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Nowadays, a lot of IT personnel have psychological distress. Meanwhile, counselors to help them are lack in number. To solve the problem, we proposed a counseling agent (CA) called CRECA (context respectful counseling agent). CRECA listens to clients and promotes their reflection context respectfully namely in a context preserving way. This agent can be enhanced using a body language called "unazuki"...
In multiple attribute decision analysis (MADA) problems, one often needs to deal with assessment information with uncertainty. The evidential reasoning approach is one of the most effective methods to deal with such MADA problems. As a kernel of the evidential reasoning approach, an original evidential reasoning (ER) algorithm was firstly proposed by Yang et al, and later they modified the ER algorithm...
Digital organizations are now ruled by the flexibility offered by remote working environments. The availability of people to work from different places, with digital tools, empower them very often not only to perform their work better and faster, but also to reach higher levels of satisfaction in balancing work and private life. However, from an organizational perspective, there are concerns regarding...
The expert selection is an important decision problem in the research and development process of complex product systems (CoPS) projects and suitable experts will facilitate the successful task achievement. Existing methods for the expert selection are mostly based on the individual performance, whereas the task characteristics of CoPS projects and the knowledge correlationship between candidates...
Predicting the desirability and number of student applications to universities is a challenging and dynamic undertaking. Student applications are affected by a variety of factors ranging from those related to the university itself and its surrounding community, to factors up to the national level, including perceptions of international relations. This paper proposes a way of modeling this complex...
In this paper, we experimentally examine the relationship between visual cognition difficulty and target-tracking eye movements, which recorded during moving target cognition. Generally, such eye movements are observed when humans perceive a moving object and they vary widely due to many factors, such as target shape, backgrounds, illumination conditions, and so on. Several systems have been proposed...
Pervasive mobile games utilise contextual data about players and their environment to explore new means of interaction and enhance the gaming experience. However, the inherent imperfection of contextual data acquisition poses a challenge for developers and designers of pervasive games. In these games, both sensor inaccuracies and uncertainties need to be identified and properly handled to prevent...
In this paper we report on our study of the performance of Deep Reinforcement Learning (DRL) agents in performing tasks that are illustrative for human Sensor Operators (SOs) in Remotely Piloted Aircraft Systems (RPASs). Our hypothesis is that the descriptive and predictive qualities of the agent's learning process potentially allow us to identify human task requirements, training needs, selection...
One of the challenges in children education is the inclusion of students with Down syndrome in regular schools. Some studies have discussed the advantages of using technological resources as mediation tools in literacy processes, as well as the impact of these resources in the distance education modality. However, an issue identified in the current state of the art is the lack of initiatives related...
Autonomous driving relies on a wide range of domains of research. It faces rapid technological and theoretical advances, with various methods and process developments. For the interest of the high-level decision making subpart of autonomous vehicle architecture, the previous states of the art report a vast literature, from traditional mobile robotics to human-modelling approaches. The purpose of this...
Despite many research efforts focused on the development of algebraic reasoning and the resolution of story problems, several investigations have reported that relatively advanced students experience serious difficulties in symbolizing certain meaningful relations by using algebraic equations. In this paper, we describe and justify the Graphical User Interface of an Intelligent Tutoring System that...
Context-awareness relates to personalisation and requires the selection of potential recipients for targeted service provision. Selection requires a decision, therefore context-aware systems are decision-support systems. In the ‘real-world’ humans try to reach ‘rational decisions’ by applying ‘wisdom’, in this paper we propose an approach which applies ‘rational decision-support’ in context-aware...
A Probabilistic Conditional Preference network (PCP-net) provides a compact representation of preferences characterized with uncertainty. We propose to enrich the expressive power of the PCP-net by adding constraints between some of the variables. We call this new model, the Constrained PCP-net (CPCP-net). We study the key preference reasoning task with the proposed CPCP-net which consists in finding...
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