[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations

SK Khare, V Blanes-Vidal, ES Nadimi, UR Acharya - Information fusion, 2024 - Elsevier
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Emotion contagion in agent-based simulations of crowds: a systematic review

ES Van Haeringen, C Gerritsen, KV Hindriks - Autonomous Agents and …, 2023 - Springer
Emotions are known to spread among people, a process known as emotion contagion. Both
positive and negative emotions are believed to be contagious, but the mass spread of …

In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing

K Woodward, E Kanjo, DJ Brown, TM McGinnity… - Personal and Ubiquitous …, 2023 - Springer
Involving and engaging people with intellectual disabilities on issues relating to their mental
wellbeing is essential if relevant tools and solutions are to be developed. This research …

Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities

K Ji, D Spina, D Hettiachchi, FD Salim… - Proceedings of the 46th …, 2023 - dl.acm.org
Physiological signals can potentially be applied as objective measures to understand the
behavior and engagement of users interacting with information access systems. However …

ECG-Coupled Multimodal Approach for Stress Detection

M Libman, G Mohammadi - Proceedings of the 4th on Multimodal …, 2023 - dl.acm.org
Psychological stress undoubtedly impacts the lives of many people on a regular basis, and it
is, therefore, necessary to have systems capable of adequately identifying the level of stress …

Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming

D Potts, Z Broad, T Sehgal, J Hartley, E O'Neill… - Proceedings of the CHI …, 2024 - dl.acm.org
There is great potential for adapting Virtual Reality (VR) exergames based on a user's
affective state. However, physical activity and VR interfere with physiological sensors …

Investigation of different ML approaches in classification of emotions induced by acute stress

H Sourkatti, K Pettersson, B Van der Sanden… - Heliyon, 2024 - cell.com
Background Machine learning is becoming a common tool in monitoring emotion. However,
methodological studies of the processing pipeline are scarce, especially ones using …

A wavelet-based approach for multimodal prediction of alexithymia from physiological signals

V Filippou, N Theodosiou, M Nicolaou… - … Publication of the 2022 …, 2022 - dl.acm.org
Alexithymia is a trait reflecting a person's difficulty in identifying and expressing their
emotions that has been linked to various forms of psychopathology. The identification of …

Smartphone-based content annotation for ground truth collection in affective computing

GFD Salvador, PJ Bota, V Vinayagamoorthy… - Proceedings of the …, 2021 - dl.acm.org
This paper presents a real-time emotion-annotation tool using a personal mobile device. To
this end, an application based on the Valence-Arousal model was developed, following two …

Correlation Between Heart Rate, Skin Temperature and Emotional State in Exergames

FT Bruns, F Wallhoff - Proceedings of Mensch und Computer 2022, 2022 - dl.acm.org
Computer games have become an established medium, exergames are a special type of
game. These are controlled by movement and are designed to improve its users …