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An Ontology for Emotions for Decision Making & Modelling of a Corresponding Decision Making Process

Bachelor or Master

It is known that many human decisions are driven by emotions.
Some ontologies describing emotions exist, but there are no ontologies formalizing emotions specifically relevant for decision making processes, and also no semantic models covering such emotions, inter-dependencies between them, as well as decision making process models and implementations exist.
The latter would improve automation of decision making, as well software aiming at the user behavioural change (e.g. in the fields of marketing, learning, adoption of good habits), as well as empower social robots, agents and personal assistants.
The work would involve a survey of literature, - from the fields of computer science, psychology, marketing, neurosciences, also possible is image analysis e.g. from neurosciences, and/or sensor processing from Brain Computer Interfaces (BCIs). And then subsequent identification of the emotions, their semantic modelling & encoding of the decision making process that takes emotions into consideration should be performed.
The result can be tested in some scenario(s) involving an interaction with the end user e.g. in an interaction with a chatbot, marketing or sales dialog scenario.




1. EmotionML: https://www.w3.org/TR/emotionml/ and its semantic version



2. Hastie, R., & Dawes, R. M. (2010). Rational choice in an uncertain world: The psychology of judgment and decision making. Sage.
URI: https://books.google.at/books?hl=de&lr=&id=w_fYZZPcgpkC&oi=fnd&pg=PP1#v=onepage&q&f=false


3. Chatbot technology, ONLIM: https://onlim.com

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