Dr. Ashwini B is an HCI researcher with a keen interest in leveraging technology-based solutions to support children with neurodevelopmental disorders, particularly autism. My research centers on characterizing and quantifying human behaviors to enhance machine intelligence, enabling machines to better interpret human actions, emotions, and intentions for more responsive and effective applications. I am dedicated to developing solutions that are not only cost-effective but also contextually appropriate for resource-constrained environments, demonstrating a deep understanding of the diverse needs and challenges in these settings.
PhD, Indraprastha Institute of Information Technology Delhi (IIITD), 2024
HCI and Artificial Intelligence
Journal Publications
Ashwini B, Deeptanshu, S. Gulati and J. Shukla, "Artificial Intelligence Driven Predictive Analysis of Acoustic and Linguistic Behaviours for ASD Identification" in IEEE Transactions on Artificial Intelligence, vol. 1, no. 01, pp. 1-10, Aug. 5555, doi: 10.1109/TAI.2024.3439288. (JCR Q1)
Ashwini B, Arka Sarkar, Pruthivi Raj Behera, Jainendra Shukla. "Multi-source transfer learning for facial emotion recognition using multivariate correlation analysis", Sci Rep 13, 21004 (2023). https://doi.org/10.1038/s41598-023-48250-x. (JCR Q1; IF 3.8)
Conferences
Ashwini B, Sanmay Sood, Pratyush Jain and Jainendra Shukla, "Towards Context-Aware Multimodal AI for Assessment of Autism in Children", 13th International Conference on Affective Computing and Intelligent Interaction (ACII 2025). (Accepted for publication)
Ashwini B, Atmadeep Ghoshal, Venkata Ratnadeep Suri, Krishnaveni Achary, and Jainendra Shukla. 2024. " It looks useful, works just fine, but will it replace me?" Understanding Special Educators’ Perception of Social Robots for Autism Care in India. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI ’24). Association for Computing Machinery, New York, NY, USA, Article 401, 1–23. https://doi.org/10.1145/3613904.3642836 (Honourable Mention, Core A*)
Ashwini B, V. Narayan and J. Shukla, "SPASHT: Semantic and Pragmatic Speech Features for Automatic Assessment of Autism", ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095135.
Ashwini B, V. Narayan, A. Bhatia and J. Shukla, "Responsiveness towards robot-assisted interactions among pre-primary children of Indian ethnicity", 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), Vancouver, BC, Canada, 2021, pp. 619-625, doi: 10.1109/RO-MAN50785.2021.9515520.
Short Papers
Ashwini, B., Shukla, J., & Gulati, S. (2023). Multimodal Behaviour Analysis for Early Diagnosis of Autism in Children. INSAR 2023. (Short Paper)
Ashwini, B. (2020, October). Robot-Assisted Diagnosis of Autism in Children. In Proceedings of the 2020 International Conference on Multimodal Interaction (ICMI) (pp. 728-732). (Doctoral Consortium)
Patent (filed)
A patent (application no. 202411038008 dated14/05/2024) has been filed that covers the findings of speech-based analysis for autism diagnosis titled, "A system and method for identifying the automated speech behaviour in Hindi-speaking children with ASD".