lee, minhyeok
This paper introduces a mathematical framework for defining and quantifying self-identity in artificial intelligence (AI) systems, addressing a critical gap in the theoretical foundations of artificial consciousness. While existing approaches to artificial self-awareness often rely on heuristic implementations or philosophical abstractions, we pres...
intra, francesca sangiuliano taverna, livia incardona, roberta maria tremolada, marta amadori, alberto prestera, giulia brighi, antonella
Developing socioemotional competence in preschool children is essential to their growth. Numerous studies have emphasized the importance of socioemotional skills in early childhood, documenting distinct patterns in socioemotional growth and identifying distinct developmental patterns that suggest gender and self-awareness can influence developmenta...
Southgate, Victoria
Although a reflective self-awareness is often considered to be the pinnacle of human consciousness, it takes time to develop, and behaviors indicating a conceptual self-representation appear only toward the end of the second year of life. How it develops has been the subject of much speculation, but little empirical data have targeted causal mechan...
khvatov, ivan a. ganza, polina n. kharitonov, alexander n. samuleeva, maria v.
Body size awareness is the ability of animals to consider the size of their bodies when interacting with environmental objects. It is one of the manifestations of body self-awareness. We studied body size awareness in laboratory rats of Wistar strain. In the experiment, rats had to pass through one of three holes in a partition to reach the bait. I...
banks, aieshea l. mainess, karen j. javaherian, heather natsuaki, misaki n.
Historically, society has labeled social communication differences in autistic individuals as disordered by comparing them to the social communication behaviors of the predominant non-autistic population. This study explores how autistic young adults view their social communication experiences and how their differences impact them when navigating s...
Mamman, Rinni Fleming, Jennifer Mortenson, W Ben Schmidt, Julia
Published in
Disability and rehabilitation
Individuals may experience post-traumatic growth after sustaining a traumatic brain injury (TBI)Social participation, self-awareness, and self-identity could influence post-traumatic growth after TBIIn rehabilitation, post-traumatic growth may be facilitated for individuals with (TBI) through higher engagement in activities, better recognition of l...
Hao, Yu Banker, Sarah Trayvick, Jadyn Barkley, Sarah Peters, Arabella Thinakaran, Abigael McLaughlin, Christopher Gu, Xiaosi Foss-Feig, Jennifer Schiller, Daniela
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Published in
Research square
The prevalence of depression is elevated in individuals with autism spectrum disorder (ASD) compared to the general population, yet the reasons for this disparity remain unclear. While social deficits central to ASD may contribute to depression, it is uncertain whether social interaction behavior themselves or individuals' introspection about their...
Ben-Dor Cohen, Maayan Nahum, Mor Traub Bar-Ilan, Ruthie Eldar, Eran Maeir, Adina
Published in
Neuropsychological rehabilitation
Emotional dysregulation (ED) impacts functional outcomes among individuals with attention-deficit hyperactivity disorder (ADHD). Self-awareness and strategies may enhance coping with ED yet are rarely studied in ADHD. To explore ED-related self-awareness and strategies in daily life of adults with ADHD, and to examine the interrelations between the...
Smith, Marchella Cameron, Lindsey Ferguson, Heather J
Peer reviewed: True / People with autism spectrum conditions (ASC) have difficulties imagining events, which might result from difficulty mentally generating and maintaining a coherent spatial scene. This study compared this scene construction ability between autistic (N = 55) and neurotypical (N = 63) adults. Results showed that scene construction...
Dell’Aversana, Paolo
Published in
Exploration of Digital Health Technologies
Aim: This study represents preliminary research for testing the effectiveness of the Self-Aware Deep Learning (SAL) methodology in the context of medical diagnostics using various types of attributes. By enhancing traditional AI models with self-aware capabilities, this approach seeks to improve diagnostic accuracy and patient outcomes in medical s...