| 2024 | The Potential of Multimodal Compositionality for Enhanced Recommendations through Sentiment Analysis. | Saba Nazir, Mehrnoosh Sadrzadeh |
| 2024 | Bespoke: Using LLM agents to generate just-in-time interfaces by reasoning about user intent. | Palash Nandy, Sigurdur O. Adalgeirsson, Anoop K. Sinha, Tanya Kraljic, Mike Cleron, Lei Shi, Angad Singh, Ashish Chaudhary, Ashwin Ganti, Chris Melancon, Shudi Zhang, David Robishaw, Horia Stefan Ciurdar, Justin Secor, Kenneth Aleksander Robertsen, Kirsten Climer, Madison Le, Mathangi Venkatesan, Peggy Chi, Peixin Li, Peter F. McDermott, Rachel Shim, Selcen Onsan, Shilp Vaishnav, Stephanie Guamn |
| 2024 | An LLM-powered Socially Interactive Agent with Adaptive Facial Expressions for Conversing about Health. | Joaquin Molto, Jonathan Fields, Ubbo Visser, Christine L. Lisetti |
| 2024 | MR-Driven Near-Future Realities: Previewing Everyday Life Real-World Experiences Using Mixed Reality. | Florian Mathis, Brad A. Myers, Ben Lafreniere, Michael Glueck, David P. S. Marques |
| 2024 | The Impact of Auditory Warning Types and Emergency Obstacle Avoidance Takeover Scenarios on Takeover Behavior. | Xuenan Li, Zhaoyang Xu |
| 2024 | Automatic mild cognitive impairment estimation from the group conversation of coimagination method. | Sixia Li, Kazumi Kumagai, Mihoko Otake-Matsuura, Shogo Okada |
| 2024 | Towards Automatic Social Involvement Estimation. | Zonghuan Li |
| 2024 | Combining Generative and Discriminative AI for High-Stakes Interview Practice. | Chee Wee Leong, Navaneeth Jawahar, Vinay Basheerabad, Torsten Wrtwein, Andrew Emerson, Guy Sivan |
| 2024 | Do We Need To Watch It All? Efficient Job Interview Video Processing with Differentiable Masking. | Hung Le, Sixia Li, Candy Olivia Mawalim, Hung-Hsuan Huang, Chee Wee Leong, Shogo Okada |
| 2024 | Online Multimodal End-of-Turn Prediction for Three-party Conversations. | Meng-Chen Lee, Zhigang Deng |
| 2024 | User-Defined Interaction for Very Low-Cost Head-Mounted Displays. | Yuen C. Law, Harrison Mendieta-Dvila, Daniel Garca-Fallas, Rogelio Gonzlez-Quirs, Mario Chacn-Rivas |
| 2024 | On Multimodal Emotion Recognition for Human-Chatbot Interaction in the Wild. | Nikola Kovacevic, Christian Holz, Markus Gross, Rafael Wampfler |
| 2024 | Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty. | Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda |
| 2024 | Modelling Social Intentions in Complex Conversational Settings. | Ivan Kondyurin |
| 2024 | Leveraging Prosody as an Informative Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications. | Matilda Knierim, Sahil Jain, Murat Han Aydogan, Kenneth Mitra, Kush Desai, Akanksha Saran, Kim Baraka |
| 2024 | Enhancing Biodiversity Monitoring: An Interactive Tool for Efficient Identification of Species in Large Bioacoustics Datasets. | Hannes Kath, Ilira Troshani, Bengt Lers, Thiago S. Gouva, Daniel Sonntag |
| 2024 | Enhancing Collaboration and Performance among EMS Students through Multimodal Learning Analytics. | Vasundhara Joshi |
| 2024 | Predicting Errors and Failures in Human-Robot Interaction from Multi-Modal Temporal Data. | Ruben Janssens, Eva Verhelst, Mathieu De Coster |
| 2024 | Let's Dance Together! AI Dancers Can Dance to Your Favorite Music and Style. | Ryo Ishii, Shin'ichiro Eitoku, Shohei Matsuo, Motohiro Makiguchi, Ayami Hoshi, Louis-Philippe Morency |
| 2024 | Do We Need Artificial Dining Companions? Exploring Human Attitudes Toward Robots in Commensality Settings. | Albana Hoxha, Hunter Fong, Radoslaw Niewiadomski |
| 2024 | M2RL: A Multimodal Multi-Interface Dataset for Robot Learning from Human Demonstrations. | Shaid Hasan, Mohammad Samin Yasar, Tariq Iqbal |
| 2024 | DoubleDistillation: Enhancing LLMs for Informal Text Analysis using Multistage Knowledge Distillation from Speech and Text. | Fatema Hasan, Yulong Li, James R. Foulds, Shimei Pan, Bishwaranjan Bhattacharjee |
| 2024 | Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting. | Divij Gupta, Anubhav Bhatti, Suraj Parmar, Chen Dan, Yuwei Liu, Bingjie Shen, San Lee |
| 2024 | Qualitative study of gesture annotation corpus : Challenges and perspectives. | Mickalla Grondin-Verdon, Domitille Caillat, Slim Ouni |
| 2024 | Detecting Autism from Head Movements using Kinesics. | Muhittin Gokmen, Evangelos Sariyanidi, Lisa Yankowitz, Casey J. Zampella, Robert T. Schultz, Birkan Tun |