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.

Rekhi Center of Excellence for the Science of Happiness

Research Domains

Collaborations

Rekhi Center
of Excellence for
the Science of Happiness