Unseen and Unaware: Implications of Recent Research on Failures of Visual Awareness for Human-Computer Interface Design. - D. Alexander Varakin; Daniel T. Levin; Roger Fidler (Hum. Comput. Interact., 2004)

Segmenting action for computers and humans: possible links to intentional understanding. - Stephen S. Killingsworth; Megan M. Saylor; Daniel T. Levin (RO-MAN, 2005)

Thinking and seeing in intentional and mechanical systems. - Megan M. Saylor; Daniel T. Levin (RO-MAN, 2005)

Concepts about the capabilities of computers and robots: a test of the scope of adults' theory of mind. - Daniel T. Levin; Stephen S. Killingsworth; Megan M. Saylor (HRI, 2008)

Audience-Contingent Variation in Action Demonstrations for Humans and Computers. - Jonathan S. Herberg; Megan M. Saylor; Palis Ratanaswasd; Daniel T. Levin; D. Mitchell Wilkes (Cogn. Sci., 2008)

Distinguishing defaults and second-line conceptualization in reasoning about humans, robots, and computers. - Daniel T. Levin; Megan M. Saylor (HRI, 2009)

The Interaction of Children's Concepts about Agents and Their Ability to Use an Agent-Based Tutoring System. - Alicia M. Hymel; Daniel T. Levin; Jonathan Barrett; Megan M. Saylor; Gautam Biswas (HCI (4), 2011)

An intentional framework improves memory for a robot's actions. - Alicia M. Hymel; Daniel T. Levin (HRI, 2012)

Positive and Negative Learning Impacts from Technological Social Agents. - Jonathan S. Herberg; Daniel T. Levin; Martin Saerbeck (ICCE, 2012)

Distinguishing first-line defaults and second-line conceptualization in reasoning about humans, robots, and computers. - Daniel T. Levin; Megan M. Saylor; Simon D. Lynn (Int. J. Hum. Comput. Stud., 2012)

A transition model for cognitions about agency. - Daniel T. Levin; Julie A. Adams; Megan M. Saylor; Gautam Biswas (HRI, 2013)

Tests of Concepts About Different Kinds of Minds: Predictions About the Behavior of Computers, Robots, and People. - Daniel T. Levin; Stephen S. Killingsworth; Megan M. Saylor; Stephen M. Gordon; Kazuhiko Kawamura (Hum. Comput. Interact., 2013)

Cognitive dissonance as a measure of reactions to human-robot interaction. - Daniel T. Levin; Caroline E. Harriott; Natalie A. Paul; Tao Zhang 002; Julie A. Adams (J. Hum. Robot Interact., 2013)

If asimo thinks, does roomba feel?: the legal implications of attributing agency to technology. - Christopher Brett Jaeger; Daniel T. Levin (J. Hum. Robot Interact., 2016)

Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. - Ramkumar Rajendran; Anurag Kumar; Kelly E. Carter; Daniel T. Levin; Gautam Biswas (EDM, 2018)

The Incomplete Tyranny of Dynamic Stimuli: Gaze Similarity Predicts Response Similarity in Screen-Captured Instructional Videos. - Daniel T. Levin; Jorge A. Salas; Anna M. Wright; Adrianne E. Seiffert; Kelly E. Carter; Joshua W. Little (Cogn. Sci., 2021)

Prediction of Students' Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment. - Caleb Vatral; Madison Lee; Clayton Cohn; Eduardo Davalos; Daniel T. Levin; Gautam Biswas (AIED (Posters/Late Breaking Results/...), 2023)

Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs. - Eduardo Davalos; Caleb Vatral; Clayton Cohn; Joyce Horn Fonteles; Gautam Biswas; Naveeduddin Mohammed; Madison Lee; Daniel T. Levin (LAK, 2023)