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The Design Summer School 2024 was recently organized at IIIT-Delhi by the Department of Human Centered Design in collaboration with the Center for Design and New Media (sponsored by Tata Consultancy Services, A TCS Foundation Initiative).

Anveshan 3.0 is IIIT-Delhi’s flagship, on-campus hackathon—bringing together six premier research centers to mentor teams in solving real-world challenges across AI, XR, healthcare, quantum tech, and more.

The HCD Department hosted an interactive session with newly admitted PhD scholars, senior researchers, and faculty.

8 artists across India. Eminent Painter and writer Shri Ashok Bhowmick and a Famous TV Anchor from Rajya Sabha Shri Syed Mohd Irfan Were invited for the inauguration and concluding ceremonies respectively.

Two weeks prior to the 1 Pixel Design Conference 2025, a successful Pre-Event was held, featuring a distinguished lineup of speakers: Don Norman: Renowned design thinker and author of The Design of Everyday Things, shared insights on design's evolving role in technology. Saptarshi Prakash, AVP of Design at Swiggy and 3x TEDx speaker, discussed design leadership and impactful user experiences. Dr. Manohar Swaminathan, From Microsoft Research, explored the intersection of design and innovation. Dr Richa Gupta, Moderator of the event.

1Pixel offers a unique opportunity to gain insights into the evolving world of design. As North India’s largest student-led design event, it empowers attendees to stay at the forefront of innovation.

A focused 5-day workshop series on Human-Centered Design, Human-Centric AI, Sensing, Visual Storytelling, and Immersive Technologies (XR/AR/VR/MR). Open to students and practitioners.

Gaming & Animation Lab under the supervision of Dr. Aman Parnami (Assistant Professor, HCD, IIIT-Delhi) works on gaming, animation, and related concerns such as Augmented Reality and Virtual Reality demand a dedicated space with high-end workstations such as the latest iMac and motion tracking equipment. It also offer several pioneering courses internally and externally on topics ranging from game design, 2D and 3D animation, and motion graphics.

The Audio-Visual Studio is currently under the supervision of Aman Samuel (Visiting Faculty, HCD, IIIT-Delhi) and Anoop Ratn (Visiting Faculty, HCD, IIIT-Delhi) has a multi- channel sound driver by Focusrite and 10 speakers with individual control.The lab's goal is to turn the research and intellectual capital of academia on Digital & Social Media and Innovative Media Services into insights for the real world. Audio -Visual Studio helps students prepare a comprehensive understanding of the modern media landscape through a blend of focused study and hands-on practice. The lab fosters students to advance in knowledge and widespread learning of the challenges of the new Digital Media era.

Design & Innovation Lab offers a unique opportunity for students for prototyping of their ideas and thereby inculcate the habit of innovation, which can be useful for society, community, research so as to improve quality of life human beings live and promoting Do-It-Yourself attitude.

Accessibility and Inclusive Design Lab aims at enabling independent living and empowering persons with special needs by making the world more inclusive and accessible. It attempts to address the challenges that hamper independent and easy access to educational resources as well as information that facilitates navigation (both indoor and outdoor). This lab leverage the principles of human-centred design to create convenient and pleasant day-to-day experiences while solving problems particularly for persons with special needs.

Creative Interfaces Lab is a design research lab that operates at the intersection of Human-Computer Interaction (HCI) and various disciplines. Our mission is to design, create, and evaluate interactive tools and experiences that enhance human capabilities and imagination. The primary focus of our research is on User Experience and Interaction Design, with a strong emphasis on Tangible User Interfaces, XR, and the Metaverse. While we enthusiastically welcome a diverse array of bold and imaginative approaches, there's a special place in our hearts for designs that echo with Bharat. We're passionate about crafting solutions that understand, reflect, and embrace Bharat's rich culture, diverse needs, and boundless potential. We openly welcome Bharat-centric explorations that intertwine our cultural richness with the cutting-edge of HCI technologies.

The Design Research and Human Factors (DREAMRS) Lab focuses on two areas – Design Research and Human Factors. In the domain of Design Research, we work on Design Creativity, Biologically Inspired Design, Analogical Reasoning, Knowledge-Based Systems, Design Methods, and Tools. In the domain of Human Factors, we work on developing ergonomic solutions for technical products. DREAMRS lab is founded and led by Dr. Sonal Keshwani (Ph.D., IISc Bangalore). It is associated with Human Centred Design at IIIT Delhi.

The Emerging Technology Integrated Design & Manufacturing lab (ETiDM) at HCD focuses on exploring and investigating emerging technologies including Extended reality (XR)/ (AR, VR, MR), Artificial Intelligence (AI), Digital Twin, Internet Of Things (IoT) and Haptic Technology. The ongoing research projects employ emerging technologies to develop smart training, tutorial and evaluation systems in the context of Industry 4.0 and Education 4.0.

At Human-Machine Interaction (HMI) lab, we investigate novel interaction mechanisms to empower human-machine cooperation. Located at Indraprastha Institute of Information Technology, Delhi, HMI Lab is an initiative founded by Dr. Jainendra Shukla. Our research at HMI lab lies at the intersection of Computer Science, Design, and Psychology. HMI lab provides a unique facility for talented individuals, including computer scientists, designers, and philosophers coming from Ph.D., master as well as undergraduate levels.

