Research output per year
Research output per year
Personal profile
About
Dr. Shalin specializes in human workplace expertise and communication, and associated empirical and analytic methods to support the design and evaluation of coordinated work and workplace technology in: space exploration, medicine and surgery, disaster response, and manual labor. She is an active member of the Knowledge enabled computing (KNOESIS) Center of Excellence at Wright State.
Related documents
Education/Academic qualification
Cognitive Psychology, Ph.D., University of Pittsburgh
… → 1987
Cognitive Psychology, M.S., University of Pittsburgh
… → 1983
Psychobiology, B.S., University of Pittsburgh
… → 1978
Psychology, Université Bordeaux 1
… → 1975
External positions
Adjunct Faculty, University of South Carolina
2021 → …
Research Interests
- Human Workplace Expertise
- Human Workplace Communication
- Workplace Technology
Disciplines
- Social and Behavioral Sciences
- Psychology
- Cognitive Psychology
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Evaluating the Deductive Competence of Large Language Models
Seals, S. M. & Shalin, V. L., 2024, Long Papers. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 8606-8622 17 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Grounding From an AI and Cognitive Science Lens
Bajaj, G., Shalin, V. L., Parthasarathy, S. & Sheth, A., Mar 1 2024, In: IEEE Intelligent Systems. 39, 2, p. 66-71 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Why Do We Need Neurosymbolic AI to Model Pragmatic Analogies?
Wijesiriwardene, T., Sheth, A., Shalin, V. L. & Das, A., Sep 1 2023, In: IEEE Intelligent Systems. 38, 5, p. 12-16 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Defining and detecting toxicity on social media: context and knowledge are key
Sheth, A., Shalin, V. L. & Kursuncu, U., Jun 14 2022, In: Neurocomputing. 490, p. 312-318 7 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning
Pandey, R., Purohit, H., Castillo, C. & Shalin, V. L., Apr 2022, In: International Journal of Human Computer Studies. 160, 102772.Research output: Contribution to journal › Article › peer-review
Open Access