Mar Saneiro

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We report current findings when considering video recordings of facial expressions and body movements to provide affective personalized support in an educational context from an enriched multimodal emotion detection approach. In particular, we describe an annotation methodology to tag facial expression and body movements that conform to changes in the(More)
The emotional situation of the learner can influence the learning process. For this reason, we are researching how educational recommender systems can take advantage of affective computing to improve the recommendation support in educational scenarios. The paper reports works carried out involving 18 educators and 77 learners to elicit and design emotional(More)
In this paper we introduce the MAMIPEC project. The aim of this project is to explore the application of affective computing to accessible and personalized learning systems. To this end, we consider a user context which includes appliances and devices to enrich user interaction. We describe the research objectives and present on-going work towards(More)
This work explores the benefits of supporting learners affectively in a context-aware learning situation. This features a new challenge in related literature in terms of providing affective educational recommendations that take advantage of ambient intelligence and are delivered through actuators available in the environment, thus going beyond previous(More)
Despite psychological research showing that there is a strong relationship between learners’ affective state and the learning process, affection is often neglected by distance learning (DL) educators. In this paper we discuss some issues which arise when eliciting personalized affective recommendations for DL scenarios. These issues were identified in the(More)
Supervising a student’s resolution of an arithmetic word problem is a cumbersome task. Different students may use different lines of reasoning to reach the final solution, and the assistance provided should be consistent with the resolution path that the student has in mind. In addition, further learning gains can be achieved if the previous student’s(More)
Recent progress in affective computing is having an important impact on the development of Intelligent Tutoring Systems (ITS). Many ITS use action logs to record user’s interaction with the system, such as to discover important information that help instructional designers to improve the ITS performance. However, finer grain interaction data as well as(More)
In this paper we present research works we are addressing in EU4ALL project (IST-2006-034778) to enable Higher Education (HE) institutions to support and attend the accessibility needs of their students. This approach is based on integrating i) learning and ii) management of the learning in terms of workflows to support the different types of existing(More)