Unconscious Plagiarism and Artificial Intelligence
JADE DURKEE and MEGAN H. PAPESH, University of Massachusetts Lowell Fri. Nov 20, 6:00 - 7:30 Poster Session (Poster V-135) Cryptomnesia, or unconscious plagiarism, is a source memory error where individuals believe they created a new idea that was encountered previously. Although prior research suggests people are more likely to unconsciously plagiarize from non-human sources (e.g., computers), research exploring whether collaborative learning with artificial agents produces
Pupillometric Signatures of Exploration and Exploitation:Effects of Task Difficulty and Reward
GIOVANNA C. DEL SORDO, New Mexico State University, MEGAN H. PAPESH, University of Massachusetts Lowell, MICHAEL C. HOUT, New Mexico State University Fri, Nov 20, 4:45-5:05 PM, Decision Making I Balancing exploration and exploitation is fundamental to adaptive decision-making, yet cleanly dissociating these states remains methodologically challenging. Using the Complex Card Matching Task, a rule-learning paradigm, two experiments examined how task difficulty and reward modula
Lineup Position Effect in Face Recognition: An Eye-Tracking Study
HOURIEH HAYATI and MEGAN H. PAPESH, University of Massachusetts Lowell Thu. Nov 19, 6:30 - 7:45 Poster Session (Poster I-140) The ability to identify a suspect from a lineup is cognitively complex, involving memory and decision processes. Witnesses must retrieve relevant facial features from memory and compare them to those in the lineup faces before making an identification (or rejecting the lineup entirely). In this study, participants completed a series of eye-tracked line

