Research interest

Affective physiometry in human-computer interaction (HCI). On one hand, the detection of human feelings based on physiological signals, on the other hand, creating and proving HCI-related concepts that use physiological signals. The feelings include various states of body and mind, such as emotions, stress, attention, focus and fatigue). To detect and measure all this, various physiometry or signals measured from the body, can be used: pulse, temperature, electric impulses of brain and muscles. Alternatively, the videos and audios of human behaviour can reveal how they feel: body language, facial expressions, tonality of speech.

I believe this field of research to provides practical perspective for robots and computers in growing even smarter. While many of the physiological sensors are inconvenient to wear and use of them is ethically sensitive, my research focuses on non-invasive methods of data collection in “soft” areas of HCI, such as computer-mediated communication (CMC), digital media and interactive arts. Application area includes social cues in CMC; and VR/XR experiences.

My current research problems are about interpretation of emotional experiences based on affective physiometry: 1)objectively interpreted and self reported experiences do not match sufficiently; 2)the scales of objectively interpreted experiences tend to be too diverse between individuals.

I believe, better knowledge about affective physiometry helps to solve these problems!