Skip to main content

Anita Crescenzi

 

By

Anita Crescenzi

Research Assistant Professor, UNC School of Information and Library Science

Anita Crescenzi

Pronouns

She/Her/Hers

Phone

(919) 962-8366

Email

amcc@email.unc.edu

Office

Manning Hall - 306

Anita Crescenzi

Expertise

Interactive information retrieval, human-computer interaction, decision-making, research methods.

Education

BS (Secondary Education), University of Illinois at Urbana-Champaign
MS (Information Science), University of North Carolina at Chapel Hill
PhD (Information and Library Science), University of North Carolina at Chapel Hill

Biography

Anita Crescenzi, MSIS, Ph.D., is a research assistant professor with dual appointments in the UNC Eshelman School of Pharmacy (75%) and SILS (25%).

Her research is at the intersection of pharmacy, information-seeking and use, and human-computer interaction. She uses mixed methods to understand how, when, and why people seek and use information in support of their broader goals especially learning, decision-making, and problem-solving with a focus on pharmacy education and practice. She also designs and evaluates novel information tools and systems to provide better support for learning, problem-solving, and decision-making.

She teaches classes in research methods, human information interactions. She also has nine years of experience in user research, usability evaluation, and user experience design in the health insurance and medical library settings.

Courses

INLS 582 Research Methods Overview

Publications

Crescenzi, A., Ward, A., Li, Y., & Capra, R. (2021). Supporting metacognition during exploratory search with the OrgBox. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21), 1197- 1207. https://doi.org/10.1145/3404835.3462955.

Crescenzi, A., Capra, R., Choi, B., & Li, Y. (2021). Adaptation in information search and decision-making under time constraints. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’21). 95-105. https://doi.org/10.1145/3406522.3446030.

Arguello, J. & Crescenzi, A. (2019). Using Principal Component Analysis to better understand behavioral measures and their effects. Proceedings of the 2019 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR ’19). 177-184. https://doi.org/10.1145/3341981.3344222.

Crescenzi, A., Li, Y., Capra, R., & Zhang, Y. (2019). Towards better support for exploratory search through an investigation of notes-to-self and notes-to-share. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’19). 1093-1096. https://doi.org/10.1145/3331184.3331309.

Crescenzi, A., Capra, R., & Arguello, J. (2017). Time limits, information search, and the use of search assistance. Proceedings of the 2017 Conference on Human Information Interaction and Retrieval (CHIIR ’17). 349-352. https://doi.org/10.1145/3020165.3022150.

Crescenzi, A., Kelly, D., & Azzopardi, L. (2016). Impacts of time constraints and system delays on user experience. Proceedings of the 2016 Conference on Human Information Interaction and Retrieval (CHIIR ’16). 141-151. https://doi.org/10.1145/2854946.2854976.