Research

My current interests involve disruptive mobile health technologies for precision behavioral medicine to support healthy behavior. I also lead scientific and engineering research on information foraging theory, sensemaking and, more generally, the phenomena of human-information interaction.

Research Interests


Orr. M., Lebiere, C., Stocco, A., Pirolli P., Pires, B., & Kennedy, W.G. (2018). Multi-scale Resolution of Cognitive Architectures: A Paradigm for Simulating Minds and Society. In: Thomson R., Dancy C., Hyder A., Bisgin H. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2018. Lecture Notes in Computer Science, vol 10899. Springer. [BEST PAPER AWARD]

Zhang, Paik, 7 Pirolli (2014). Reinforcment learning and counterfactual reasoning explain adaptive behavior in a changing environment. Cognitive Science 2014. [APPLIED MODELING AWARD]

Pirolli & Kairam (2013). A knowledge-tracing model of learning from a social tagging system. UMUAI. [JAMES CHEN AWARD]

Canini, Suh, Pirolli (2011). Finding credible information sources in social networks based on content and socisl structure. SocialCom 2011 [BEST PAPER AWARD]

Pirolli & Fu (2003). SNIF-ACT: A model of information foraging on the World Wide Web. User Modeling 2003. [BEST PAPER AWARD]


Best Paper Awards

INTELLIGENT MOBILE  HEALTH


Springer A, Venkatakrishnan A, Mohan S, Nelson L, Silva M, Pirolli P

Leveraging Self-Affirmation to Improve Behavior Change: A Mobile Health App Experiment

JMIR Mhealth Uhealth 2018;6(7)


Pirolli P, Mohan S, Venkatakrishnan A, Nelson L, Silva M, Springer A

Implementation Intention and Reminder Effects on Behavior Change in a Mobile Health System: A Predictive Cognitive Model

J Med Internet Res 2017;19(11):e397


Hernandez, M., Sharit, J. Pirolli, P. & Czaja, S. (2017). Adapting Information Search Tools for use by Health Consumers: Challenges and Lessons for Software Designers. International Journal of Human Computer Interaction.


Mohan, S., Venkatakrishnan, A., Silva, M,. & Pirolli, P. (2017). On designing a social coach to promote regular aerobic exercise. IAAI 2017.


Pirolli, P. (2016). From good intentions to healthy habits: Towards integrated computational models of goal striving and habit formation. Annual International; Conference of the IEEE Engineering in Medicine and Biology Society.


Pirolli, P. (2016). A computational cognitive model of self-efficacy and daily adherence in mHealth. Translational behavioral medicine, 1-13.


Du, H., Venkatakrishnan, A., Youngblood, G. M., Ram, A., & Pirolli, P. (2016). A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR Mhealth Uhealth, 4(1),


Konrad, A., Bellotti, V., Crenshaw, N., Tucker, S., Nelson, L., Du, H., Pirolli,P., & Whittaker, S. (2015). Finding the Adaptive Sweet Spot: Balancing Compliance and Achievement in Automated Stress Reduction. Paper presented at the SIGCHI Conference on Human Factors in Computing Systems (CHI 2015), Seoul, Korea.


Du, Youngblood, & Pirolli. (2014). Efficacy of a smartphone system to support groups in behavior change programs. Wireless Health 2014.


COGNITIVE MODELS OF FORAGING AND SENSEMAKING


Paik, Zhang, & Pirolli (2014). Counterfactual reasoning as a key for explaining adaptive behavior in a changing environment. BICA 2014.

Lebiere et al. (2013). A functional model of sensemaking in a neuroscience architecture. Computational Intelligence and Neuroscience.

Paik, Pirolli, Dong, Lebiere, & Thomson (2013). An ACT-R model of sensemaking in geospatial intelligence tasks. BRIMS 2013

Fu & Pirolli (2007). SNIF-ACT: A cognitive model of user navigation on the World Wide Web


SOCIAL COMPUTATIONAL SYSTEMS


Vydiswaran, Zhai, Roth, & Pirolli (2014). Overcoming bias to learn about controversial topics. Journal of the American Society for Information Science and Technology

Mangel, Satterthwaite, Pirolli, Suh, & Zhang (2013). Invasion biology and the success of social collaboration networks, with application to Wikipedia. Israel Journal of Ecology and Evolution.     

Peng, Zhang, Pirolli, & Hogg. (2012) Thermodynamic principles in social collaborations Collective Intelligence.

Liao, Q. V., Pirolli, P., & Fu, W. (2012). An ACT-R model of credibility judgment of micro-blogging Web Pages. Proceedings of the International Conference on Cognitive Modeling (ICCM 2012) (pp. 103-108). Berlin, Germany: Universitätsverlag der TU Berlin.

Chen, J., & Pirolli, P. (2012). Why You Are More Engaged: Factors Influencing Twitter Engagement in Occupy Wall Street. International AAAI Conference on Weblogs and Social Media, ICWSM 2012

Vydiswaran, Zhai, Roth, & Pirolli (2012). Unbiased learning of controversial topics. ASIST 2012.

Shneiderman, Preece, & Pirolli. Realizing the value of social media requires innovative computing research. CACM

Suh, Hong, Pirolli, & Chi (2010). Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter. SocialCom 2010.






Fu & Pirolli (2013). Establishing the micro-to-macro link in cognitive engineering: Multi-level models of socio-computer engineering. Handbook of Cognitive Engineering

Pirolli (2007). Cognitive models of human-information interaction. Handbook of Applied Cognition (2nd Ed)

Pirolli (2007). Ch 1 of  Information Foraging Theory (uncorrected proof)

     


Recent Publications

Check out my book

     â€¢     More at Research Gate

Other Publications