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Caitlin Mills 0001

Caitlin Spencer Mills

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affiliation: University of Minnesota, Department of Educational Psychology, Minneapolis, MN, USA

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2020 – today

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2024
[j15]
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Vishal Kiran Kuvar, Jeremy N. Bailenson, Caitlin Mills:
A novel quantitative assessment of engagement in virtual reality: Task-unrelated thought is reduced compared to 2D videos. Comput. Educ. 209: 104959 (2024)
[c36]
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Nabil Al Nahin Ch, Jared Fortier, Christian P. Janssen, Orit Shaer, Caitlin Mills, Andrew L. Kun:
Text a Bit Longer or Drive Now? Resuming Driving after Texting in Conditionally Automated Cars. AutomotiveUI 2024: 13-22
[c35]
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Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills:
Open Science and Educational Data Mining: Which Practices Matter Most? EDM 2024
[c34]
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Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills:
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. LAK 2024: 55-65
[e1]
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Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt:
Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. CEUR Workshop Proceedings 3667, CEUR-WS.org 2024 [contents]
[i1]
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Nabil Al Nahin Ch, Jared Fortier, Christian P. Janssen, Orit Shaer, Caitlin Mills, Andrew L. Kun:
Text a Bit Longer or Drive Now? Resuming Driving after Texting in Conditionally Automated Cars. CoRR abs/2408.05286 (2024)
2023
[j14]
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Shane Dawson, Srecko Joksimovic, Caitlin Mills, Dragan Gasevic, George Siemens:
Advancing theory in the age of artificial intelligence. Br. J. Educ. Technol. 54(5): 1051-1056 (2023)
[j13]
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Alexander Colby, Aaron Y. Wong, Laura K. Allen, Andrew L. Kun, Caitlin Mills:
Perceived Group Identity Alters Task-Unrelated Thought and Attentional Divergence During Conversations. Cogn. Sci. 47(1) (2023)
[j12]
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Anne M. Cleary, Zachary C. Irving, Caitlin Mills:
What Flips Attention? Cogn. Sci. 47(4) (2023)
[j11]
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Nabil Al Nahin Ch, Alberta A. Ansah, Atefeh Katrahmani, Julia Burmeister, Andrew L. Kun, Caitlin Mills, Orit Shaer, John D. Lee:
Virtual nature experiences and mindfulness practices while working from home during COVID-19: Effects on stress, focus, and creativity. Int. J. Hum. Comput. Stud. 171: 102982 (2023)
[j10]
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Vishal Kiran Kuvar, Nathaniel Blanchard, Alexander Colby, Laura K. Allen, Caitlin Mills:
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis. User Model. User Adapt. Interact. 33(3): 617-641 (2023)
[j9]
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Rosy Southwell, Caitlin Mills, Megan Caruso, Sidney K. D'Mello:
Gaze-based predictive models of deep reading comprehension. User Model. User Adapt. Interact. 33(3): 687-725 (2023)
[c33]
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Vishal Kiran Kuvar, Lauren E. Flynn, Laura K. Allen, Caitlin Mills:
Partner Keystrokes can Predict Attentional States during Chat-based Conversations. EDM 2023
[c32]
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Vishal Kiran Kuvar, Julia W. Y. Kam, Stephen Hutt, Caitlin Mills:
Detecting When the Mind Wanders Off Task in Real-time: An Overview and Systematic Review. ICMI 2023: 163-173
[c31]
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Aaron Y. Wong, Richard L. Bryck, Ryan S. Baker, Stephen Hutt, Caitlin Mills:
Using a Webcam Based Eye-tracker to Understand Students' Thought Patterns and Reading Behaviors in Neurodivergent Classrooms. LAK 2023: 453-463
2022
[c30]
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Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman, Tyron Young:
Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. EDM 2022
[c29]
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Heeryung Choi, Caitlin Mills, Christopher Brooks, Stephen Doherty, Anjali Singh:
Design Recommendations for Using Textual Aids in Data-Science Programming Courses. SIGCSE (1) 2022: 843-849
2021
[j8]
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Caitlin Mills, Julie M. Gregg, Robert Bixler, Sidney K. D'Mello:
Eye-Mind reader: an intelligent reading interface that promotes long-term comprehension by detecting and responding to mind wandering. Hum. Comput. Interact. 36(4): 306-332 (2021)
[j7]
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Sidney K. D'Mello, Caitlin Spencer Mills:
Mind wandering during reading: An interdisciplinary and integrative review of psychological, computing, and intervention research and theory. Lang. Linguistics Compass 15(4) (2021)
[c28]
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Divyabharathi Nagaraju, Alberta Ansah, Nabil Al Nahin Ch, Caitlin Mills, Christian P. Janssen, Orit Shaer, Andrew L. Kun:
How Will Drivers Take Back Control in Automated Vehicles? A Driving Simulator Test of an Interleaving Framework. AutomotiveUI 2021: 20-27
2020
[j6]
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Manesh Girn, Caitlin Mills, Leor Roseman, Robin L. Carhart-Harris, Kalina Christoff:
Updating the dynamic framework of thought: Creativity and psychedelics. NeuroImage 213: 116726 (2020)
[c27]
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Ian Gliser, Caitlin Mills, Nigel Bosch, Shelby Smith, Daniel Smilek, Jeffrey D. Wammes:
The Sound of Inattention: Predicting Mind Wandering with Automatically Derived Features of Instructor Speech. AIED (1) 2020: 204-215
[c26]
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Niveta Ramkumar, Vijay H. Kothari, Caitlin Mills, Ross Koppel, Jim Blythe, Sean W. Smith, Andrew L. Kun:
Eyes on URLs: Relating Visual Behavior to Safety Decisions. ETRA 2020: 19:1-19:10
[c25]
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  - conf/tabletop/AnsahMSK20
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Alberta Ansah, Caitlin Mills, Orit Shaer, Andrew L. Kun:
Towards Computational Identification of Visual Attention on Interactive Tabletops. ISS Companion 2020: 37-40

