110 likes | 243 Vues
This project focuses on harnessing emotional intelligence in human-computer interaction (HCI) using various technologies such as eye tracking, EMG, and EEG. The research team, including experts in psychology and computer science, investigates how emotions are defined, measured, and integrated into computing systems to improve interactions. By implementing emotional processes, computers can exhibit more flexible, learnable, and emotionally responsive interfaces. This research aims to redefine efficiency and quality in user-computer interactions, ultimately enhancing user experience.
E N D
Veikko SurakkaUniversity of Tampere,Department of Computer Sciences HCI-group (eyetracking, EMG, EEG)Tampere University HospitalCNF-unit(EEG, fMRI) Emotional computer why and how?
People working with this project HCI-people • PsT Veikko Surakka • Fm Timo Partala • PsM Anne Aula • Fm Poika Isokoski • Psyk. yo Maria Jokiniemi • Psyk. yo Marko Illi Signal analysis people • Prof. Martti Juhola • Fil. yo Jouni Laakso
Contents • Introduction • What are emotions? • Perceptually intelligent machines • Affective Computing • About the measurement • Demonstrations and proposals for NIT-course
WHAT IS AN EMOTION? A reaction including following components • Brain activation • e.g. amygdala • Muscle activation • Face, voice • Emotional experience • Joy, sadness, etc. • Behavioral change • Approach/avoidance
EMOTIONS AFFECT SIGNIFICANTLY TO HUMAN • Information precessing • Memory • Thinking • Health • Interaction • ALTOGETHER TO HUMAN RATIONAL BEHAVIOR
AFFECTIVE COMPUTING, EMOTIONAL COMPUTER • Future generation flexible, learnable, and emotionally responsive user interfaces • These interfaces utilize, for example, ANS activation correlates (e.g. pupil size variation) and (e.g. electric brain potentials) of the user in connecting the user with the computer
AFFECTIVE COMPUTING • It is thought that by implementing emotional processes in HCI computers could be able to same kind of rational behavior than humans • Then the computer would be able to real interaction • The interaction would be more efficient and of much better quality
MEASUREMENT • Bioelectricity based measurement • Videotechnology based measurement • These can be measured in real time • These can also be analyzed almost in real time by the computer
Grass Model 115 8-channel Neurodata Acquisition System
ASL series 4000 eyetracking system Optiikka Ohjausyksikkö
Two proposals • To improve the quality and flexibility of a system in which a computer agent can be driven by biosignals --- Demo • The further development of a visual analysis tool needed in basic research --- Demo