In this paper, we present a new approach to support the decision of selecting one object out of a set of alternatives. As compared to previous approaches, the distinctive feature of our approach is that neither the user, nor the system need to build a model of user’s preferences. Our proposal is to in-tegrate a system for interactive data exploration and analysis with a multimedia explanation facility. The explanation fa-cility supports the user in understanding unexpected aspects of the data. The explanation generation process is guided by a causal model of the domain that is automatically acquired by the system
If user interfaces are to reap the benefits of natural language interaction, they must be endowed wi...
. Expert systems are typically expected to be able to justify their decisions to the user. This pape...
In this article, we examine the case of a system that cooperates with a “direct” user to plan an act...
The problem of interactive formation of explanations in intelligent information systems, as a proble...
An explanation system developed to overcome the disadvantages of conventional authoring in multimedi...
Intelligent artificial agents need to be able to explain and justify their actions. They must theref...
An explanation facility is an important component of an expert system, but current systems for the m...
Intelligent artificial agents need to be able to explain and justify their actions. They must theref...
In this work we show that there is a need of using multimodal resources during human-computer intera...
Abstract. A Markov Decision Process (MDP) policy presents, for each state, an action, which preferab...
This thesis focuses on explanations of recommendations. Explanations can have many advantages, from ...
Explanations in intelligent systems aim to enhance a users’ understandability of their reasoning pro...
In this paper we examine the role of explanations as a means of facilitating the use of relevance fe...
A Reason Support System (RSS) uses a web of interconnected logical statements that supports an overa...
Machine learning models often exhibit complex behavior that is difficult to understand. Recent resea...
If user interfaces are to reap the benefits of natural language interaction, they must be endowed wi...
. Expert systems are typically expected to be able to justify their decisions to the user. This pape...
In this article, we examine the case of a system that cooperates with a “direct” user to plan an act...
The problem of interactive formation of explanations in intelligent information systems, as a proble...
An explanation system developed to overcome the disadvantages of conventional authoring in multimedi...
Intelligent artificial agents need to be able to explain and justify their actions. They must theref...
An explanation facility is an important component of an expert system, but current systems for the m...
Intelligent artificial agents need to be able to explain and justify their actions. They must theref...
In this work we show that there is a need of using multimodal resources during human-computer intera...
Abstract. A Markov Decision Process (MDP) policy presents, for each state, an action, which preferab...
This thesis focuses on explanations of recommendations. Explanations can have many advantages, from ...
Explanations in intelligent systems aim to enhance a users’ understandability of their reasoning pro...
In this paper we examine the role of explanations as a means of facilitating the use of relevance fe...
A Reason Support System (RSS) uses a web of interconnected logical statements that supports an overa...
Machine learning models often exhibit complex behavior that is difficult to understand. Recent resea...
If user interfaces are to reap the benefits of natural language interaction, they must be endowed wi...
. Expert systems are typically expected to be able to justify their decisions to the user. This pape...
In this article, we examine the case of a system that cooperates with a “direct” user to plan an act...