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Towards Context-Aware Facial Emotion Reaction Database for Dyadic Interaction Settings
Emotion recognition is a significant issue in many sectors that use human emotion reactions as communication for marketing, technological equipment, or humanârobot interaction. The realistic facial behavior of social robots and artificial agents is still a challenge, limiting their emotional credibility in dyadic face-to-face situations with humans. One obstacle is the lack of appropriate training […] -
Clientsâ Facial Expressions of Self-Compassion, Self-Criticism, and Self-Protection in Emotion-Focused Therapy Videos
Clientsâ facial expressions allow psychotherapists to gather more information about clientsâ emotional processing. This study aims to examine and investigate the facial Action Units (AUs) of self-compassion, self-criticism, and self-protection within real Emotion-Focused Therapy (EFT) sessions. For this purpose, we used the facial analysis software iMotions. Twelve video sessions were selected for the analysis based […] -
Multimodal Approach to Measuring Cognitive Load Using Sternberg Memory and Input Diagrammatic Reasoning Tests
Results of a study of cognitive load using multimodal biometric techniques including electrocardiography, electroencephalography and galvanic skin response are presented in the paper. Thirty student volunteers took part in an experiment conducted on the iMotions integrated biometric platform in a laboratory setting. Two types of tests were employed as research stimuli, namely the Sternberg memory […] -
Does electricity consumption make happy? The emotional dimensions of time-scaled electricity consumption graphs for household appliances
Due to the current situation regarding climate change, smart home energy management systems help to provide an overview of a householdâs electricity consumption at appliance level by means of time-scaled visualizations. Such electricity consumption graphs need to be visually appealing to unleash potentials for a positive contribution to energy transition. Triggered emotions in particular play a […] -
The effect of the modality principle to support learning with virtual reality: An eye-tracking and electrodermal activity study
Virtual reality (VR) is considered a promising approach to support learning. An instructional design is essential to optimize cognitive processes. Studies show that VR has unique instructional and pedagogical requirements. To evaluate the effectiveness and applicability of the modality principle, which was previously validated in 2D classic multimedia, for learning with VR. The modality principle […] -
Cognitive behavioral therapy with adaptive virtual reality exposure vs. cognitive behavioral therapy with in vivo exposure in the treatment of social anxiety disorder
Social anxiety disorder (SAD) has a high prevalence and an early onset with recovery taking decades to occur. Current evidence supports the efficacy of cognitive behavioral therapy (CBT) with virtual reality (VR) exposure. However, the evidence is based on a sparse number of studies with predominantly small sample sizes. There is a need for more […] -
Virtual Reality imagesâ impact on cognition and affect in hotel promotions: Application of self-reported and psycho-physiological measures
The current study examines how two types of Virtual Reality (VR) hotel images impact cognition and affect when used for promotional purposes. The study employs psycho-physiological measurement tools along with a self-reported survey method to evaluate: (1) affective responses, (2) Cognitive Load, and (3) and attitudinal and behavioral intention responses that two types of VR […] -
Investigating the effectiveness of immersive VR skill training and its link to physiological arousal
This paper details the motivations, design, and analysis of a study using a fine motor skill training task in both VR and physical conditions. The objective of this between-subjects study was to (a) investigate the effectiveness of immersive virtual reality for training participants in the âbuzz-wireâ fine motor skill task compared to physical training and […] -
Start Making Sense: Identifying Behavioural Indicators When Things Go Wrong During Interaction with Artificial Agents
The findings from this study will allow artificial agents to be trained to understand characteristic human behaviour exhibited during communication, and how to respond to specific non-verbal cues and biometric feedback with appropriately human-like behaviour -
Evaluation of a motorised patient transfer device based on perceived workload, technology acceptance, and emotional states
The high prevalence of musculoskeletal disorders (MSDs) among healthcare workers is partly attributed to the low adoption of patient transfer assistive devices. This study aimed to evaluate the nursesâ perceived workload, technology acceptance, and emotional states during the use of the sliding board (SB) and mechanical intervention in the form of a Motorised Patient Transfer […]
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509 publications in all
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