Total sleep deprivation (TSD) is known to alter cognitive processes. Surprisingly little attention has been paid to its impact on social cognition. Here, we investigated whether TSD alters levels-1 and -2 visual perspective-taking abilities, i.e. the capacity to infer (a) what can be seen and (b) how it is seen from another person's visual perspective, respectively. Participants completed levels-1 and -2 visual perspective-taking tasks after a night of sleep and after a night of TSD. In these tasks, participants had to take their own (self trials) or someone else's (other trials) visual perspective in trials where both perspectives were either the same (consistent trials) or different (inconsistent trials). An instruction preceding each trial indicated the perspective to take (i.e. the relevant perspective). Results show that TSD globally deteriorates social performance. In the level-1 task, TSD affects the selection of relevant over irrelevant perspectives. In the level-2 task, the effect of TSD cannot be unequivocally explained. This implies that visual perspective taking should be viewed as partially state-dependent, rather than a wholly static trait-like characteristic.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/jsr.12595 | DOI Listing |
Front Public Health
January 2025
Biosecurity, Los Alamos National Laboratory, Los Alamos, NM, United States.
Research typically promotes two types of outcomes (inventions and discoveries), which induce a virtuous cycle: something suspected or desired (not previously demonstrated) may become known or feasible once a new tool or procedure is invented and, later, the use of this invention may discover new knowledge. Research also promotes the opposite sequence-from new knowledge to new inventions. This bidirectional process is observed in geo-referenced epidemiology-a field that relates to but may also differ from spatial epidemiology.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology&Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Retinal diseases can severely impair vision and even lead to blindness, posing significant threats to both physical and mental health. Physical retinal regenerative therapies are poised to revolutionize the treatment of various disorders associated with blindness. However, these therapies must overcome the challenges posed by the protective inner and outer blood‒retinal barriers.
View Article and Find Full Text PDFPsychon Bull Rev
January 2025
Department of Education and Psychology, The Open University, 1 University Road, P.O. Box 808, 4353701, Ra'anana, Israel.
Visual perspective taking often involves transitioning between perspectives, yet the cognitive mechanisms underlying this process remain unclear. The current study draws on insights from task- and language-switching research to address this gap. In Experiment 1, 79 participants judged the perspective of an avatar positioned in various locations, observing either the rectangular or the square side of a rectangular cube hanging from the ceiling.
View Article and Find Full Text PDFEnviron Pollut
January 2025
College of Oceanology and Food Science, Quanzhou Normal University, Quanzhou 362000, China. Electronic address:
As a crucial source of potable water, the quality of water in Shanmei reservoir strongly and directly impacts the safety and well-being of downstream residents. Microorganisms play a pivotal role in the reservoir's resource and energy cycle. However, ecological protection efforts for the Shanmei reservoir have encountered numerous challenges in recent years.
View Article and Find Full Text PDFAquat Toxicol
January 2025
School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, 114051, China; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325001, China. Electronic address:
As compound concentrations in aquatic environments increase, the habitat degradation of aquatic organisms underscores the growing importance of studying the impact of chemicals on diverse aquatic populations. Understanding the potential impacts of different chemical substances on different species is a necessary requirement for protecting the environment and ensuring sustainable human development. In this regard, deep learning methods offer significant advantages over traditional experimental approaches in terms of cost, accuracy, and generalization ability.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!