Prediction of intent in robotics and multi-agent systems.

Moving beyond the stimulus contained in observable agent behaviour, i.e. understanding the underlying intent of the observed agent is of immense interest in a variety of domains that involve collaborative and competitive scenarios, for example assistive robotics, computer games, robot-human interaction, decision support and intelligent tutoring. This review paper examines approaches for performing action recognition and prediction of intent from a multi-disciplinary perspective, in both single robot and multi-agent scenarios, and analyses the underlying challenges, focusing mainly on generative approaches

Who am I talking with? A face memory for social robots

In order to provide personalized services and to develop human-like interaction capabilities robots need to rec- ognize their human partner. Face recognition has been studied in the past decade exhaustively in the context of security systems and with significant progress on huge datasets. However, these capabilities are not in focus when it comes to social interaction situations. Humans are able to remember people seen for a short moment in time and apply this knowledge directly in their engagement in conversation. In order to equip a robot with capabilities to recall human interlocutors and to provide user- aware services, we adopt human-human interaction schemes to propose a face memory on the basis of active appearance models integrated with the active memory architecture. This paper presents the concept of the interactive face memory, the applied recognition algorithms, and their embedding into the robot’s system architecture. Performance measures are discussed for general face databases as well as scenario-specific datasets

How can the concepts of habitus and field help us to understand the engagement of educational workers in higher Education?

In ‘Making a European area of lifelong learning a reality’, the EU stressed the role of universities in relation to lifelong learning, a role that entails a need for widening access to universities, particularly for those not coming through the traditional direct route of upper secondary education. As teachers play a significant role in the quality of the lifelong learning as well as in motivating future generations to take part in lifelong learning, education and training for teachers becomes important; not only in relation to initial teacher education, but also in relation to a continuous development of knowledge and skills. This paper represents the first stage of a larger comparative project intended to examine and compare educational workers’ (i.e. professionals involved in teaching in the class room) participation in higher education in England and Denmark, their access and interest. In particular, the paper relates participation and engagement to national and international educational policies and frames this work within an examination of the social background of the professional groups. The key research questions at this stage of the work are methodological and can be summed up by the overarching question, “How can the concepts of habitus and field help us to understand levels of engagement of educational workers in Higher Education”? The paper reports the results of our review of current policies and our efforts to identify the structural relations within the educational professional fields in each country. To do so we are developing a theoretical model using the relational analytical approach advocated by Bourdieu. As such, our work is an early stage attempt at operationalising Bourdieu’s observations regarding the dynamics of field. This seems to us to provide an important conceptual approach to understanding the habitus of educational workers in the context of the dynamics of a fast changing policy arena and the complexities of the backgrounds of individuals working in the educational field. The model attempts to build in the reflexivity that Bourdieu demands for a ‘science’ that is not weakened by over-emphasis on either the objective structural relations or the subjective phenomenology of experience. Thus, the paper presents a preliminary contextual analysis of the factors that enable an understanding of engagement or lack of engagement in higher level learning among school-based education workers in the two EU countries and is related to a larger research project that explores habitus (both individual and collective) among these groups of education workers

Human-AI Collaboration for Smart Education: Reframing Applied Learning to Support Metacognition

This chapter investigates the profound influence of intelligent virtual assistants (IVAs) on the educational domain, specifically in the realm of individualized learning and the instruction of writing abilities and content creation. IVAs, incorporating generative AI technologies such as ChatGPT and Stable Diffusion, hold the potential to bring about a paradigm shift in educational programs, emphasizing the enhancement of advanced metacognitive capacities rather than the fundamentals of communication. The subsequent recommendations stress the need to cultivate enduring proficiencies and ascertain tailored learning approaches for each learner, which will be indispensable for success in the evolving job market. In this context, prompt engineering is emerging as a vital competency, while continuous reskilling and lifelong learning become professional requisites. The proposed innovative method for teaching writing skills and content generation advocates for a reconfiguration of curricula to concentrate on applied learning techniques that accentuate the value of contextual judgment as a central pedagogical tenet and the mastery of sophisticated metacognitive abilities, which will be pivotal in the future of work

Museum Experience Design: A Modern Storytelling Methodology

In this paper we propose a new direction for design, in the context of the theme “Next Digital Technologies in Arts and Culture”, by employing modern methods based on Interaction Design, Interactive Storytelling and Artificial Intelligence. Focusing on Cultural Heritage, we propose a new paradigm for Museum Experience Design, facilitating on the one hand traditional visual and multimedia communication and, on the other, a new type of interaction with artefacts, in the form of a Storytelling Experience. Museums are increasingly being transformed into hybrid spaces, where virtual (digital) information coexists with tangible artefacts. In this context, “Next Digital Technologies” play a new role, providing methods to increase cultural accessibility and enhance experience. Not only is the goal to convey stories hidden inside artefacts, as well as items or objects connected to them, but it is also to pave the way for the creation of new ones through an interactive museum experience that continues after the museum visit ends. Social sharing, in particular, can greatly increase the value of dissemination