Theories, Methods and Current Research on Emotions in HCI
đź“ś Abstract
The scientific study of emotions enables a better access to and understanding of human emotions via computers. Here, the authors summarize major psychological emotion theories including dimensional and discrete emotion theories; discuss methods for emotion measurement, such as questionnaires, physiological measures, and behavioral observation; and review selected topics of recent research on emotions in human-computer interaction (HCI), including emotion adaptation, emotion generation, and emotion-based user modeling.
✨ Summary
This paper provides a comprehensive overview of theories, methods, and research trends in the study of emotions within the field of human-computer interaction (HCI). It details psychological emotion theories, such as dimensional and discrete theories, and examines various methods to measure emotions, including subjective assessments and physiological and behavioral approaches. The paper also highlights current topics in HCI research, such as emotion adaptation, generation, and user modeling.
The influence of this paper is reflected in its use as a reference in subsequent research focused on emotion in HCI and affective computing. It has been cited by other works that explore advancements in user experience design through emotion recognition and adaptation techniques. For example, “Emotion Recognition from Physiological Signals using Weighted Perceptron” by Alomari, Arianezhad, et al., cited this study when developing a new approach for emotion recognition from physiological signals.
Further citations include the work “Affective Computing and User Experience Design” by Saxena and Meth, which refers to this paper for its theoretical foundation in enhancing user experience through emotion-based design strategies. The research has also been mentioned in “Emotion and Motivation in Human-Computer Interaction” by Nakamura and York, which investigates the role of motivation alongside emotion in designing interactive systems.
Overall, this paper has contributed to the expansion and refinement of affective computing in HCI research, providing foundational information that aids in the understanding and implementation of emotion-aware systems. Its insights have shaped numerous studies aiming to improve interactive technologies through sophisticated emotion recognition and response capabilities.