Colleen M. Seifert
Engineering · Purdue University West Lafayette
Publications
172
Citations
8,682
Est. group size
~1
Recurring co-author estimate
Active years
41
Publishing since 1985
Colleen M. Seifert studies human cognition as it applies to design, creativity, and problem-solving, including how people experience insight and impasse while thinking, and how they interact with AI systems and interfaces. Her recent work spans topics like designing better human-AI collaboration tools, understanding diagnostic reasoning in medical settings, and examining how creative practices such as improvisational theater affect learning and well-being. This research blends cognitive psychology with practical applications in design, engineering education, and healthcare decision-making.
Publication output has fluctuated over the last decade, peaking around 2018 and 2020, dipping in 2021-2023, and rising again in 2024, suggesting an active but variable publication pace rather than steady linear growth.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Design Science: Why, What and How – Revisited
Design Science · 2025
- The Emergence of Insight
Cambridge University Press eBooks · 2024
- How Impasse Leads to Insight
Cambridge University Press eBooks · 2024
- Bridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMs
2024
- Causal Pattern Diagrams in Science Texts Support Explanation
Proceedings. · 2024
- Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfaces
arXiv (Cornell University) · 2023
- Reducing social anxiety and intolerance of uncertainty in adolescents with improvisational theater
The Arts in Psychotherapy · 2022
- Causal theory error in college students’ understanding of science studies
Cognitive Research Principles and Implications · 2022
- A scoping review of distributed cognition in acute care clinical decision-making
Diagnosis · 2022
- Solving Separation-of-Concerns Problems in Collaborative Design of Human-AI Systems through Leaky Abstractions
CHI Conference on Human Factors in Computing Systems · 2022
- Human-AI Guidelines in Practice: Leaky Abstractions as an Enabler in Collaborative Software Teams
arXiv (Cornell University) · 2022
- A Model of the “Guilty Knowledge Effect:" Dual Processes in Recognition”
2022
- ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract)
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence · 2022
- A case study of a conservation flagship species: the monarch butterfly
Biodiversity and Conservation · 2021
- Understanding diagnostic processes in emergency departments: a mixed methods case study protocol
BMJ Open · 2021
- International Journal of Technology and Design Education×4
- Iowa State University Digital Repository (Iowa State University)×3
- Diagnosis×3
- Design Studies×2
- Thinking Skills and Creativity×2
- Molly Goldstein
Engineering · Purdue University West Lafayette
- Shanna Daly
Engineering · Purdue University West Lafayette
- Hoa Vo
Engineering · Indiana University
- Nicholas Fila
Engineering · Purdue University West Lafayette
- Prakash Shukla
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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