2010 – 2019

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2019
[j5]
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Jeffrey D. Wammes, Brandon C. W. Ralph, Caitlin Mills, Nigel Bosch, Tracy L. Duncan, Daniel Smilek:
Disengagement during lectures: Media multitasking and mind wandering in university classrooms. Comput. Educ. 132: 76-89 (2019)
[j4]
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Stephen Hutt, Kristina Krasich, Caitlin Mills, Nigel Bosch, Shelby White, James R. Brockmole, Sidney K. D'Mello:
Automated gaze-based mind wandering detection during computerized learning in classrooms. User Model. User Adapt. Interact. 29(4): 821-867 (2019)
[c24]
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Caitlin Mills, Nigel Bosch, Kristina Krasich, Sidney K. D'Mello:
Reducing Mind-Wandering During Vicarious Learning from an Intelligent Tutoring System. AIED (1) 2019: 296-307
[c23]
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Laura K. Allen, Caitlin Mills, Cecile A. Perret, Danielle S. McNamara:
Are You Talking to Me?: Multi-Dimensional Language Analysis of Explanations during Reading. LAK 2019: 116-120
[c22]
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Trish L. Varao-Sousa, Caitlin Mills, Alan Kingstone:
Where You Are, Not What You See: The Impact of Learning Environment on Mind Wandering and Material Retention. LAK 2019: 421-425
2018
[j3]
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Kristin E. Wilson, Mark Martinez, Caitlin Mills, Sidney D'Mello, Daniel Smilek, Evan F. Risko:
Instructor presence effect: Liking does not always lead to learning. Comput. Educ. 122: 205-220 (2018)
[c21]
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Nigel Bosch, Caitlin Mills, Jeffrey D. Wammes, Daniel Smilek:
Quantifying Classroom Instructor Dynamics with Computer Vision. AIED (1) 2018: 30-42
[c20]
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Kristina Krasich, Stephen Hutt, Caitlin Mills, Catherine A. Spann, James R. Brockmole, Sidney K. D'Mello:
"Mind" TS: Testing a Brief Mindfulness Intervention with an Intelligent Tutoring System. AIED (2) 2018: 176-181
2017
[j2]
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Matthew L. Dixon, Jessica R. Andrews-Hanna, R. Nathan Spreng, Zachary C. Irving, Caitlin Mills, Manesh Girn, Kalina Christoff:
Interactions between the default network and dorsal attention network vary across default subsystems, time, and cognitive states. NeuroImage 147: 632-649 (2017)
[c19]
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Sidney K. D'Mello, Caitlin Mills, Robert Bixler, Nigel Bosch:
Zone out no more: Mitigating mind wandering during computerized reading. EDM 2017
[c18]
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Manesh Girn, Caitlin Mills, Eric Laycock, Melissa Ellamil, Lawrence M. Ward, Kalina Christoff:
Neural Dynamics of Spontaneous Thought: An Electroencephalographic Study. HCI (14) 2017: 28-44
[c17]
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Caitlin Mills, Igor Fridman, Walid Soussou, Disha Waghray, Andrew McGregor Olney, Sidney K. D'Mello:
Put your thinking cap on: detecting cognitive load using EEG during learning. LAK 2017: 80-89
[c16]
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Stephen Hutt, Caitlin Mills, Nigel Bosch, Kristina Krasich, James R. Brockmole, Sidney K. D'Mello:
"Out of the Fr-Eye-ing Pan": Towards Gaze-Based Models of Attention during Learning with Technology in the Classroom. UMAP 2017: 94-103
2016
[c15]
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Sidney D'Mello, Kris Kopp, Caitlin Mills:
Mind Wandering during Film Comprehension: The Role of Prior Knowledge and Situational Interest. CogSci 2016
