Namaste...

I am Dr. Pranjal Borah,

an Assistant Professor at the School of Design, IIT Jodhpur, India.

My research interests include Human-Computer Interaction (HCI), Human-robot Interaction (HRI), Multi-sensory User Experience (UX) Design, Haptics, Extended Reality (XR), Game Design, Inclusive Design, and Human-Centered Artificial Intelligence (HCAI).


About

I hold a B.Tech degree in Computer Science and Engineering and an M.Tech degree specializing in Artificial Intelligence. My PhD thesis titled “Design and Evaluation of Naamya” focuses on designing accessible gesture-based interactions for flexible smartphones to draw primitive geometric shapes by users with blindness or low vision. With over seven years of experience as an academic researcher, I have actively contributed to various research areas, including Interaction Techniques, Tangible and Haptic User Interfaces, Multi-sensory UX Design, Aging and Accessibility, Rehabilitation, Inclusive Design, Interactive Computing, and Human-Centered Artificial Intelligence (HCAI). Beyond research, I find happiness in painting, sculpting, photography, and gardening.

My research lab, the Interaction and Creative Technology Lab, or in short, the InterACT Lab, investigates how emerging and immersive technologies can enhance Education and Assistive Technology for individuals with and without disabilities. We also reimagine and investigate the way we interact with the digital world through natural and novel interaction techniques.


Research Lab

InterACT Lab IIT Jodhpur

Interaction and Creative Technology (InterACT) Lab

At InterACT Lab, School of Design, IIT Jodhpur, we work at the intersection of Assistive Technology, Immersive Technology, Human-Centered Artificial Intelligence, Human-Computer Interaction and Inclusive Design. Our lab focuses on creating practical, human-centered solutions that address real-world challenges across education, rehabilitation, digital experiences and cultural heritage, contributing towards equity, independence, and quality of life of diverse user groups.


Courses


Research Projects

Accessible Bend Gestures for Users with Blindness or Low Vision

Keywords: Human–computer Interaction,   Accessibility,   Bend Gesture

Publications:

Design of Naamya: Human-Centered Design of a Bend Gesture b... 2025. Request Full-text

Investigating user performance and preference for two magnitu... 2023. Request Full-text

User-defined Bend Gesture Completion Strategies for Discrete an... 2021. Request Full-text

Geometric Drawing on Tactile Board

Keywords: Human–computer Interaction,   Accessibility,   Nonvisual Drawing

Publications:

Direct Observation of Tactile Geometric Drawing by Visually Impair... 2019. Request Full-text

Learning and Creating Mathematical Diagrams: Findings of a Re... 2021. Request Full-text

Bend Gestures for One-handed Landscape Mode

Keywords: Human–computer Interaction,   Flexible device,   Gesture-based input

Publications:

Natural and Intuitive Deformation Gestures for One-handed Land... 2019. Request Full-text

Gesture Action Mapping for Deformation-based One-handed Land... 2021. Request Full-text

Word Sense Disambiguation for Assamese Language

Keywords: Artificial Intelligence,   Machine Learning,   Natural language processing

Publications:

Approaches for Word Sense Disambiguation - A survey, 2014. Request Full-text

Assamese Word Sense Disambiguation Using Supervised Learning, 2014. Request Full-text

Word Sense Disambiguation (WSD) for Assamese Language, 2019. Request Full-text

Named Entity Recognition (NER) for Assamese Language

Keywords: Artificial Intelligence,   Machine Learning,   Natural language processing

Publications:

A Survey of NER in Assamese and Other Indian Languages, 2014. Request Full-text

Supervised NER in Assamese Language, 2014. Request Full-text

Assamese NER System Using Naive Bayes Classifier, 2018. Request Full-text

Feedback Actuator for Non-visual Exploration of Virtual Lines

Keywords: Human–computer Interaction,   Haptics,   Extended Reality

Publications:

TMOVE: Multimodal Feedback Actuator for Non-visual Explor... 2020. Request Full-text

Road Sign Detection and Recognition

Keywords: Artificial Intelligence,   Machine Learning,   Pattern Matching

Publications:

A Study on Automatic Detection and Recognition Techniques for Road Signs, 2015. Full-text


Contact Details

Dr. Pranjal Protim Borah

School of Design, IIT Jodhpur, India, PIN-342037

PranjalBorah[AT]iitj[DOT]ac[DOT]in

Leisure pursuits

○ IoT-based Interactive Prototyping ○ Bonsai

○ Sculpting ○ Painting ○ Photography


© Pranjal Protim Borah