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Psychology

D-Index
34
Citations
4115
World Ranking
10284
National Ranking
5400

Overview

Caitlin Mills is affiliated with the University of Minnesota in the United States. Their research primarily spans the fields of neuroscience and psychology, with a significant focus on cognitive neuroscience and experimental and cognitive psychology. Additional subfields of interest include clinical psychology, developmental and educational psychology, and applied psychology.

Their scholarly work addresses several main topics, especially mind wandering and attention, which is a prominent area covered in many publications. Other key topics include neural and behavioral psychology studies, sleep and wakefulness research, anxiety, depression, psychometrics, treatment, cognitive processes, EEG and brain-computer interfaces, mental health research topics, and creativity in education and neuroscience.

Frequent venues for publishing their research include Technology Mind and Behavior, Psychological Research, Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), and Scientific Reports.

They have collaborated notably with several coauthors such as Julia W. Y. Kam, Laura K. Allen, Kalina Christoff, Ryan S. Baker, and Stephen Hutt.

Notable recent papers authored or coauthored by Caitlin Mills are:

  • "Updating the dynamic framework of thought: Creativity and psychedelics," 2020, NeuroImage
  • "Distinct electrophysiological signatures of task-unrelated and dynamic thoughts," 2021, Proceedings of the National Academy of Sciences
  • "Eye-Mind reader: an intelligent reading interface that promotes long-term comprehension by detecting and responding to mind wandering," 2020, Human-Computer Interaction
  • "Detection of mind wandering using EEG: Within and across individuals," 2021, PLoS ONE
  • "Webcam-based eye tracking to detect mind wandering and comprehension errors," 2023, Behavior Research Methods

Best Publications

  • Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks.

    Matthew L. Dixon;Alejandro De La Vega;Caitlin Mills;Jessica Andrews-Hanna

  • Interactions between the default network and dorsal attention network vary across default subsystems, time, and cognitive states.

    Matthew L. Dixon;Jessica R. Andrews-Hanna;R. Nathan Spreng;Zachary C. Irving

  • How do we model learning at scale?: A systematic review of research on MOOCs

    Srećko Joksimović;Oleksandra Poquet;Vitomir Kovanović;Nia Dowell

  • The knowns and unknowns of boredom: a review of the literature

    Quentin Raffaelli;Caitlin Mills;Kalina Christoff

  • Is an off-task mind a freely-moving mind? Examining the relationship between different dimensions of thought.

    Caitlin Mills;Quentin Raffaelli;Zachary C. Irving;Dylan Stan

  • On the Validity of the Autobiographical Emotional Memory Task for Emotion Induction

    Caitlin Mills;Sidney D'Mello

  • Mind-Wandering as a Scientific Concept: Cutting through the Definitional Haze.

    Kalina Christoff;Caitlin Mills;Jessica R. Andrews-Hanna;Zachary C. Irving

  • Updating the dynamic framework of thought: Creativity and psychedelics.

    Manesh Girn;Caitlin Mills;Leor Roseman;Robin L. Carhart-Harris

  • Disengagement during lectures: Media multitasking and mind wandering in university classrooms

    Jeffrey D. Wammes;Brandon C.W. Ralph;Caitlin Mills;Nigel Bosch

  • What Emotions Do Novices Experience during Their First Computer Programming Learning Session

    Nigel Bosch;Sidney K. D'Mello;Caitlin Mills

  • Automated gaze-based mind wandering detection during computerized learning in classrooms

    Stephen Hutt;Kristina Krasich;Caitlin Mills;Nigel Bosch

  • Instructor presence effect: Liking does not always lead to learning

    Kristin E. Wilson;Mark Martinez;Caitlin Mills;Sidney D'Mello

  • The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System.

    Stephen Hutt;Caitlin Mills;Shelby White;Patrick J. Donnelly

  • Inducing and Tracking Confusion with Contradictions during Complex Learning

    Blair Lehman;Sidney D'Mello;Amber Strain;Caitlin Mills

  • Influencing the occurrence of mind wandering while reading

    Kristopher Kopp;Sidney D’Mello;Caitlin Mills

  • "Out of the Fr-Eye-ing Pan": Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom

    Stephen Hutt;Caitlin Mills;Nigel Bosch;Kristina Krasich

  • Affective neuroscience of self-generated thought

    Kieran C.R. Fox;Kieran C.R. Fox;Jessica R. Andrews-Hanna;Caitlin Mills;Matthew L. Dixon;Matthew L. Dixon

  • Distinct electrophysiological signatures of task-unrelated and dynamic thoughts.

    Julia W Y Kam;Julia W Y Kam;Zachary C Irving;Caitlin Mills;Shawn Patel

  • Put your thinking cap on: detecting cognitive load using EEG during learning

    Caitlin Mills;Igor Fridman;Walid Soussou;Disha Waghray

  • Eye-Mind reader: an intelligent reading interface that promotes long-term comprehension by detecting and responding to mind wandering

    Caitlin Mills;Julie M. Gregg;Robert Bixler;Sidney K. D'Mello

Frequent Co-Authors

Sidney K. D'Mello
Sidney K. D'Mello University of Colorado Boulder
Kalina Christoff
Kalina Christoff University of British Columbia
Jessica R. Andrews-Hanna
Jessica R. Andrews-Hanna University of Arizona
Arthur C. Graesser
Arthur C. Graesser University of Memphis
Daniel Smilek
Daniel Smilek University of Waterloo
Evan F. Risko
Evan F. Risko University of Waterloo
James R. Brockmole
James R. Brockmole University of Notre Dame
R. Nathan Spreng
R. Nathan Spreng McGill University
Evan Thompson
Evan Thompson University of British Columbia
Paul Seli
Paul Seli Duke University

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