Interactive Machine Learning and Explainable-AI
Shiaofen Fang
This project aims to create a visualization framework that reveals the shape patterns of machine learning models. These models, often perceived as black boxes operating in high-dimensional spaces, becomes more comprehensible to users through the framework’s multiple viewing options in lower-dimensional spaces. This framework not only helps users interpret model behavior but also ensures safety and instills trust in their use.
Visual Analytics of Neuroimaging Data
Shiaofen Fang
Collaborating with the Department of Radiology and Imaging Sciences at Indiana University, we developed image analysis and visualization tools for neuroimaging data. These tools facilitate visual exploration and analysis, aiding in the detection of diagnostic biomarkers. (By harnessing the power of visual analytics, we aim to enhance our understanding of brain health and contribute to improved clinical outcomes.)
Healthcare Data Visualization
Shiaofen Fang
In collaborates with researchers in the Regenstrief Institute, our team designed and implemented an interactive visualization system tailored for large healthcare datasets. This system offers real-time insights and operates as a web-based solution, effectively harnessing the vast scale of electronic health records. (By enabling seamless exploration and analysis, we empower healthcare professionals to make informed decisions and enhance patient care.)
Aiding Reasoning about Correlation and Causation
Francesco Cafaro
This project investigated how interacting with data visualization through hand gestures versus body movements influences our comprehension of causation and correlation in data. Our study demonstrated that engaging with data through body movements in museum settings help visitors identify causal relationships, providing valuable insights for designing interactive installations for informal learning experiences.
NeuroXR
Zeb Wood
NeuroXR Collaborative uses extended reality (XR), which includes virtual reality, augmented reality, and mixed reality, to revolutionize mental health assessments and treatments. Our team investigates the underlying mechanisms of psychiatric disorders and evaluates the impact of XR interventions on cognition, behavior, and brain activity, using neuroimaging, electronic surveys, and biometric recordings. Current projects aim to use VR intervention to improve social perspective taking in youth, improve social cognition deficits in ADHD, and assess hostile attribution bias.
VR-mediated Speech-Language Assessment and Rehabilitation Therapy for Individuals with Speech Language Condition
Hee-Tae Jung
This project aims to address the global challenge of speech-language conditions, which often result from acquired brain injuries or developmental disorders. Led by IU Indy, this collaborative effort is developing innovative, user-friendly VR-based tools to improve accessibility and effectiveness of assessment and rehabilitation services. This endeavor is particularly important due to the limited availability of professionals and support personnel in this field, which often hinders individuals' access to essential services.
VR-assisted Motor Rehabilitation Therapy for Individuals with Acquired Brain Injury
Hee-Tae Jung
Practicing activities of daily living is essential for improving and maintaining motor function after brain injuries. However, conducting rehabilitation therapy in real-world settings can pose risks, such as accidental cuts or burns during food preparation. In collaboration with the IU Center for Neurorehabilitation and Robotics, we are developing a VR system to provide effective motor rehabilitation therapy by simulating real-life activities in a safe environment.
VR Empathy Game for developing empathy in young children
Ekaterina Muravevskaia
The Virtual Reality (VR) educational game “Why Did Baba Yaga Take My Brother?” aims to support empathy development and understanding of social interactions in young children. The game transports players to the world of the fairy tale “The Magic Swan Geese” and encourages them to reflect on characters' emotions through dialogue with characters, watching characters' memories, and exploring their perspectives. Using VR for children’s games allows designers to create realistic, immersive experiences, which can help players experience stronger empathetic responses. This innovative VR Empathy Game creates a safe, exploratory world of immersive and realistic empathy experiences for young children. The game is designed for children aged 5 to 8 as a potential extracurricular activity at school or home.
