Please wait ...
0% Complete
Home
/
14th International Conference on Computer and Knowledge Engineering
Automating Theory of Mind Assessment with a LLaMA-3-Powered Chatbot: Enhancing Faux Pas Detection in Autism
Authors :
Avisa Fallah
1
Ali Keramati
2
Mohammad Ali Nazari
3
Fatemeh Sadat Mirfazeli
4
1- School of Mathematics, Statistics and Computer Science, University of Tehran,Tehran, Iran
2- School of Electrical and Computer Engineering University of Tehran,Tehran, Iran
3- Department of Neuroscience, Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
4- National Brain Centre, Iran University of Medical Sciences, Tehran, Iran
Keywords :
Large Language Models،Interactive Chatbot،Faux Pas Recognition Test،Chain-of-thought،Theory of Mind
Abstract :
The Theory of Mind (ToM) is critical for social interactions, enabling individuals to understand and predict others’ mental states. Deficits in ToM, particularly in detecting faux pas, are common among individuals with Autism Spectrum Disorder (ASD). Traditional methods for assessing ToM, such as the Faux Pas Recognition Test (FPRT), require significant human involvement, which can limit accessibility and scalability. This study aims to explore how large language model (LLM)-powered chatbots, specifically utilizing the LLaMA-3 model, can enhance the assessment of ToM by automating and improving the administration of the FPRT. The methodology involved creating a dual-phase process where the chatbot first assesses user responses and then provides rehabilitative guidance to correct misunderstandings. Additionally, the system employs a scoring mechanism combining automated evaluation with human oversight to ensure accuracy and consistency, with system prompts crafted based on chain-of-thought prompting to enhance the depth and reliability of the assessments. Our findings demonstrate the effectiveness of LLM-powered chatbots in delivering dynamic and supportive ToM assessments, suggesting its potential for broader application for both artificial intelligence and psychological practices.
Papers List
List of archived papers
Enhancing Lighter Neural Network Performance with Layer-wise Knowledge Distillation and Selective Pixel Attention
Siavash Zaravashan - Sajjad Torabi - Hesam Zaravashan
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules
Narges Semiromizadeh - Omid Nejati Manzari - Shahriar B. Shokouhi - Sattar Mirzakuchaki
Intelligent Interpretation of Frequency Response Signatures to Diagnose Radial Deformation in Transformer Windings Using Artificial Neural Network
Reza Behkam - Hossein Karami - Mehdi Salay Naderi - Gevork B. Gharehpetian
Android Malware Detection using Supervised Deep Graph Representation Learning
Fatemeh Deldar - Mahdi Abadi - Mohammad Ebrahimifard
Real-Time Gender Recognition with a Deep Neural Network
Samad Azimi Abriz - Majid Meghdadi
WBT-GAN:Wavelet based Generative Adversarial Network for Texture Synthesis
Sara Saberi moghadam - Reza Azmi - Maral Zarvani
Joint mobility-aware offloading and UAV position optimization in Blockchain-enabled 5G
Zeinab Rabbani - Zeinab Movahedi
IranITJobs2021: a Dataset for Analyzing Iranian Online IT Job Advertisements Collected Using a New Crowdsourcing Process
Fakhroddin Noorbehbahani - Nikta Akbarpour - Mohammad Reza Saeidi
SGFL: A Federated Learning Approach for Non-IID Data Using Semi-Supervised DCGAN
Alireza Rabiee - Abolfazl Ajdarloo - Mohsen Rahmani
A New Hypercube Variant: Pruned Shuffle Connected Cube
Reza Latifi - Mahmoud Naghibzadeh
more
Samin Hamayesh - Version 44.7.0