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Information retrieval (IR) relies on a general notion of relevance, which is used as the principal foundation for ranking and evaluation methods. However, IR does not account for more a nuanced affective experience. Here, we consider the emotional ...

The probabilistic nature of the inferences in a context-aware intelligent environment (CAIE) renders them vulnerable to erroneous decisions resulting in wrong services. Learning to recognize a user's negative reactions to such wrong services will enable ...

Although interfaces can adapt to users' behavior only little empirical evidence has been reported about their capability to influence people's emotions. The goal of this study is to explore the influence of haptic force feedback on the emotional ...

Abstract Playing computer games is a predominantly emotional than rational process. Video games with affect-based adaptation measure player's behavior signals and recognize player's emotional states in order to adapt specific game features in a dynamic ...

Recent HCI research has looked at conveying emotions through non-visual modalities, such as vibrotactile and thermal feedback. However, emotion is primarily conveyed through visual signals, and so this research aims to support the design of emotional ...

The adoption of emotion awareness features in learning environments, has been put on the focus of the research agenda towards students' engagement and their authentic social interaction. In the current paper we provide a solution towards the provision ...

The enrichment of Computer Supported Collaborative (CSCL) Systems with emotion awareness features (detect emotion patterns and respond effectively) opens a window to the future of learner-to-computer interaction. In the current paper we present a system'...

Valid, reliable and quick measurement of emotion and affect is an important challenge for the use of emotion and affect in human-technology interaction. Emotion and affect can be measured in two different ways: explicit, the user is asked for feedback, ...

Information retrieval systems face a number of challenges, originating mainly from the semantic gap problem. Implicit feedback techniques have been employed in the past to address many of these issues. Although this was a step towards the right ...

If computers are to interact naturally with humans, they must express social competencies and recognize human emotion. This talk describes the role of technology in responding to both affect and cognition and examines research to identify student ...

We report the results of a randomized controlled evaluation of the effectiveness of pedagogical agents as providers of affective feedback. These digital learning companions were embedded in an intelligent tutoring system for mathematics, and were used ...

Multimedia search systems face a number of challenges, emanating mainly from the semantic gap problem. Implicit feedback is considered a useful technique in addressing many of the semantic-related issues. By analysing implicit feedback information ...

Theories and technologies are needed to understand and integrate the knowledge of student affect (e.g., frustration, motivation and self-confidence) into learning models. Our goals are to redress the cognitive versus affective imbalance in teaching ...

By analyzing explicit & implicit feedback information retrieval systems can determine topical relevance and tailor search criteria to the user's needs. In this paper we investigate whether it is possible to infer what is relevant by observing user ...

Recommender systems have been systematically applied in industry and academia to help users cope with information uncertainty. However, given the multiplicity of the preferences and needs it has been shown that no approach is suitable for all users in ...

Over the years, recommender systems have been systematically applied in both industry and academia to assist users in dealing with information overload. One of the factors that determine the performance of a recommender system is user feedback, which ...