activity
20202026
most citedStepping into the Right Shoes: The Effects of User-Matched Avatar Ethnicity and Gender on Sense of Embodiment in Virtual Reality

45 citations · 144 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2026

Having Dog Ears "for Real": Effects of Active and Passive Haptics on Embodying Non-Human Body Parts in VR

Omar A. Khan, Bao Han Trinh, Lee Lisle +1

Embodying non-human body parts in VR is a prevalent practice among certain subcultures and is a personally important creative outlet to many individuals. However, the discrepant mo…

cs.HC2024★ 18 cited

Cultural Reflections in Virtual Reality: The Effects of User Ethnicity in Avatar Matching Experiences on Sense of Embodiment

Tiffany D. Do, Juanita Benjamin, Camille Isabella Protko +1

Matching avatar characteristics to a user can impact sense of embodiment (SoE) in VR. However, few studies have examined how participant demographics may interact with these matchi…

cs.HC2024

The Full-scale Assembly Simulation Testbed (FAST) Dataset

Alec G. Moore, Tiffany D. Do, Nayan N. Chawla +2

In recent years, numerous researchers have begun investigating how virtual reality (VR) tracking and interaction data can be used for a variety of machine learning purposes, includ…

cs.HC2024★ 45 cited

Stepping into the Right Shoes: The Effects of User-Matched Avatar Ethnicity and Gender on Sense of Embodiment in Virtual Reality

Tiffany D. Do, Camille Isabella Protko, Ryan P. McMahan

In many consumer virtual reality (VR) applications, users embody predefined characters that offer minimal customization options, frequently emphasizing storytelling over user choic…

cs.HC2023★ 40 cited

VALID: A perceptually validated Virtual Avatar Library for Inclusion and Diversity

Tiffany D. Do, Steve Zelenty, Mar Gonzalez-Franco +1

As consumer adoption of immersive technologies grows, virtual avatars will play a prominent role in the future of social computing. However, as people begin to interact more freque…

cs.LG2021★ 25 cited

Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends

Tiffany D. Do, Seong Ioi Wang, Dylan S. Yu +2

League of Legends (LoL) is the most widely played multiplayer online battle arena (MOBA) game in the world. An important aspect of LoL is competitive ranked play, which utilizes a…

cs.HC2020★ 1 cited

The Effects of Object Shape, Fidelity, Color, and Luminance on Depth Perception in Handheld Mobile Augmented Reality

Tiffany D. Do, Joseph J. LaViola, Ryan P. McMahan

Depth perception of objects can greatly affect a user's experience of an augmented reality (AR) application. Many AR applications require depth matching of real and virtual objects…

cs.HC2020★ 15 cited

Using Collaborative Filtering to Recommend Champions in League of Legends

Tiffany D. Do, Dylan S. Yu, Salman Anwer +1

League of Legends (LoL), one of the most widely played computer games in the world, has over 140 playable characters known as champions that have highly varying play styles. Howeve…