3 citations · 6 across the 9 of their papers we have counts for
10 papers
TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction
Diana Romero, Xin Gao, Daniel Khalkhali +1
Predicting group behavior, how individuals coordinate, communicate, and interact during collaborative tasks, is essential for designing systems that can support team performance th…
Follow My Eyes: Backdoor Attacks on Goal-Directed Scanpath Prediction
Diana Romero, Mutahar Ali, Momin Ahmad Khan +3
Scanpath prediction models forecast the sequence of fixations a person makes while searching a scene, and increasingly serve as the upstream perception layer for foveated rendering…
M-CALLM: Multi-level Context Aware LLM Framework for Group Interaction Prediction
Diana Romero, Xin Gao, Daniel Khalkhali +1
This paper explores how large language models can leverage multi-level contextual information to predict group coordination patterns in collaborative mixed reality environments. We…
MURMR: A Multimodal Sensing Framework for Automated Group Behavior Analysis in Mixed Reality
Diana Romero, Yasra Chandio, Fatima Anwar +1
When teams coordinate in immersive environments, collaboration breakdowns can go undetected without automated analysis, directly affecting task performance. Yet existing methods re…
What Sensors See, What People Feel: An Exploratory Study of Subjective Collaboration Perception in Mixed Reality
Yasra Chandio, Diana Romero, Salma Elmalaki +1
Mixed Reality (MR) enables rich, embodied collaboration; however, it is uncertain whether sensor- and system-logged behavioral signals capture how users experience that collaborati…
AutoLike: Auditing Social Media Recommendations through User Interactions
Hieu Le, Salma Elmalaki, Zubair Shafiq +1
Modern social media platforms, such as TikTok, Facebook, and YouTube, rely on recommendation systems to personalize content for users based on user interactions with endless stream…
GroupBeaMR: Analyzing Collaborative Group Behavior in Mixed Reality Through Passive Sensing and Sociometry
Diana Romero, Yasra Chandio, Fatima Anwar +1
Understanding group behavior is crucial for enhancing collaboration and productivity in mixed reality (MR). This paper introduces a framework for group behavior analysis in MR, or…
GaitGuard: Protecting Video-Based Gait Privacy in Mixed Reality
Diana Romero, Athina Markopoulou, Salma Elmalaki
Mixed Reality (MR) systems capture continuous video streams that expose bystanders' and collaborators' gait patterns -- a biometric revealing sensitive attributes including age, ge…
BehaVR: User Identification Based on VR Sensor Data
Ismat Jarin, Yu Duan, Rahmadi Trimananda +3
Virtual reality (VR) platforms enable a wide range of applications, however, pose unique privacy risks. In particular, VR devices are equipped with a rich set of sensors that colle…
AutoFR: Automated Filter Rule Generation for Adblocking
Hieu Le, Salma Elmalaki, Athina Markopoulou +1
Adblocking relies on filter lists, which are manually curated and maintained by a community of filter list authors. Filter list curation is a laborious process that does not scale…