Dance and choreography in HCI: a two-decade retrospective

Q Zhou, CC Chua, J Knibbe, J Goncalves… - Proceedings of the 2021 …, 2021 - dl.acm.org
Designing computational support for dance is an emerging area of HCI research,
incorporating the cultural, experiential, and embodied characteristics of the third-wave shift …

Predicting office workers' productivity: a machine learning approach integrating physiological, behavioral, and psychological indicators

M Awada, B Becerik-Gerber, G Lucas, SC Roll - Sensors, 2023 - mdpi.com
This research pioneers the application of a machine learning framework to predict the
perceived productivity of office workers using physiological, behavioral, and psychological …

Engauge: Engagement gauge of meeting participants estimated by facial expression and deep neural network

K Watanabe, T Sathyanarayana, A Dengel… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

Challenges of emotion detection using facial expressions and emotion visualisation in remote communication

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 …

Bifurcating cognitive attention from visual concentration: utilizing cooperative audiovisual sensing for demarcating inattentive online meeting participants

P Kar, S Chattopadhyay, S Chakraborty - Proceedings of the ACM on …, 2022 - dl.acm.org
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 …

Automatic frustration detection using thermal imaging

Y Mohamed, G Ballardini, MT Parreira… - 2022 17th ACM/IEEE …, 2022 - ieeexplore.ieee.org
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 …

Mindfulness in face recognition: Embedding mindfulness instructions in the face‐composite construction process

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 …

I Cannot See Students Focusing on My Presentation; Are They Following Me? Continuous Monitoring of Student Engagement through “Stungage”

S Das, S Chakraborty, B Mitra - … of the 30th ACM Conference on User …, 2022 - dl.acm.org
Monitoring students' engagement and understanding their learning pace in a virtual
classroom becomes challenging in the absence of direct eye contact between the students …

Attentional features of mindfulness are better predictors of face recognition than empathy and compassion-based constructs

K Giannou, K Lander, JR Taylor - Psychological Reports, 2023 - journals.sagepub.com
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 …

” Mirror, Mirror, on the Wall”-Promoting Self-Regulated Learning using Affective States Recognition via Facial Movements

S Chen, Y Liu, R Lu, Y Zhou, YC Lee… - Proceedings of the 2022 …, 2022 - dl.acm.org
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 …