DATE: January 03, 2025 at 08:30AM
SOURCE: DIGITALHEALTH.NET

TITLE: AI to help patients with long-term conditions in North East London

URL: digitalhealth.net/2025/01/ai-t…

Thousands of patients are benefitting from an NHS initiative that uses AI to better support those living with long-term health conditions.

URL: digitalhealth.net/2025/01/ai-t…

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DATE: January 03, 2025 at 08:00AM
SOURCE: PSYPOST.ORG

** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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TITLE: Researchers uncover a hidden cognitive strength associated with autistic traits

URL: psypost.org/researchers-uncove…

A recent study published in PLOS Computational Biology found that people with stronger autistic traits, particularly those with a preference for predictability, tend to exhibit unique curiosity-driven behaviors. These individuals showed persistence in tasks requiring sustained attention, often leading to superior learning outcomes.

Autism spectrum disorder is a developmental condition that affects how individuals perceive and interact with the world. It is characterized by differences in communication, social interaction, and behavior patterns. Rather than being a singular condition, autism exists on a spectrum, meaning that individuals experience varying levels of intensity and expression of traits. While some may require significant support in daily life, others might navigate independently with unique strengths and challenges.

Autistic traits are characteristics commonly associated with autism but may also be present in varying degrees within the general population. These traits can include a preference for routines, heightened sensitivity to sensory input, and intense focus on specific topics of interest. While these traits can sometimes pose challenges, they also contribute to unique ways of thinking and problem-solving.

The new study aimed to explore how autistic traits influence curiosity-driven behaviors, particularly the way individuals explore their environments and engage in learning activities. Curiosity is a fundamental human drive that motivates exploration and discovery. It plays a critical role in how we acquire new skills and knowledge. However, previous research has largely overlooked how individual differences, such as autistic traits, shape these exploratory behaviors.

“Observing people’s curiosity and how they explore the world around them, I couldn’t help but notice big differences across people: while some love to learn and new challenges, others prefer to stick to familiar grounds,” said study author Francesco Poli (@francescopoli.bsky.social), a postdoctoral researcher in developmental cognitive science at the University of Cambridge.

“Wondering which personality aspects might explain these differences, I started thinking that one potential reason was autistic traits. I thus decided to systematically examine whether certain autistic traits can foster more effective ways of exploring and mastering new tasks, with the hope to expand our understanding of neurodiversity in learning.”

The researchers conducted their study with 70 participants, primarily university students, aged 17 to 35. These individuals engaged in an online game designed to measure exploratory and learning behaviors. In this game, participants interacted with cartoon animals on a screen, each of which followed a unique hiding pattern governed by probabilistic rules. Participants selected an animal, predicted its hiding spot, and received feedback about whether their prediction was correct. They could choose to persist with the same animal or switch to another at any point. This setup allowed the researchers to observe when and why participants chose to continue or abandon a task.

To examine how autistic traits influenced these decisions, participants completed the Adult Social Behavior Questionnaire, which evaluates dimensions of autistic traits such as insistence on sameness, reduced empathy, and sensory sensitivity. Both self-reports and parent-reports of autistic traits were collected to provide a comprehensive understanding of the participants’ profiles.

The researchers found differences in how participants with varying levels of autistic traits approached exploration and learning. Those with higher levels of “insistence on sameness,” a trait associated with a preference for predictability and resistance to change, demonstrated greater persistence in the task. They were less likely to abandon an activity early, even when learning progress was limited.

Over time, however, these participants increasingly relied on learning progress to guide their decisions, abandoning activities only when the learning potential diminished. This persistence proved advantageous, particularly in tasks involving complex or probabilistic patterns, where their approach led to superior performance.

“One surprising result was how participants with higher insistence on sameness showed a clear advantage when the task demanded sustained exploration, despite prior research suggesting that such insistence might be a disadvantage,” Poli told PsyPost. “This finding calls for a more balanced understanding of autistic traits — they can manifest as adaptive strengths in certain contexts, especially when individuals are let free to explore and engage in a task for as long as they want, instead of being instructed to carry out specific instructions.”

In contrast, participants with lower insistence on sameness scores were more likely to disengage from tasks offering minimal immediate learning opportunities. They tended to switch activities more frequently, focusing on avoiding prediction errors. While this strategy allowed them to navigate the task efficiently, it sometimes resulted in less in-depth engagement with specific activities.

When deciding what to explore next, participants across the spectrum showed a preference for novelty. However, their motivations differed. Those with higher insistence on sameness prioritized options offering greater learning potential, while those with lower scores favored options where they expected to make fewer errors. These differences in decision-making strategies highlight the diverse ways individuals approach learning and problem-solving.

“Rather than viewing autistic traits solely as impairments, our work highlights that these traits may also offer strengths: individuals with stronger autistic traits can be highly persistent and motivated to continue exploring, which can translate into better learning outcomes,” Poli said. “Recognizing these strengths can help educators, clinicians, and the general public foster more positive attitudes toward neurodiversity, allowing us to create learning environments that build on and celebrate each person’s unique profile.”

While the study provides valuable insights, it also has limitations. For example, the sample consisted primarily of young, educated individuals. “We studied a mostly university student population, so our findings might not automatically generalize to younger or more diverse groups,” Poli noted. In addition, “not everyone who scored high on autistic traits would receive a formal autism diagnosis, so caution is needed in framing these findings in clinical contexts.”

Despite these limitations, the findings challenge deficit-based views of autism, emphasizing the value of diverse learning strategies. Future research could investigate how these findings translate to real-world learning environments.

“In the long run, I want to further explore how individual traits interact with different types of learning environments across the lifespan, as well as the link between different learning abilities and the underlying brain mechanisms,” Poli told PsyPost. “Ultimately, I hope this work helps inform the design of personalized educational and therapeutic programs, ensuring that each person’s unique profile is not just accommodated but leveraged for success.”

“Our study underscores that ‘one-size-fits-all’ approaches to learning often fail to capture the ways in which different minds explore and grow. Celebrating neurodiversity means recognizing that people come equipped with varied modes of learning — and that these differences can be assets rather than deficits.”

The study, “Autistic traits foster effective curiosity-driven exploration,” was authored by Francesco Poli, Maran Koolen, Carlos A. Velázquez-Vargas, Jessica Ramos-Sanchez, Marlene Meyer, Rogier B. Mars, Nanda Rommelse, and Sabine Hunnius.

URL: psypost.org/researchers-uncove…

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