Bode, Stefan (2017). Uncovering contextual biases in human decision-making. A multivariate analysis approach for patterns of functional magnetic resonance imaging data and event-related potentials. Professorial thesis, Universität zu Köln.

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Decision-making is a fundamental aspect of human cognition and behaviour. Every day, we make a multitude of decisions, ranging from rather simple perceptual choices to complex financial decisions. The underlying cognitive and neural mechanisms appear to directly deploy external information, gathered by our senses, as well as internal information, such as preferences and beliefs. Ideally, this results in well-informed decisions and successful goal-directed behaviour. In reality, however, we are often faced with decision situations in which we do not have clear preferences, or access to all information. In these situations, contextual factors appear to have a strong influence on decision-makers. This work highlights recent research supporting the hypothesis that contextual information can exert significant biases on a variety of decision processes outside decision-makers’ awareness. These studies further exemplify a content-based cognitive neuroscience approach to human decision-making research, building on multivariate analysis techniques for brain imaging data to directly predict the content of decision outcomes and other decision-related variables from brain activity.

Item Type: Thesis (Professorial thesis)
CreatorsEmailORCIDORCID Put Code
URN: urn:nbn:de:hbz:38-77125
Date: 20 July 2017
Language: English
Faculty: Faculty of Human Sciences
Divisions: Faculty of Human Sciences > Department Psychologie
Subjects: Psychology
Natural sciences and mathematics
Uncontrolled Keywords:
functional magnetic resonance imagingEnglish
event-related potentialsEnglish
multivariate pattern classification analysisEnglish
decision biasesEnglish
voluntary decisionsEnglish
decision errorsEnglish
Date of oral exam: 19 July 2017
NameAcademic Title
Stahl, JuttaProf. Dr.
Haider, HildeProf. Dr.
Reurter, MartinProf. Dr.
Refereed: Yes


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