What is he best known for?
The fields of study he is best known for:
- Statistics
- Cognition
- Artificial intelligence
Peter Juslin spends much of his time researching Cognition, Overconfidence effect, General knowledge, Social psychology and Cognitive psychology.
His Cognition study frequently draws connections between related disciplines such as Artificial intelligence.
His Overconfidence effect research includes themes of Hard–easy effect, Cognitive bias, Ecological psychology and Econometrics.
The concepts of his General knowledge study are interwoven with issues in Calibration and Statistics.
His studies in Social psychology integrate themes in fields like Phenomenon and Perception.
His Cognitive psychology research includes elements of Abstraction and Memoria.
His most cited work include:
- Naive empiricism and dogmatism in confidence research: a critical examination of the hard-easy effect. (273 citations)
- The Overconfidence Phenomenon as a Consequence of Informal Experimenter-Guided Selection of Almanac Items (258 citations)
- Calibration and diagnosticity of confidence in eyewitness identification: Comments on what can be inferred from the low confidence-accuracy correlation (186 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cognition, Cognitive psychology, Social psychology, Statistics and Artificial intelligence.
His Cognition research is multidisciplinary, incorporating elements of Cognitive science, Overconfidence effect and Sensory system.
He works mostly in the field of Overconfidence effect, limiting it down to topics relating to General knowledge and, in certain cases, Realism, as a part of the same area of interest.
His Cognitive psychology study incorporates themes from Abstraction, Psychophysics, Perception and Categorization.
His Social psychology study combines topics in areas such as Contingency, Contrast, Phenomenon and Normative.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Heuristics.
He most often published in these fields:
- Cognition (33.97%)
- Cognitive psychology (33.33%)
- Social psychology (28.85%)
What were the highlights of his more recent work (between 2014-2021)?
- Social psychology (28.85%)
- Cognition (33.97%)
- Cognitive psychology (33.33%)
In recent papers he was focusing on the following fields of study:
Social psychology, Cognition, Cognitive psychology, Confirmation bias and Artificial intelligence are his primary areas of study.
In general Social psychology, his work in Affect is often linked to Efficient energy use linking many areas of study.
Peter Juslin studied Cognition and Perception that intersect with Developmental psychology.
His work deals with themes such as Preference and Personality, which intersect with Cognitive psychology.
He interconnects Jurisprudence and Debiasing in the investigation of issues within Confirmation bias.
His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence.
Between 2014 and 2021, his most popular works were:
- The presumption of guilt in suspect interrogations: Apprehension as a trigger of confirmation bias and debiasing techniques. (7 citations)
- Prospect evaluation as a function of numeracy and probability denominator. (7 citations)
- Preference or ability: Exploring the relations between risk preference, personality, and cognitive abilities (6 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Cognition
- Artificial intelligence
Peter Juslin mainly investigates Social psychology, Heuristics, Statistics, Cognition and Debiasing.
His work on Social psychology as part of general Social psychology research is frequently linked to Energy consumption, thereby connecting diverse disciplines of science.
His Heuristics study combines topics from a wide range of disciplines, such as Variety, Artificial intelligence, Machine learning and Probability theory.
His Cumulative prospect theory, Expected value, Predictive validity and Value study in the realm of Statistics interacts with subjects such as Numeracy.
His study in Cognition is interdisciplinary in nature, drawing from both Cognitive psychology, Preference, Personality and Normative.
His research in Debiasing intersects with topics in Interrogation, Jurisprudence, Criminology and Confirmation bias.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
