the same space or time. On the one hand, the appearance of Ubiquitous Group Decision Support Systems (UbiGDSS) enabled individuals to gather and make decisions in different spaces at different times, but on the other hand, originated problems related to the lack of human interaction. To understand how the arguments used can influence each of the decision-makers, what is their satisfaction regarding the decision made, and other affective issues such as emotions and mood, are some examples of that lack. In order to try to overcome this lack, we propose a theoretical model that is specially designed for agents, helping to understand the interactions impact on each agent and their satisfaction with the decision made.

Research paper thumbnail of Defining Agents’ Behaviour for Negotiation Contexts

Lecture Notes in Computer Science, 2015

Research paper thumbnail of An emotional aware architecture to support facilitator in group idea generation process

Advances in Intelligent Systems and Computing, 2013

In an idea generation meeting, the facilitator role is essential to obtain good results. The emot... more In an idea generation meeting, the facilitator role is essential to obtain good results. The emotional context of the meeting partially determines the (un)success of the meeting, so the facilitator needs to obtain and process this information. Thus, the facilitator role is to assist the participants to reach their goals, i.e., to generate ideas with quality. In this paper is proposed an emotional aware architecture whose aim is to assist the facilitator in the process of maximizing the results of the meeting.

Research paper thumbnail of Simulating a Team Behaviour of Affective Agents Using Robocode

Advances in Intelligent Systems and Computing, 2013

The study of the impact of emotion and affect in decision making processes involved in a working ... more The study of the impact of emotion and affect in decision making processes involved in a working team stands for a multidisciplinary issue (e.g. with insights from disciplines such as Psychology, Neuroscience, Philosophy and Computer Science). On the one hand, and in order to create such an environment we look at a team of affective agents to play into a battlefield, which present different emotional profiles (e.g. personality and mood).On the other hand, to attain cooperation, a voting mechanism and a decision-making process was implemented, being Robocode used as the simulation environment. Indeed, the results so far obtained are quite satisfying; the agent team performs quite well in the battlefield and undertakes different behaviours depending on the skirmish conditions.

Research paper thumbnail of Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets

Advances in Intelligent Systems and Computing, 2017

Currently, it is possible to find various tools to deal with the unpredictability of electricity ... more Currently, it is possible to find various tools to deal with the unpredictability of electricity markets. However, they mainly focus on spot markets, disfavouring bilateral negotiations. A multi-agent decision support tool is proposed that addresses the identified gap, supporting players in the pre-negotiation and actual negotiation phases.

Research paper thumbnail of Semantic Services Catalog for Multiagent Systems Society

Lecture Notes in Computer Science, 2021

Agent-based simulation tools have found many applications in the field of Power and Energy System... more Agent-based simulation tools have found many applications in the field of Power and Energy Systems, as they can model and analyze the complex synergies of dynamic and continuously evolving systems. While some studies have been done w.r.t. simulation and decision support for electricity markets and smart grids, there is still a generalized limitation referring to the significant lack of interoperability between independently developed systems, hindering the task of addressing all the relevant existing interrelationships. This work presents the Semantic Services Catalog (SSC), developed and implemented for the automatic registry, discovery, composition, and invocation of web and agent-based services. By adding a semantic layer to the description of different types of services, this tool supports the interaction between heterogeneous multiagent systems and web services with distinct capabilities that complement each other. The case study confirms the applicability of the developed work, wherein multiple simulation and decision-support tools work together managing a microgrid of residential and office buildings. Using SSC, besides discovering each other, agents also learn about the ontologies and languages to use to communicate with each other effectively.

