This research pioneers the application of a machine learning framework to predict the perceived productivity of office workers using physiological, behavioral, and psychological …
Measuring the level of engagement among participants in a meeting is crucial for evaluating collective understanding. While previous studies have utilized multiple sensors, such as …
E Ertay, H Huang, Z Sarsenbayeva… - Adjunct Proceedings of the …, 2021 - dl.acm.org
Emotion detection research has gained significant attention across different scientific disciplines, including Human-Computer Interaction and Ubiquitous Computing. In this work …
The profuse popularity of video conferencing has led to a simultaneous rise in the opportunity for the participants to multitask. Productive multitasking, such as taking notes …
To achieve seamless interactions, robots have to be capable of reliably detecting affective states in real time. One of the possible states that humans go through while interacting with …
K Giannou, CD Frowd, JR Taylor… - Applied Cognitive …, 2021 - Wiley Online Library
Meditative mindfulness practices, promoting sustained attention and reducing mind‐ wandering, have been associated with improvements in cognitive abilities and memory. The …
Monitoring students' engagement and understanding their learning pace in a virtual classroom becomes challenging in the absence of direct eye contact between the students …
Recent research has employed measures of either empathy, compassion or mindfulness and linked better face recognition memory to higher scores of identification with all humanity …
Prior research suggests that affective states of self-regulated learning can be used to improve learners' cognitive processes and their learning outcomes. However, little research …