Engagnition: A multi-dimensional dataset for engagement recognition of children with autism spectrum disorder

W Kim, M Seong, KJ Kim, SJ Kim - Scientific Data, 2024 - nature.com
Engagement plays a key role in improving the cognitive and motor development of children
with autism spectrum disorder (ASD). Sensing and recognizing their engagement is crucial …

Autistic Expression Beyond the Verbal-Studying Minimally-Verbal Autistic Indian Children's Embodied Interactions with Screen-Based Technology

S Singh, C Wilson - Proceedings of the 23rd Annual ACM Interaction …, 2024 - dl.acm.org
Off-the-shelf, screen-based technologies like smartphones, tablets and iPads are used daily
in Indian households. However, there has been limited research discussing whether these …

Modeling real-world affective and communicative nonverbal vocalizations from minimally speaking individuals

J Narain, KT Johnson, TF Quatieri… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Nonverbal vocalizations from non-and minimally speaking individuals who speak fewer than
20 words (mv* individuals) convey important communicative and affective information. While …

Brief Report: Quantifying Speech Production Coordination from Non-and Minimally-Speaking Individuals

T Talkar, KT Johnson, J Narain, P Maes… - Journal of Autism and …, 2024 - Springer
Purpose Non-verbal utterances are an important tool of communication for individuals who
are non-or minimally-speaking. While these utterances are typically understood by …

Benchmarking automatic speech recognition technology for natural language samples of children with and without developmental delays

E McGonigle, M VanDam, C Wilkinson… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
Natural language sampling (NLS) offers rich insights into real-world speech and language
usage across diverse groups; yet, human transcription is time-consuming and costly …

Identification of Non-Speaking and Minimal-Speaking Individuals Using Nonverbal Vocalizations

VT Tran, WH Tsai - IEEE Access, 2024 - ieeexplore.ieee.org
Speech remains a prevalent mode of communication powering various intelligent functions
in human-computer interaction applications, notably in Speaker/Person Identification (PID) …

A Novel Dataset for Video-Based Autism Classification Leveraging Extra-Stimulatory Behavior

M Serna-Aguilera, XB Nguyen, HS Seo… - arxiv preprint arxiv …, 2024 - arxiv.org
Autism Spectrum Disorder (ASD) can affect individuals at varying degrees of intensity, from
challenges in overall health, communication, and sensory processing, and this often begins …

AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation

D Choi, SH Park, K Lee, H Hong, YH Kim - arxiv preprint arxiv …, 2024 - arxiv.org
As minimally verbal autistic (MVA) children communicate with parents through few words
and nonverbal cues, parents often struggle to encourage their children to express subtle …

Egocentric Speaker Classification in Child-Adult Dyadic Interactions: From Sensing to Computational Modeling

T Feng, A Xu, X Shi, S Bishop, S Narayanan - arxiv preprint arxiv …, 2024 - arxiv.org
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by
challenges in social communication, repetitive behavior, and sensory processing. One …

AToM-Bot: Embodied Fulfillment of Unspoken Human Needs with Affective Theory of Mind

W Ding, F Li, Z Ji, Z Xue, J Liu - arxiv preprint arxiv:2406.08455, 2024 - arxiv.org
We propose AToM-Bot, a novel task generation and execution framework for proactive robot-
human interaction, which leverages the human mental and physical state inference …