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20242026
most citedSystematic Review of Extended Reality for Smart Built Environments Lighting Design Simulations

26 citations · 47 across the 11 of their papers we have counts for

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cs.HC2024

Multilingual Standalone Trustworthy Voice-Based Social Network for Disaster Situations

Majid Behravan, Elham Mohammadrezaei, Mohamed Azab +1

In disaster scenarios, effective communication is crucial, yet language barriers often hinder timely and accurate information dissemination, exacerbating vulnerabilities and compli…

cs.HC2024

A digital twin based approach to smart lighting design

Elham Mohammadrezaei, Alexander Giovannelli, Logan Lane +1

Lighting has a critical impact on user mood and behavior, especially in architectural settings. Consequently, smart lighting design is a rapidly growing research area. We describe…

cs.HC2024★ 26 cited

Systematic Review of Extended Reality for Smart Built Environments Lighting Design Simulations

Elham Mohammadrezaei, Shiva Ghasemi, Poorvesh Dongre +2

This systematic literature review paper explores the use of extended reality {(XR)} technology for smart built environments and particularly for smart lighting systems design. Smar…

cs.HC2024★ 1 cited

Attention and Sensory Processing in Augmented Reality: Empowering ADHD population

Shiva Ghasemi, Majid Behravan, Sunday Uber +1

The brain's attention system is a complex and adaptive network of brain regions that enables individuals to interact effectively with their surroundings and perform complex tasks.…

cs.HC2024

Empowering Mobility: Brain-Computer Interface for Enhancing Wheelchair Control for Individuals with Physical Disabilities

Shiva Ghasemi, Denis Gracanin, Mohammad Azab

The integration of brain-computer interfaces (BCIs) into the realm of smart wheelchair (SW) technology signifies a notable leap forward in enhancing the mobility and autonomy of in…

eess.SP2024★ 2 cited

Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction

Poorvesh Dongre, Majid Behravan, Kunal Gupta +2

This paper explores enhancing empathy in Large Language Models (LLMs) by integrating them with physiological data. We propose a physiological computing approach that includes devel…