MIDAS is a group of researchers at IIIT-Delhi who study, analyze, and build different multimedia systems for society leveraging multimodal information. MIDAS stands for Multimodal Digital Media Analysis Lab and it is founded by Dr. Rajiv Ratn Shah. Dr. Shah is an assistant professor in the Department of Computer Science and Engineering (jointly appointed with the Department of Human-Centered Design) at IIIT-Delhi.

The Pervasive Sensing & Intelligent Assistive Systems (PerSIsst) lab is a dynamic research space that facilitates the design and development of innovative assistive systems to promote smart living through pervasive sensing and ubiquitous computing techniques. The lab was founded by Dr. Pragma Kar, an Assistant Professor in the Department of Human-Centered Design at IIIT-Delhi.

Every year students and faculty of CDNM create digital or physical systems for serving a societal need or exploring novel ways of interactions, however, a proper showcase was difficult to organize due to lack of space conducive to minimalistic and serene requirements of design presentations. We created a hall with a large projection screen, motorized curtains, overhead lights, overhead projector, and outlets for a successful interactive design exhibition. The space could also be used during other design-related activities such as the TEDx conference.

Specific Learning Disabilities (SLDs) conditions manifest as a deficit in processing language, spoken or written, that may manifest itself as a difficulty to comprehend, speak, read, write, spell, or to do mathematical calculations and includes such conditions as perceptual disabilities, dyslexia, dysgraphia, dyscalculia, dyspraxia, and developmental aphasia. The cognitive flexibility associated with SLDs can manifest itself in noteworthy talents, which include a multi-sensory lens for creative and lateral thinking, resulting in out-of-the-box solutions for problems. The untapped potential of SLDs causes a high opportunity cost for the Nation’s progress. However, children with SLDs experience repeated failures and poor performance despite their continuous efforts and practice in learning. At the same time, worldwide, the condition will SLDs has been exacerbated due to the COVID-19 pandemic when education delivery shifted online. Thus, strengthening online education delivery will be important and impacting. However, research has indicated that educators might not always be aware of their students’ attentional focus, and this may be particularly true for novice teachers. The aim of this project is to develop an AI-empowered tool that will offer personalized, monitored, and evidence-based identification of attention levels among children with SLD. The project will first develop a multimodal dataset of audio-visual and physiological signals among 150 children with SLD to understand the attention and engagement of children with SLD during digital learning. It will further perform a systematic comparison of physiological, audio-visual, and eye-dilation signals for the attention monitoring of children with SLD to identify the valid indicators of attention. Based on these, the project will develop an AI-empowered system for real-time continuous monitoring of attention among children with SLD. Finally, the project will deploy and evaluate the efficacy of the developed AI-empowered system among 50 children with SLD and 25 typically developing children in naturalistic settings. Once validated the findings of this project can improve and monitor the attention of children with SLDs and can play a significant role in their inclusion during digital learning.

In recent years, advances in artificial intelligence techniques have yielded immense success in computer vision, natural language processing, and speech processing. Healthcare is also one of the areas which got many benefits from this. Mining social media messages for health and drug-related information has received significant interest in pharmacovigilance research. For instance, an analysis of social media text (e.g., tweets, posts, and comments) using natural language processing and machine learning techniques helps in finding the adverse drug reactions, suicidal ideation, depression detection, medical information extraction, etc. Moreover, computer vision and machine learning techniques help the automatic detection of different diseases from tissue images. For instance, it has shown immense success in the detection of cancer, diabetes, kidney failure, etc. Furthermore, speech processing in conjunction with artificial intelligence has shown great success in the treatment of people. Moreover, artificial intelligence helps in building systems for people with different abilities. At MIDAS@IIITD, we focus on several such interesting research problems (e.g., kidney glomeruli classification, automatic kidney fibrosis assessment, adverse drug reactions, and suicidal ideation ) leveraging deep learning techniques. Our recent papers in this area are published in top-tier conferences and journals such as IEEE Intelligent Systems, NAACL, etc.

Preserving Intangible Cultural Heritage “Aipan” of Uttarakhand through An Interactive Virtual Reality Experience with LLM-Assisted Storytelling GuidePreserving Intangible Cultural Heritage “Aipan” of Uttarakhand through An Interactive Virtual Reality Experience with LLM-Assisted Storytelling GuidePreserving Intangible Cultural Heritage “Aipan” of Uttarakhand through An Interactive Virtual Reality Experience with LLM-Assisted Storytelling GuidePreserving Intangible Cultural Heritage “Aipan” of Uttarakhand through An Interactive Virtual Reality Experience with LLM-Assisted Storytelling Guide

Early detection of Autism Spectrum Disorder (ASD) is crucial for deciding the appropriate educational and behavioral intervention at the most suitable time. However, there are no absolute biological markers for autism and an accurate diagnosis of ASD requires extensive training and experience acquired over the years and such expertise is limited to a few individuals centered in metropolitans and is beyond the reach of most of the affected population. robot-assisted interventions have found increasing acceptance as a support tool for therapy and education for children with autism (CwA). CwA prefers to interact with technological tools rather than human beings and hence, robot-assisted diagnosis systems can be employed to improve the early detection of ASD in an automated assessment manner making the ASD diagnosis more objective. The overarching goal of this project is to develop a robot-assisted system for the diagnosis of ASD suitable for children of Indian ethnicity. Upon validation, the benefits of this project can be made available to the unreachable children masses of India.