[c14]
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Myrthe Faber, Caitlin Mills, Kristopher Kopp, Sidney D'Mello:
The effect of disfluency on mind wandering during text comprehension. CogSci 2016
[c13]
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Caitlin Mills, Robert Bixler, Xinyi Wang, Sidney K. D'Mello:
Automatic Gaze-Based Detection of Mind Wandering during Film Viewing. EDM 2016: 30-37
[c12]
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Stephen Hutt, Caitlin Mills, Shelby White, Patrick J. Donnelly, Sidney K. D'Mello:
The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System. EDM 2016: 86-93
[c11]
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Laura K. Allen, Caitlin Mills, Matthew E. Jacovina, Scott A. Crossley, Sidney K. D'Mello, Danielle S. McNamara:
Investigating boredom and engagement during writing using multiple sources of information: the essay, the writer, and keystrokes. LAK 2016: 114-123
2015
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Caitlin Mills, Sidney K. D'Mello, Nigel Bosch, Andrew McGregor Olney:
Mind Wandering During Learning with an Intelligent Tutoring System. AIED 2015: 267-276
[c9]
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Caitlin Mills, Sidney K. D'Mello:
Toward a Real-time (Day) Dreamcatcher: Detecting Mind Wandering Episodes During Online Reading. EDM 2015: 69-76
2014
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Caitlin Mills, Nigel Bosch, Arthur C. Graesser, Sidney K. D'Mello:
To Quit or Not to Quit: Predicting Future Behavioral Disengagement from Reading Patterns. Intelligent Tutoring Systems 2014: 19-28
2013
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Blair Lehman, Sidney K. D'Mello, Amber Chauncey Strain, Caitlin Mills, Melissa R. Gross, Allyson Dobbins, Patricia S. Wallace, Keith K. Millis, Arthur C. Graesser:
Inducing and Tracking Confusion with Contradictions during Complex Learning. Int. J. Artif. Intell. Educ. 22(1-2): 85-105 (2013)
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Nigel Bosch, Sidney K. D'Mello, Caitlin Mills:
What Emotions Do Novices Experience during Their First Computer Programming Learning Session? AIED 2013: 11-20
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Caitlin Mills, Sidney K. D'Mello, Blair Lehman, Nigel Bosch, Amber Chauncey Strain, Arthur C. Graesser:
What Makes Learning Fun? Exploring the Influence of Choice and Difficulty on Mind Wandering and Engagement during Learning. AIED 2013: 71-80
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Caitlin Mills, Sidney K. D'Mello:
Sorry, I Must Have Zoned Out: Tracking Mind Wandering Episodes in an Interactive Learning Environment. AIED 2013: 896-899
[c4]
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Caitlin Spencer Mills, Sidney K. D'Mello:
Emotions During Writing about Socially-Charged Issues: Effects of the (Mis)Alignment of Personal Positions with Instructed Positions. FLAIRS 2013
2012
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Blair Lehman, Caitlin Mills, Sidney K. D'Mello, Arthur C. Graesser:
Automatic Evaluation of Learner Self-Explanations and Erroneous Responses for Dialogue-Based ITSs. ITS 2012: 541-550
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Caitlin Mills, Sidney K. D'Mello:
Emotions during Writing on Topics That Align or Misalign with Personal Beliefs. ITS 2012: 638-639
2011
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Nia Dowell, Sidney K. D'Mello, Caitlin Mills, Arthur C. Graesser:
Does Topic Matter? Topic Influences on Linguistic and Rubric-Based Evaluation of Writing. AIED 2011: 450-452

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