activity
20222025
most citedPILAR: Personalizing Augmented Reality Interactions with LLM-based Human-Centric and Trustworthy Explanations for Daily Use Cases

4 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2025★ 4 cited

PILAR: Personalizing Augmented Reality Interactions with LLM-based Human-Centric and Trustworthy Explanations for Daily Use Cases

Ripan Kumar Kundu, Istiak Ahmed, Khaza Anuarul Hoque

Artificial intelligence (AI)-driven augmented reality (AR) systems are becoming increasingly integrated into daily life, and with this growth comes a greater need for explainabilit…

cs.CR2025★ 2 cited

Adversarial VR: An Open-Source Testbed for Evaluating Adversarial Robustness of VR Cybersickness Detection and Mitigation

Istiak Ahmed, Ripan Kumar Kundu, Khaza Anuarul Hoque

Deep learning (DL)-based automated cybersickness detection methods, along with adaptive mitigation techniques, can enhance user comfort and interaction. However, recent studies sho…

cs.CR2025★ 3 cited

PrivateXR: Defending Privacy Attacks in Extended Reality Through Explainable AI-Guided Differential Privacy

Ripan Kumar Kundu, Istiak Ahmed, Khaza Anuarul Hoque

The convergence of artificial AI and XR technologies (AI XR) promises innovative applications across many domains. However, the sensitive nature of data (e.g., eye-tracking) used i…

cs.CR2025

Securing Virtual Reality Experiences: Unveiling and Tackling Cybersickness Attacks with Explainable AI

Ripan Kumar Kundu, Matthew Denton, Genova Mongalo +2

The synergy between virtual reality (VR) and artificial intelligence (AI), specifically deep learning (DL)-based cybersickness detection models, has ushered in unprecedented advanc…

cs.HC2024

Mazed and Confused: A Dataset of Cybersickness, Working Memory, Mental Load, Physical Load, and Attention During a Real Walking Task in VR

Jyotirmay Nag Setu, Joshua M Le, Ripan Kumar Kundu +5

Virtual Reality (VR) is quickly establishing itself in various industries, including training, education, medicine, and entertainment, in which users are frequently required to car…

cs.HC2023

LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI

Ripan Kumar Kundu, Rifatul Islam, John Quarles +1

Cybersickness is a common ailment associated with virtual reality (VR) user experiences. Several automated methods exist based on machine learning (ML) and deep learning (DL) to de…

cs.LG2023★ 1 cited

VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality

Ripan Kumar Kundu, Osama Yahia Elsaid, Prasad Calyam +1

A plethora of recent research has proposed several automated methods based on machine learning (ML) and deep learning (DL) to detect cybersickness in Virtual reality (VR). However,…

cs.CR2023★ 3 cited

RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks

Ayesha Siddique, Ripan Kumar Kundu, Gautam Raj Mode +1

The state-of-the-art predictive maintenance (PdM) techniques have shown great success in reducing maintenance costs and downtime of complicated machines while increasing overall pr…

cs.HC2022

TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning

Ripan Kumar Kundu, Rifatul Islam, Prasad Calyam +1

Cybersickness can be characterized by nausea, vertigo, headache, eye strain, and other discomforts when using virtual reality (VR) systems. The previously reported machine learning…