Research on level 1 visual perspective taking (L1-VPT) has been debating whether L1-VPT is an implicit socially rooted or rather a non-social process. Using online versions of the Dot Perspective Task by Samson et al. (Journal of Experimental Psychol...
This paper explores the integration of generative artificial intelligence (AI) into psychotherapeutic practice through the lens of mentalization theory, with a particular focus on epistemic trust-a critical relational mechanism that facilitates psych...
Autism Spectrum Disorder presents significant challenges in social cognition, particularly in understanding others' thoughts, emotions, and intentions. Traditional interventions often rely on role-playing games with human therapists or inanimate obje...
Neuroscience and biobehavioral reviews
Apr 12, 2025
Understanding how individuals form and update their beliefs is a fundamental question in cognitive and social psychology. Belief formation (BF) refers to the initial development of an individual's belief, while belief updating (BU) pertains to the re...
BACKGROUND: The increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. These bia...
Dementia affects over 55 million people globally, with early cognitive decline, such as Mild Cognitive Impairment (MCI), often preceding neurodegenerative diseases. This decline impairs memory, attention, and Theory of Mind (ToM). Early intervention ...
Integrative psychological & behavioral science
Jan 2, 2025
This theoretical paper offers an in-depth examination of the intersection between Theory of Mind (ToM) and artificial intelligence (AI), drawing on developmental psychology and philosophical analysis. By investigating the key developmental stages at ...
Cognitive research: principles and implications
Dec 12, 2024
As a wide variety of intelligent technologies become part of everyday life, researchers have explored how people conceptualize agents that in some ways act and think like living things but are clearly machines. Much of this work draws upon the idea t...
We describe an approach aimed at helping artificial intelligence develop theory of mind of their human teammates to support team interactions. We show how this can be supported through the provision of quantifiable, machine-readable, a priori informa...
Nothing is perfect and robots can make as many mistakes as any human, which can lead to a decrease in trust in them. However, it is possible, for robots to repair a human's trust in them after they have made mistakes through various trust repair stra...
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