An Exploration of Social Cognitive Mechanisms, Gender, and Vocational Identity Among Eighth Graders

2009 ◽  
Vol 36 (2) ◽  
pp. 114-138 ◽  
Author(s):  
Amanda Macht Jantzer ◽  
Dimitrios J. Stalides ◽  
Patrick J. Rottinghaus
2007 ◽  
Author(s):  
F. Lucidi ◽  
A. Zelli ◽  
L. Mallia ◽  
C. Grano ◽  
C. Violani

Author(s):  
Rhyse Bendell ◽  
Jessica Williams ◽  
Stephen M. Fiore ◽  
Florian Jentsch

Artificial intelligence has been developed to perform all manner of tasks but has not gained capabilities to support social cognition. We suggest that teams comprised of both humans and artificially intelligent agents cannot achieve optimal team performance unless all teammates have the capacity to employ social-cognitive mechanisms. These form the foundation for generating inferences about their counterparts and enable execution of informed, appropriate behaviors. Social intelligence and its utilization are known to be vital components of human-human teaming processes due to their importance in guiding the recognition, interpretation, and use of the signals that humans naturally use to shape their exchanges. Although modern sensors and algorithms could allow AI to observe most social cues, signals, and other indicators, the approximation of human-to-human social interaction -based upon aggregation and modeling of such cues is currently beyond the capacity of potential AI teammates. Partially, this is because humans are notoriously variable. We describe an approach for measuring social-cognitive features to produce the raw information needed to create human agent profiles that can be operated upon by artificial intelligences.


2004 ◽  
Vol 27 (6) ◽  
pp. 741-741 ◽  
Author(s):  
Lee A. Kirkpatrick

Atran & Norenzayan (A&N) are correct that religion is an evolutionary by-product, not an adaptation, but they do not go far enough. Once supernatural beliefs are enabled by processes they describe, numerous social-cognitive mechanisms related to attachment, social exchange, coalitional psychology, status and dominance, and kinship are crucial for explaining the specific forms religion takes and individual and cultural differences therein.


2011 ◽  
Vol 14 (6) ◽  
pp. 887-899 ◽  
Author(s):  
Yina Ma ◽  
Shengmin Yang ◽  
Shihui Han

Perceptual mechanisms have been proposed for the categorization of racial faces. Social cognitive mechanisms involved in the categorization of racial faces, however, remain unclear. The present study investigated whether and how attitudes influence racial face categorization by measuring reaction times to judge orientations of own-race or other-race faces. Study 1 showed that, in a task of judging orientations of Caucasian and Asian faces, European Americans responded faster to own-race (Caucasian) faces than to other-race (Asian) faces. Study 2 showed that Han Chinese responded faster to own-race (Han Chinese) faces than to other-race (Uigur Chinese) faces. In addition, we found that, in both experiments, own-race advantage in reaction times was eliminated by inducing negative attitudes toward own-race faces using a negative association priming procedure. Moreover, the mediation analysis in Study 2 showed that the priming effect was mediated by attitude bias toward own-race faces. Our findings provide evidence for categorization of racial faces in a perceptual, race-irrelevant task, which, however, is strongly modulated by attitudes toward target faces.


2021 ◽  
Author(s):  
Serena Marchesi ◽  
Nicolas Spatola ◽  
Agnieszka Wykowska

Evidence from cognitive psychology showed that cultural differences influence human social cognition, leading to a different activation of social cognitive mechanisms. A growing corpus of literature in Human-Robot Interaction is investigating how culture shapes cognitive processes like anthropomorphism or mind attribution when humans face artificial agents, such as robots. The present paper aims at disentangling the relationship between cultural values, anthropomorphism, and intentionality attribution to robots, in the context of the intentional stance theory. We administered a battery of tests to 600 participants from various nations worldwide and modeled our data with a path model. Results showed a consistent direct influence of collectivism on anthropomorphism but not on the adoption of the intentional stance. Therefore, we further explored this result with a mediation analysis that revealed anthropomorphism as a true mediator between collectivism and the adoption of the intentional stance. We conclude that our findings extend previous literature by showing that the adoption of the intentional stance towards humanoid robots depends on anthropomorphic attribution in the context of cultural values.


2019 ◽  
Author(s):  
Elef Schellen ◽  
Agnieszka Wykowska

Natural and effective interaction with humanoid robots should involve social cognitive mechanisms of the human brain that normally facilitate social interaction between humans. Recent research has indicated that the presence and efficiency of these mechanisms in human-robot interaction (HRI) might be contingent on the adoption of a set of attitudes, mindsets and beliefs concerning the robot’s inner machinery. Current research is investigating the factors that influence these mindsets, and how they affect HRI. This review focuses on a specific mindset, namely the “intentional mindset” in which intentionality is attributed to another agent. More specifically, we focus on the concept of adopting the intentional stance towards robots, i.e., the tendency to predict and explain the robots’ behavior with reference to mental states. We discuss the relationship between adoption of intentional stance and lower-level mechanisms of social cognition, and we provide a critical evaluation of research methods currently employed in this field, highlighting common pitfalls in the measurement of attitudes and mindsets.


2019 ◽  
Vol 5 (4) ◽  
pp. 273-280 ◽  
Author(s):  
David Weiss ◽  
Mona Weiss

Abstract The term subjective age bias describes the phenomenon that from adolescence to old age most people feel significantly younger or older than their chronological age. Although recent advances in life-span development research demonstrate the fundamental role of subjective age bias for well-being, performance, and health, the underlying mechanisms are not well understood. By highlighting the motivational and social-cognitive mechanisms of the subjective age bias, we answer 3 crucial questions and discuss implications for work and organizations. We conclude with recommendations for future research.


2008 ◽  
Vol 26 (5) ◽  
pp. 447-456 ◽  
Author(s):  
Fabio Lucidi ◽  
Arnaldo Zelli ◽  
Luca Mallia ◽  
Caterina Grano ◽  
Paolo M. Russo ◽  
...  

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