Towards responsive Sensitive Artificial Listeners

This paper describes work in the recently started project SEMAINE, which aims to build a set of Sensitive Artificial Listeners – conversational agents designed to sustain an interaction with a human user despite limited verbal skills, through robust recognition and generation of non-verbal behaviour in real-time, both when the agent is speaking and listening. We report on data collection and on the design of a system architecture in view of real-time responsiveness

Mixed reality participants in smart meeting rooms and smart home enviroments

Human–computer interaction requires modeling of the user. A user profile typically contains preferences, interests, characteristics, and interaction behavior. However, in its multimodal interaction with a smart environment the user displays characteristics that show how the user, not necessarily consciously, verbally and nonverbally provides the smart environment with useful input and feedback. Especially in ambient intelligence environments we encounter situations where the environment supports interaction between the environment, smart objects (e.g., mobile robots, smart furniture) and human participants in the environment. Therefore it is useful for the profile to contain a physical representation of the user obtained by multi-modal capturing techniques. We discuss the modeling and simulation of interacting participants in a virtual meeting room, we discuss how remote meeting participants can take part in meeting activities and they have some observations on translating research results to smart home environments

Continuous Interaction with a Virtual Human

Attentive Speaking and Active Listening require that a Virtual Human be capable of simultaneous perception/interpretation and production of communicative behavior. A Virtual Human should be able to signal its attitude and attention while it is listening to its interaction partner, and be able to attend to its interaction partner while it is speaking – and modify its communicative behavior on-the-fly based on what it perceives from its partner. This report presents the results of a four week summer project that was part of eNTERFACE’10. The project resulted in progress on several aspects of continuous interaction such as scheduling and interrupting multimodal behavior, automatic classification of listener responses, generation of response eliciting behavior, and models for appropriate reactions to listener responses. A pilot user study was conducted with ten participants. In addition, the project yielded a number of deliverables that are released for public access

Negotiation of meaning via virtual exchange in immersive virtual reality environments

This study examines how English-as-lingua-franca (ELF) learners employ semiotic resources, including head movements, gestures, facial expression, body posture, and spatial juxtaposition, to negotiate for meaning in an immersive virtual reality (VR) environment. Ten ELF learners participated in a Taiwan-Spain VR virtual exchange project and completed two VR tasks on an immersive VR platform. Multiple datasets, including the recordings of VR sessions, pre- and post-task questionnaires, observation notes, and stimulated recall interviews, were analyzed quantitatively and qualitatively with triangulation. Built upon multimodal interaction analysis (Norris, 2004) and Varonis and Gass’ (1985a) negotiation of meaning model, the findings indicate that ELF learners utilized different embodied semiotic resources in constructing and negotiating meaning at all primes to achieve effective communication in an immersive VR space. The avatar-mediated representations and semiotic modalities were shown to facilitate indication, comprehension, and explanation to signal and resolve non-understanding instances. The findings show that with space proxemics and object handling as the two distinct features of VR-supported environments, VR platforms transform learners’ social interaction from plane to three-dimensional communication, and from verbal to embodied, which promotes embodied learning. VR thus serves as a powerful immersive interactive environment for ELF learners from distant locations to be engaged in situated languacultural practices that goes beyond physical space. Pedagogical implications are discussed