Latent factor modeling of four schizotypy dimensions with theory of mind and empathy.

Preliminary evidence suggests that theory of mind and empathy relate differentially to factors of schizotypy. The current study assessed 686 undergraduate students and used structural equation modeling to examine links between a four-factor model of schizotypy with performance on measures of theory of mind (Reading the Mind in the Eyes Test [MIE]) and empathy (Interpersonal Reactivity Index [IRI]). Schizotypy was assessed using three self-report measures which were simultaneously entered into the model. Results revealed that the Negative factor of schizotypy showed a negative relationship with the Empathy factor, which was primarily driven by the Empathic Concern subscale of the IRI and the No Close Friends and Constricted Affect subscales of the Schizotypal Personality Questionnaire. These findings are consistent with a growing body of literature suggesting a relatively specific relationship between negative schizotypy and empathy, and are consistent with several previous studies that found no relationship between MIE performance and schizotypy.

Toward understanding social cues and signals in human-robot interaction: effects of robot gaze and proxemic behavior.

As robots are increasingly deployed in settings requiring social interaction, research is needed to examine the social signals perceived by humans when robots display certain social cues. In this paper, we report a study designed to examine how humans interpret social cues exhibited by robots. We first provide a brief overview of perspectives from social cognition in humans and how these processes are applicable to human-robot interaction (HRI). We then discuss the need to examine the relationship between social cues and signals as a function of the degree to which a robot is perceived as a socially present agent. We describe an experiment in which social cues were manipulated on an iRobot Ava(TM) mobile robotics platform in a hallway navigation scenario. Cues associated with the robot's proxemic behavior were found to significantly affect participant perceptions of the robot's social presence and emotional state while cues associated with the robot's gaze behavior were not found to be significant. Further, regardless of the proxemic behavior, participants attributed more social presence and emotional states to the robot over repeated interactions than when they first interacted with it. Generally, these results indicate the importance for HRI research to consider how social cues expressed by a robot can differentially affect perceptions of the robot's mental states and intentions. The discussion focuses on implications for the design of robotic systems and future directions for research on the relationship between social cues and signals.

TPL-KATS-card sort: a tool for assessing structural knowledge.

The study of how individuals organize knowledge has been a popular endeavor for several decades. As a result, techniques have been developed to assess how individuals represent and organize knowledge internally. Although several conceptual knowledge elicitation methods have been developed and used to assess the organization of knowledge, their use is often labor intensive and time consuming. Presented here is a software tool that was developed to reduce the problems associated with manually administering the conceptual knowledge elicitation technique, or card sorting. The TPL-KATS-card sort software not only simplifies the administration of the task, but also adds features to the card-sorting task such as media insertion, time stamping, and instructorless administration. In the present article, an introduction to the card-sorting technique is provided, the new software tool is described, and the advantages of the software are detailed.