paper-conference

Evaluating the Impact of LLM-guided Reflection on Learning Outcomes with Interactive AI-Generated Educational Podcasts
This study examined whether embedding LLM-guided reflection prompts in an interactive AI-generated podcast improved learning and user …
Vishnu Menon, Andy Cherney, Elizabeth B. Cloude, Li Zhang, Tiffany D. Do
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Exploring AI-Driven Affective Avatars for Autistic Adults and Adults with Social Anxiety in Virtual Meetings
Virtual meetings often exclude individuals who rely on text-based communication, such as autistic adults and those with social anxiety. …
Tiffany D. Do, Martez E Mott, John Tang, Sasa Junuzovic, Ann Paradiso, Edward Cutrell
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PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts
Tiffany D. Do, Usama Bin Shafqat, Elsie Ling, Nikhil Sarda
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PARSE-Ego4D: Toward Bidirectionally Aligned Action Recommendations for Egocentric Videos
Steven Abreu, Tiffany D Do, Karan Ahuja, Eric J Gonzalez, Lee Payne, Daniel McDuff, Mar Gonzalez-Franco
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Virtual Interviewers, Real Results: Exploring AI-Driven Mock Technical Interviews on Student Readiness and Confidence
Technical interviews are a critical yet stressful step in the hiring process for computer science graduates, often hindered by limited …
Nathalia Gomez, Sue Batham, Matias Volonte, Tiffany D. Do
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Identifying Virtual Reality Users Across Domain-Specific Tasks: A Systematic Investigation of Tracked Features for Assembly
Recently, there has been much interest in using virtual reality (VR) tracking data to authenticate or identify users. Most prior …
Alec G Moore, Tiffany D. Do, Nicholas Ruozzi, Ryan P. McMahan
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Identifying Virtual Reality Users Across Domain-Specific Tasks: A Systematic Investigation of Tracked Features for Assembly
Carousel: Improving the Accuracy of Virtual Reality Assessments for Inspection Training Tasks
Training simulations in virtual reality (VR) have become a focal point of both research and development due to allowing users to …
Jacob Belga, Tiffany D. Do, Ryan Ghamandi, Ryan P. McMahan, Joseph J. LaViola
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Carousel: Improving the Accuracy of Virtual Reality Assessments for Inspection Training Tasks
The Effects of an Embodied Pedagogical Agent’s Synthetic Speech Accent on Learning Outcomes
Modern text-to-speech engines can be an effective speech choice for embodied virtual pedagogical agents. However, it is not known how …
Tiffany D. Do, Mamtaj Akter, Zubin Choudhary, Roger Azevedo, Ryan P. McMahan
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The Effects of an Embodied Pedagogical Agent’s Synthetic Speech Accent on Learning Outcomes
A New Uncanny Valley? The Effects of Speech Fidelity and Human Listener Gender on Social Perceptions of a Virtual-Human Speaker
Virtual humans can be used to deliver persuasive arguments; yet, those with synthetic text-to-speech (TTS) have been perceived less …
Tiffany D. Do, Ryan P. McMahan, Pamela J. Wisniewski
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A New Uncanny Valley? The Effects of Speech Fidelity and Human Listener Gender on Social Perceptions of a Virtual-Human Speaker
Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends
League of Legends (LoL) is the most widely played multiplayer online battle arena (MOBA) game in the world. An important aspect of LoL …
Tiffany D. Do, Seong Ioi Wang, Dylan S. Yu, Matthew G. McMillian, Ryan P. McMahan
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Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends