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- research-articleOctober 2024
A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementPages 2869–2878https://doi.org/10.1145/3627673.3679838With the explosion of multimedia content, video moment retrieval (VMR), which aims to detect a video moment that matches a given text query from a video, has been studied intensively as a critical problem. However, the existing VMR framework evaluates ...
- abstractAugust 2024
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6712–6713https://doi.org/10.1145/3637528.3671495The Knowledge-infused Learning Workshop is a recurring event in ACM's KDD Conference that gathers the research community on knowledge graphs and knowledge-enabled learning, grounded neurosymbolic AI, explainable and safe AI, and applications in high-...
- research-articleMay 2024
The Multi-agent System based on LLM for Online Discussions
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsPages 2731–2733The considerable improvement on the Internet and the corresponding applications leads to the result of online discussions becoming far more popular and significant than any other method for people to communicate with each other and reach a consensus. ...
- extended-abstractMay 2024
A Reinforcement Learning Framework for Studying Group and Individual Fairness
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsPages 2216–2218Reinforcement learning is a commonly used technique for optimising objectives in decision support systems for complex problem solving. When these systems affect individuals or groups, it is essential to reflect on fairness. As absolute fairness is in ...
- research-articleMarch 2024
Anticipating the Use of Robots in Domestic Abuse: A Typology of Robot Facilitated Abuse to Support Risk Assessment and Mitigation in Human-Robot Interaction
HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot InteractionPages 781–790https://doi.org/10.1145/3610977.3634938Domestic abuse research demonstrates that perpetrators are agile in finding new ways to coerce and to consolidate their control. They may leverage loved ones or cherished objects, and are increasingly exploiting and subverting what have become everyday '...
- research-articleMarch 2022
The Road to a Successful HRI: AI, Trust and ethicS (TRAITS) Workshop
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot InteractionPages 1284–1286The aim of this workshop is to foster the exchange of insights on past and ongoing research towards effective and long-lasting collaborations between humans and robots. This workshop will provide a forum for representatives from academia and industry ...
- abstractOctober 2021
Trustworthy Multimedia Analysis
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 5667–5669https://doi.org/10.1145/3474085.3478871This tutorial discusses the trustworthiness issue in multimedia analysis. Starting from introducing two types of spurious correlations learned from distilling human knowledge, we partition the (visual) feature space along two dimensions of task-...
- abstractOctober 2021
Trustworthy AI'21: 1st International Workshop on Trustworthy AI for Multimedia Computing
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 5708–5709https://doi.org/10.1145/3474085.3478583In this workshop, we are addressing the trustworthy AI issues for Multimedia Computing. We aim to bring together researchers in the trustworthy aspects of Multimedia Computing and facilitate discussions in injecting trusts into multimedia to develop ...
- posterApril 2021Best Poster
Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines: A Preliminary Research Study
CODASPY '21: Proceedings of the Eleventh ACM Conference on Data and Application Security and PrivacyPages 325–327https://doi.org/10.1145/3422337.3450325The last few years have seen a strong movement supporting the need of having intelligent consumer products align with specific design guidelines for trustworthy artificial intelligence (AI). This global movement has led to multiple institutional ...
- research-articleApril 2021
CASS: Towards Building a Social-Support Chatbot for Online Health Community
- Liuping Wang,
- Dakuo Wang,
- Feng Tian,
- Zhenhui Peng,
- Xiangmin Fan,
- Zhan Zhang,
- Mo Yu,
- Xiaojuan Ma,
- Hongan Wang
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 5, Issue CSCW1Article No.: 9, Pages 1–31https://doi.org/10.1145/3449083Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many of the systems use a rule-based dialog flow, thus they can only respond to a limited number of pre-defined inputs with pre-...