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Symbiotic Self-Developing Information Visualization Systems

Financement: European Commission > European Innovation Council Pathfinder
Date de début: 1 avril 2022
Date de fin: 31 mars 2025


The latest neuroscience evidence suggests that emotions areessential not only to dealing effectively with social-emotionalinteractions, but they also perform important regulatory and helpfulbiasing functions within the body and the brain, aiding in rationaldecision-making and perception. However, developing empathic machines,equipped with emotion sensing and expressing capabilities has been anout-of-reach vision only realized in science fiction novels and moviesalike. The project SYMBIOSIS will achieve the real breakthroughs neededto bring emotional intelligence for critical decision-making tasks ininformation visualization. We will quantify accurate information fromuser's behavioral signals and use those to reason and detect theaffective tone of the user's context. Equipped with this information,we will bring context sensing capabilities to informationvisualization, which will allow users to react to critical inputs andwill factor in affective reasoning and decision-making processes.The project will cover to practical use cases: (1) supporting the so-called Novice-to-Expert transition and (2) enabling human-centricperception analysis for situation- and time-sensitive tasks. Regarding(1), we will develop develop a neuro-physiological feedback loop todetermine how different types of users interact with dashboard controlsand how changes in visual design can affect performance and decisionmaking in the above-mentioned situation- and time-sensitive contexts.The psychological understanding of this transition will inform thedesign of interventions that aid users in becoming experts faster,e.g., by understanding a large number of important visual primitivesincluding graphical layouts and visual features. Regarding (2), we willplace Human Information Processing under extensive scrutiny, usingexperimental psychology and cognitive neuroscience as the mainframework for measuring aspects like attention (e.g., reaction times,eye tracking) and reasoning (e.g., neurophysiological changes inusers). This will allow machines to determine the specific useconditions that allow for enhanced performance, smarter decisions, andquicker emergency response times around critical situations ininformation visualization.