Research paper thumbnail of Using Satisfaction Analysis to Predict Decision Quality

International Journal of Artificial Intelligence, Feb 27, 2015

One of the most important factors to determine the success of an organization is the quality of d... more One of the most important factors to determine the success of an organization is the quality of decisions made. In order to improve the decisions taken and to strengthen the competitiveness of organizations, systems such as Group Decision Support Systems (GDSS) have been strongly developed and studied in recent decades. The amount of GDSS incorporating automatic negotiation mechanisms, such as argumentation, is increasing nowadays. The evaluation of these mechanisms and the understanding of their real benefits for the organizations is still a hard challenge. In this article, we propose a model that allows a GDSS to measure the participant's satisfaction with the decision, considering aspects such as problem evaluation, personality, emotions and expectations. To create the model some assumptions are deducted from literature, as well as the premises needed to validate any decision satisfaction model. This model is intended to enable the understanding of the decision's quality achieved with an argumentation system and to evaluate its capability to potentiate the decision's quality. The proposed model validates all the assumptions found in the literature regarding the participant's satisfaction.

Research paper thumbnail of An Intelligent Coaching Prototype for Elderly Care

Electronics

The world ageing problem is prompting new sustainable ways to support elderly people. As such, it... more The world ageing problem is prompting new sustainable ways to support elderly people. As such, it is important to promote personalized and intelligent ways to assure the active and healthy ageing of the population. Technological breakthroughs have led to the development of personalized healthcare systems, capable of monitoring and providing feedback on different aspects that can improve the health of the elderly person. Furthermore, defining motivational strategies to persuade the elderly person to be healthier and stay connected to such systems is also fundamental. In this work, a coaching system is presented, especially designed to support elderly people and motivate them to pursue healthier ways of living. To do this, a coaching application is developed using both a cognitive virtual assistant to directly interact with the elderly person and provide feedback on his/her current health condition, and several gamification techniques to motivate the elderly person to stay engaged wit...

Research paper thumbnail of Modelling Group Decision Simulation Through Argumentation

Group decision making plays an important role in today’s organisations. The impact of decision ma... more Group decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made individually. In Group Decision Argumentation, there is a set of participants, with different profiles and expertise levels, that exchange ideas or engage in a process of argumentation and counter-argumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this paper, it is proposed a Multi-Agent simulator for the behaviour representation of group members in a decision making process. Agents behave depending on rational and emotional intelligence and use persuasive argumentation to convince and make alternative choices.

Research paper thumbnail of Intelligent Reports for Group Decision Support Systems

This work has been supported by COMPETE Programme (operational programme for competitiveness) wit... more This work has been supported by COMPETE Programme (operational programme for competitiveness) within project POCI-01-0145-FEDER-007043, by National Funds through the FCT - Portuguese Foundation for Science and Technology within the Projects UID/CEC/00319/2013, UID/EEA/00760/2013, and the Joao Carneiro PhD grant with the reference SFRH/BD/89697/2012.

Research paper thumbnail of Modeling Tourists' Personality in Recommender Systems

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization

Personalization is increasingly being perceived as an important factor for the effectiveness of R... more Personalization is increasingly being perceived as an important factor for the effectiveness of Recommender Systems (RS). This is especially true in the tourism domain, where travelling comprises emotionally charged experiences, and therefore, the more about the tourist is known, better recommendations can be made. The inclusion of psychological aspects to generate recommendations, such as personality, is a growing trend in RS and they are being studied to provide more personalized approaches. However, although many studies on the psychology of tourism exist, studies on the prediction of tourist preferences based on their personality are limited. Therefore, we undertook a large-scale study in order to determine how the Big Five personality dimensions influence tourists' preferences for tourist attractions, gathering data from an online questionnaire, sent to Portuguese individuals from the academic sector and their respective relatives/friends (n=508). Using Exploratory and Confirmatory Factor Analysis, we extracted 11 main categories of tourist attractions and analyzed which personality dimensions were predictors (or not) of preferences for those tourist attractions. As a result, we propose the first model that relates the five personality dimensions with preferences for tourist attractions, which intends to offer a base for researchers of RS for tourism to automatically model tourist preferences based on their personality.

