Studies in the lab have shown that affect recognition using physiological data is feasible with machine learning methods. Datasets collected in-the-wild can further improve such methods’ robustness and applicability. This study presents LAUREATE, a ...

Affective states and cognition share a close relationship, influencing each other in several ways. In particular, our affect, i.e. our feelings and mood, impacts our perception of the world, our memory, and our decisions. This relationship also ...

Interrupting a speaker at the right moment during a meeting is an advanced skill, and not everyone can do it. It is not a rare case that one person keeps talking for a long time, particularly in a video conference, due to limited bandwidth and latency. ...

Although language learners have different contexts and motivations, sensing personal backgrounds to optimize learning materials has still been challenging. By focusing on the huge movement of Social Networking Services (SNS) such as Instagram, we came ...

With the widespread use of mobile devices, many next Point-Of-Interest (POI) recommender systems train users’ data on their devices to provide personalized recommendation services, which requires the algorithms to have an efficient convergence rate. ...

Modern wearable devices enable the recording of physiological data from users in a continuous and unobtrusive manner. Using individual wearable devices to monitor students’ psycho-physiological states could be helpful for personalised learning ...

Current workflow on co-editing and simultaneous presentation of 3-D shapes is confined to on-screen manipulation, which causes loss of perceived information when presenting perceptual concepts or complex shapes between members. Thus, we create ...