Modelling insight: The case of the nine-dot problem. - Adrian Banks; Thomas C. Ormerod; Patrice Rusconi; Jim MacGregor 001 (CogSci, 2015)

Can Humans Detect the Authenticity of Social Media Accounts? On the Impact of Verbal and Non-Verbal Cues on Credibility Judgements of Twitter Profiles. - Christopher Sandy; Patrice Rusconi; Shujun Li (CYBCONF, 2017)

When Eye-Tracking Meets Cognitive Modeling: Applications to Cyber Security Systems. - Haiyue Yuan; Shujun Li; Patrice Rusconi; Nouf Aljaffan (HCI (22), 2017)

Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? - Saeed Ibrahim Alqahtani; Shujun Li; Haiyue Yuan; Patrice Rusconi (EAI Endorsed Trans. Security Safety, 2019)

Designing a mHealth clinical decision support system for Parkinson's disease: a theoretically grounded user needs approach. - Lada Timotijevic; C. E. Hodgkins; Adrian Banks; Patrice Rusconi; Bernadette Egan; M. Peacock; Ellen Seiss; M. M. L. Touray; Heather Gage; Clelia Pellicano; Gianfranco Spalletta; Francesca Assogna; et al. (BMC Medical Informatics Decis. Mak., 2020)

Cognitive Modeling for Automated Human Performance Evaluation at Scale - Haiyue Yuan; Shujun Li; Patrice Rusconi (Springer, 2020)

Moderators of Acquiescing to Intuition: Strength of Intuition, Task Characteristics and Individual Differences. - Cathy Gagnon; Adrian Banks; Patrice Rusconi (CogSci, 2021)

CogTool+: Modeling Human Performance at Large Scale. - Haiyue Yuan; Shujun Li; Patrice Rusconi (ACM Trans. Comput. Hum. Interact., 2021)

Conceptual recoding of new ideas during and after solution of an insight problem. - Thomas C. Ormerod; James N. MacGregor; Adrian Banks; Patrice Rusconi (CogSci, 2022)