Research paper thumbnail of Dynamic argumentation in UbiGDSS

Knowledge and Information Systems

Supporting and representing the group decision-making process is a complex task that requires ver... more Supporting and representing the group decision-making process is a complex task that requires very specific aspects. The current existing argumentation models cannot make good use of all the advantages inherent to group decision-making. There is no monitoring of the process or the possibility to provide dynamism to it. These issues can compromise the success of Group Decision Support Systems if those systems are not able to provide freedom and all necessary mechanisms to the decision-maker. We investigate the use of argumentation in a completely new perspective that will allow for a mutual understanding between agents and decision-makers. Besides this, our proposal allows to define an agent not only according to the preferences of the decisionmaker but also according to his interests towards the decision-making process. We show that our definition respects the requirements that are essential for groups to interact without limitations and that can take advantage of those interactions to create valuable knowledge to support more and better.

Research paper thumbnail of Including Credibility and Expertise in Group Decision-Making Process: An Approach Designed for UbiGDSS

Advances in Intelligent Systems and Computing, 2017

Supporting group decision-making when the decision-makers are spread around the world is a comple... more Supporting group decision-making when the decision-makers are spread around the world is a complex process. The mechanisms of automated negotiation, such as argumentation, can be used in Ubiquitous Group Decision Support Systems to help decision-makers find a solution based on their preferences. However, there are some other important issues that affect the decisionmaking process beyond typical preferences over criteria and alternatives. In this paper, we propose an algorithm that will allow agents to reason about self-expertise and other decision makers' credibility. This way, we intend agents to achieve better quality and more consensual decisions. Our algorithm includes not only the decision-maker's preferences but also his intentions in the process. By using the proposed model, agents achieved a stronger consensus in all scenarios that were considered and higher satisfaction levels in the most complex scenarios.

Research paper thumbnail of Including cognitive aspects in multiple criteria decision analysis

Annals of Operations Research, 2016

Many Multiple Criteria Decision Analysis (MCDA) methods have been proposed over the last decades.... more Many Multiple Criteria Decision Analysis (MCDA) methods have been proposed over the last decades. Some of the most known methods share some similarities in the way they are used and configured. However, we live in a time of change and nowadays the decision-making process (especially when done in group) is even more demanding and dynamic. In this work, we propose a Multiple Criteria Decision Analysis method that includes cognitive aspects (Cognitive Analytic Process). By taking advantage of aspects such as expertise level, credibility and behaviour style of the decision-makers, we propose a method that relates these aspects with problem configurations (alternatives and criteria preferences) done by each decision-maker. In this work, we evaluated the Cognitive Analytic Process (CAP) in terms of configuration costs and the capability to enhance the quality of the decision. We have used the satisfaction level as a metric to compare our method with other known MCDA methods in literature (Utility function, AHP and TOPSIS). Our method proved to be capable to achieve higher satisfaction levels compared to other MCDA methods, especially when the decision suggested by CAP is different from the one proposed by those methods.

Research paper thumbnail of A Case-Base Approach to Workforces’ Satisfaction Assessment

Lecture Notes in Business Information Processing, 2016

Research paper thumbnail of Prototyping Teams of Affective Agents in Robocode

International Journal of Imaging and Robotics, Jun 22, 2014

The study of the impact of emotion and affect in decision making processes involved in a working ... more The study of the impact of emotion and affect in decision making processes involved in a working team stands for a multidisciplinary issue (e.g. with insights from disciplines such as Psychology, Neuroscience, Philosophy and Computer Science). On the one hand, and in order to create such an environment we look at a team of affective agents to play into a battlefield, which present different emotional profiles (e.g. personality and mood). An emotional system, based on the OCC (Ortony, Clore and Collins) model, was proposed and implemented. As a way to integrate the personality of a robot with its emotions we used pleasure-arousal-dominance (PAD) model of mood. On the other hand, to attain cooperation, a voting mechanism and a decision-making process was implemented, being Robocode used as the simulation environment. Indeed, the results so far obtained are quite satisfying; the agent team performs quite well in the battlefield and undertakes different behaviours depending on the skirmish conditions

Research paper thumbnail of The Effect of Decision Satisfaction Prediction in Argumentation-Based Negotiation

