The cognitive processing of spatial relations in Euclidean diagrams is central to the diagram-based geometric practice of Euclid's Elements. In this study, we investigate this processing through two dichotomies among spatial relations—metric vs topological and exact vs co-exact—introduced by Manders in his seminal epistemological analysis of Euclid's geometric practice. To this end, we carried out a two-part experiment where participants were asked to judge spatial relations in Euclidean diagrams in a visual half field task design. In the first part, we (...) tested whether the processing of metric vs topological relations yielded the same hemispheric specialization as the processing of coordinate vs categorical relations. In the second part, we investigated the specific performance patterns for the processing of five pairs of exact/co-exact relations, where stimuli for the co-exact relations were divided into three categories depending on their distance from the exact case. Regarding the processing of metric vs topological relations, hemispheric differences were found for only a few of the stimuli used, which may indicate that other processing mechanisms might be at play. Regarding the processing of exact vs co-exact relations, results show that the level of agreement among participants in judging co-exact relations decreases with the distance from the exact case, and this for the five pairs of exact/co-exact relations tested. The philosophical implications of these empirical findings for the epistemological analysis of Euclid's diagram-based geometric practice are spelled out and discussed. (shrink)

In the near future, robots will function in social roles and attempt to influence the user’s behavior and / or thinking. The current contribution analyses how to influence robot influence: Persuasive robots can be personalized to make them more effective. We present an overview of (1) the user characteristics to which persuasive robots can be personalized, (2) considering the specific current situation of a user; and (3) the robot characteristics that can be personalized. Thereby, we give an overview of how (...) the persuasive robot’s physical appearance, behavior, (perceived) cognition and affect can be influenced to characteristics of the user (personalized) in order to make the robot more persuasive and thereby to understand better how the persuasive power of an embodied artificial social entity can be influenced. (shrink)

ABSTRACTPrevious work on the contribution of family environments to adolescent emotion dysregulation has tended to focus on broad parenting characteristics ; however, it is possible that day-to-day variability in parenting may also relate to emotion dysregulation. The current study sought to test whether inconsistency in the quality of daily parent-youth interactions related to multiple indices of emotion dysregulation in adolescents. Two-hundred-twenty-two adolescents participated with one parent. Adolescents completed 14-days of diary reporting on the quality of interactions with their parent and (...) their emotion dysregulation experiences for each day. Analyses reveal that, beyond the effects of average interaction quality, adolescents with greater variability in the quality of their interactions with their parent reported greater average emotion dysregulation across the days of diary recording and demonstrated greater variability in thei... (shrink)

Modernism; influence; social and economic aspects; Arab countries; 21st century.

Persuasive social robots can influence human behavior through giving advice. The current study investigates whether references to prior discourse and signals of empathy make an advice-giving robot an even more effective persuader and whether participants follow the robot’s advice and drink even more water when the robot additionally uses these strategies. We recruited students and university staff for a lab-study in which three different robot personalities on the same robot type presented health-related information. In one condition, the robot gave advice (...) and referred to something mentioned earlier in the conversation (i.e., to dialog history), in another condition, the robot gave advice and used empathic signals, and in the third condition, the robot gave advice only. Our results show that participants drank significantly more when the advice-giving robot also used the persuasive strategies of empathy and references to dialog history than when the robot only gave advice. This study shows that both strategies increase the persuasiveness of the robot and makes it more influential. (shrink)