We’d love to hear your thoughts!
💬 Join the conversation: How are you addressing replicability in AI-enhanced research?
📄 Read the pre-print: osf.io/preprints/os...
#OpenScience #Reproducibility #AI #SocialRobotics #ITRN
We’d love to hear your thoughts!
💬 Join the conversation: How are you addressing replicability in AI-enhanced research?
📄 Read the pre-print: osf.io/preprints/os...
#OpenScience #Reproducibility #AI #SocialRobotics #ITRN
Authored by:
Antonio Aquino, Fabio Aurelio D’Asaro, Rocco Gaudenzi, Marco Lezcano, Vittorio Iacovella, Michela Vezzoli, and Michele Scandola
🧠 ITRN AI Working Group
Authored by:
Antonio Aquino, Fabio Aurelio D’Asaro, Rocco Gaudenzi, Marco Lezcano, Vittorio Iacovella, Michela Vezzoli, and Michele Scandola
🧠 ITRN AI Working Group
Though rooted in social robotics, this framework applies to any AI-driven experimental research, especially in the social sciences.
Though rooted in social robotics, this framework applies to any AI-driven experimental research, especially in the social sciences.
To address this, we offer a framework based on Open Science:
✅ Modular testing
✅ Parameter fixation
✅ Structured prompt engineering
✅ Robust experimental design
To address this, we offer a framework based on Open Science:
✅ Modular testing
✅ Parameter fixation
✅ Structured prompt engineering
✅ Robust experimental design
This raises new challenges:
🤖 Adaptive AI behavior
🎭 GAN-generated facial expressions
💬 Emotionally expressive chatbots
All can undermine experimental control.
This raises new challenges:
🤖 Adaptive AI behavior
🎭 GAN-generated facial expressions
💬 Emotionally expressive chatbots
All can undermine experimental control.
We propose a new experimental model:
🔁 Experiment-AI-Subjects Triad (EAIST)
AI becomes part of the experimental loop, generating stimuli and conditions.
We propose a new experimental model:
🔁 Experiment-AI-Subjects Triad (EAIST)
AI becomes part of the experimental loop, generating stimuli and conditions.
Generative AI is reshaping experimental research.
But how do we ensure replicability when AI introduces randomness and variability?
Generative AI is reshaping experimental research.
But how do we ensure replicability when AI introduces randomness and variability?
✅ More precise subgrouping = better diagnosis
✅ Tailored interventions
✅ Recognition of familial and contextual influence
📚 Read the full study:
👉 sciencedirect.com/science/arti...
#ADHD #Neurodevelopment #Psychiatry #MentalHealthResearch #Comorbidity #neurosciences
✅ More precise subgrouping = better diagnosis
✅ Tailored interventions
✅ Recognition of familial and contextual influence
📚 Read the full study:
👉 sciencedirect.com/science/arti...
#ADHD #Neurodevelopment #Psychiatry #MentalHealthResearch #Comorbidity #neurosciences
ADHD is not just a core symptom diagnosis—it clusters with distinct comorbidity profiles. These profiles are shaped by familial psychiatric history and environmental risk.
🧠 We argue for a nosology of ADHD that reflects this complexity.
ADHD is not just a core symptom diagnosis—it clusters with distinct comorbidity profiles. These profiles are shaped by familial psychiatric history and environmental risk.
🧠 We argue for a nosology of ADHD that reflects this complexity.
👩 Mothers with ADHD influenced the Tic-Autism vs. Bipolar group only when siblings had lower ADHD rates.
🏠 High negative parenting & lower FDR neurodevelopmental disorders were linked to profile 4 (ODD vs. SLD).
👩 Mothers with ADHD influenced the Tic-Autism vs. Bipolar group only when siblings had lower ADHD rates.
🏠 High negative parenting & lower FDR neurodevelopmental disorders were linked to profile 4 (ODD vs. SLD).
✅ Psychiatric disorders in FDRs had a direct effect on Anxiety-Depression-CD (profile 1).
✅ ADHD in siblings + negative parenting affected multiple profiles.
✅ Proband’s age and overlap between profiles gave further insight.
✅ Psychiatric disorders in FDRs had a direct effect on Anxiety-Depression-CD (profile 1).
✅ ADHD in siblings + negative parenting affected multiple profiles.
✅ Proband’s age and overlap between profiles gave further insight.
1. Anxiety, Depression & Conduct Disorder
2. Intellectual Disability, Specific Language Disorder & Coordination Disorder
3. Tic/Tourette & Autism vs. Bipolar Disorder
4. Oppositional Defiant Disorder vs. Specific Learning Disorders
1. Anxiety, Depression & Conduct Disorder
2. Intellectual Disability, Specific Language Disorder & Coordination Disorder
3. Tic/Tourette & Autism vs. Bipolar Disorder
4. Oppositional Defiant Disorder vs. Specific Learning Disorders
In FM, chronic and widespread pain alters bodily-based distance estimation.
This suggests pain disrupts spatial perception mechanisms typically aligned with the Economy of Action Hypothesis.
👉 Chronic pain = compromised space representation.
#NeuroSci #PainResearch
In FM, chronic and widespread pain alters bodily-based distance estimation.
This suggests pain disrupts spatial perception mechanisms typically aligned with the Economy of Action Hypothesis.
👉 Chronic pain = compromised space representation.
#NeuroSci #PainResearch
• HC perceived distances as farther on the steeper (24%) ramp—confirming the Economy of Action Hypothesis.
• FM patients showed no difference between ramps.
• FM patients’ performance was influenced by visceral and neuropathic pain.
• HC perceived distances as farther on the steeper (24%) ramp—confirming the Economy of Action Hypothesis.
• FM patients showed no difference between ramps.
• FM patients’ performance was influenced by visceral and neuropathic pain.