Communications in Computer and Information Science, 2016

Research paper thumbnail of A General Template to Configure Multi-Criteria Problems in Ubiquitous GDSS

International Journal of Software Engineering and Its Applications, 2015

The study of multi-criteria problems adapted to the context of Ubiquitous Group Decision Support ... more The study of multi-criteria problems adapted to the context of Ubiquitous Group Decision Support Systems (UbiGDSS) is covered in the literature through very different perspectives and interests. There are scientific studies related to the multi-criteria problems that lie across argumentation-based negotiation, multi-agent systems, dialogues, etc. However, to perform most of these studies, a high amount of information is required. The usage of so much data or information that is difficult to collect or configure can bring good results in theoretical scenarios but can be impossible to use in the real world. In order to overcome these issues, we present in this paper a general template to configure multi-criteria problems adapted for the contexts of UbiGDSS that intends to be easy and fast to configure, appellative, intuitive, permits to collect a lot of data and helps the decision-maker transmitting his beliefs and opinions to the system. Our proposal includes three sections: Problem Data, Personal Configuration and Problem Configuration. We have developed a prototype with our template with the purpose to simulate the configuration of a multi-criteria problem. We invited real decision-makers to use our prototype in a simulated scenario and asked to them to fulfil a survey in the end in order to study our hypotheses. Our general template achieved good results and proved to be very perceptible and fast to configure.

Research paper thumbnail of Overcoming the Lack of Human-Interaction in Ubiquitous Group Decision Support Systems

Research paper thumbnail of A Study on a Secure Profile Model for Home Network in Cyber-Physical System

International Journal of Security and Its Applications, 2015

Research paper thumbnail of UbiGDSS: A Theoretical Model to Predict Decision-Makers Satisfaction

International Journal of Multimedia and Ubiquitous Engineering, 2015

The market globalization and the firms' internationalization hinder the matching of the top manag... more The market globalization and the firms' internationalization hinder the matching of the top managers' agenda, making it difficult to meet in the same space or time. On the one hand, the appearance of Ubiquitous Group Decision Support Systems (UbiGDSS) enabled individuals to gather and make decisions in different spaces at different times, but on the other hand, originated problems related to the lack of human interaction. To understand how the arguments used can influence each of the decision-makers, what is their satisfaction regarding the decision made, and other affective issues such as emotions and mood, are some examples of that lack. In order to try to overcome this lack, we propose a theoretical model that is specially designed for agents, helping to understand the interactions impact on each agent and their satisfaction with the decision made.

Research paper thumbnail of Defining Agents’ Behaviour for Negotiation Contexts

Lecture Notes in Computer Science, 2015

Research paper thumbnail of An emotional aware architecture to support facilitator in group idea generation process

Advances in Intelligent Systems and Computing, 2013

In an idea generation meeting, the facilitator role is essential to obtain good results. The emot... more In an idea generation meeting, the facilitator role is essential to obtain good results. The emotional context of the meeting partially determines the (un)success of the meeting, so the facilitator needs to obtain and process this information. Thus, the facilitator role is to assist the participants to reach their goals, i.e., to generate ideas with quality. In this paper is proposed an emotional aware architecture whose aim is to assist the facilitator in the process of maximizing the results of the meeting.

Research paper thumbnail of Simulating a Team Behaviour of Affective Agents Using Robocode

Advances in Intelligent Systems and Computing, 2013

The study of the impact of emotion and affect in decision making processes involved in a working ... more The study of the impact of emotion and affect in decision making processes involved in a working team stands for a multidisciplinary issue (e.g. with insights from disciplines such as Psychology, Neuroscience, Philosophy and Computer Science). On the one hand, and in order to create such an environment we look at a team of affective agents to play into a battlefield, which present different emotional profiles (e.g. personality and mood).On the other hand, to attain cooperation, a voting mechanism and a decision-making process was implemented, being Robocode used as the simulation environment. Indeed, the results so far obtained are quite satisfying; the agent team performs quite well in the battlefield and undertakes different behaviours depending on the skirmish conditions.