40 citations · 53 across the 13 of their papers we have counts for
17 papers
Cyber-Physical Systems for Accessibility and Ability Augmentation: Bridging Diverse Communities
Shuchang Xu, Riku Arakawa, Mina Huh +11
The powerful convergence of wearables, robotics, extended reality, and smart environments is expanding the design space for cyber-physical systems (CPS) that support and augment hu…
RemiAssist: A Therapist-Supporting System for Photo-Based Reminiscence Therapy in Dementia Care
Shuchang Xu, Minglong Tang, Junyan Mao +7
Despite growing interest in applying AI to photo-based reminiscence therapy (PRT) for people with dementia (PwD), existing systems primarily focus on PwD-AI interaction and often o…
PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs
Artem Dementyev, Wazeer Zulfikar, Sinan Hersek +3
Current multimodal LLMs process audio as a mono stream, ignoring the rich spatial information essential for embodied AI. Existing spatial audio models, conversely, are constrained…
The Goldilocks Time Window for Proactive Interventions in Wearable AI Systems
Cathy Mengying Fang, Wazeer Zulfikar, Yasith Samaradivakara +2
As AI systems become increasingly integrated into our daily lives and into wearable form factors, there's a fundamental tension between their potential to proactively assist us and…
Resonance: Drawing from Memories to Imagine Positive Futures through AI-Augmented Journaling
Wazeer Zulfikar, Treyden Chiaravalloti, Jocelyn Shen +2
People inherently use experiences of their past while imagining their future, a capability that plays a crucial role in mental health. Resonance is an AI-powered journaling tool de…
MemPal: Leveraging Multimodal AI and LLMs for Voice-Activated Object Retrieval in Homes of Older Adults
Natasha Maniar, Samantha W. T. Chan, Wazeer Zulfikar +3
Older adults have increasing difficulty with retrospective memory, hindering their abilities to perform daily activities and posing stress on caregivers to ensure their wellbeing.…
Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
Samantha Chan, Pat Pataranutaporn, Aditya Suri +3
This study examines the impact of AI on human false memories -- recollections of events that did not occur or deviate from actual occurrences. It explores false memory induction th…
Analyzing Speech Motor Movement using Surface Electromyography in Minimally Verbal Adults with Autism Spectrum Disorder
Wazeer Zulfikar, Nishat Protyasha, Camila Canales +13
Adults who are minimally verbal with autism spectrum disorder (mvASD) have pronounced speech difficulties linked to impaired motor skills. Existing research and clinical assessment…
EmpathicStories++: A Multimodal Dataset for Empathy towards Personal Experiences
Jocelyn Shen, Yubin Kim, Mohit Hulse +4
Modeling empathy is a complex endeavor that is rooted in interpersonal and experiential dimensions of human interaction, and remains an open problem within AI. Existing empathy dat…
Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation
Wazeer Zulfikar, Samantha Chan, Pattie Maes
People have to remember an ever-expanding volume of information. Wearables that use information capture and retrieval for memory augmentation can help but can be disruptive and cum…
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
Utkarsh Sarawgi, Rishab Khincha, Wazeer Zulfikar +2
Reliability of machine learning (ML) systems is crucial in safety-critical applications such as healthcare, and uncertainty estimation is a widely researched method to highlight th…
Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks
Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar +1
The problem of missing data has been persistent for a long time and poses a major obstacle in machine learning and statistical data analysis. Past works in this field have tried us…
Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia
Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha +1
Reliability in Neural Networks (NNs) is crucial in safety-critical applications like healthcare, and uncertainty estimation is a widely researched method to highlight the confidenc…
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles
Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha +1
Understanding and quantifying uncertainty in black box Neural Networks (NNs) is critical when deployed in real-world settings such as healthcare. Recent works using Bayesian and no…
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity
Utkarsh Sarawgi, Wazeer Zulfikar, Nouran Soliman +1
Alzheimer's disease is estimated to affect around 50 million people worldwide and is rising rapidly, with a global economic burden of nearly a trillion dollars. This calls for scal…
Towards Task Understanding in Visual Settings
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra +1
We consider the problem of understanding real world tasks depicted in visual images. While most existing image captioning methods excel in producing natural language descriptions o…
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance
Wazeer Zulfikar, Sebastin Santy, Sahith Dambekodi +1
Face frontalization is the process of synthesizing frontal facing views of faces given its angled poses. We implement a generative adversarial network (GAN) with spherical linear i…