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Rekhi Center of Excellence for the Science of Happiness

Science of Happiness || Human-Computer Interaction (HCI) || Emotional Responses and Recognition

Brain-Computer Interface (BCI) || Cognitive Load and Attention Span Measurement

Marketing, User Engagement, and Consumer Behavior || Human-Robot Interaction (HRI)

Embedded AI & Large Language Models from Affective Computing Perspective

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Research Domains

  • Science of Happiness: Exploring the practical, and powerful, “habits of happy people” that have been uncovered by the social and natural sciences.

  • Human-Computer Interaction (HCI): Studying how users interact with computer interfaces to aid in designing more intuitive systems.

  • Emotional Responses and Recognition: Measuring physiological arousal linked to stress, anxiety, emotional reactions, and recognition of emotion.

  • Brain-Computer Interface (BCI): Developing systems that allow direct communication between the brain and external devices, correlating brain wave patterns with different cognitive and emotional states.

  • Cognitive Load and Attention Span Measurement: Studying brain wave patterns to correlate with different cognitive and attention states, and to measure/classify them.

  • Marketing, User Engagement, and Consumer Behavior: Studying how consumers view advertisements and packaging, influencing design and placement strategies, and measuring user engagement.

  • Human-Robot Interaction (HRI): Studying and developing systems that can recognize, interpret, and respond to human emotions to improve interaction between humans and robots.

  • Embedded AI & Large Language Models (LLMs) from Affective Computing Perspective: Integrating AI and LLMs into embedded systems to recognize, interpret, and respond to human emotions, enhancing the interaction between humans and technology.

Collaborations

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