Elsevier Procedia CIRP | October 15, 2024
Optimizing the product design and development cycle is vital for maintaining quality and reducing production costs. Early-stage interventions can prevent future expenses. This paper proposes a novel approach to enhance the design for manufacturability (DfM) paradigm by integrating digital twins and generative AI. The proposed software simulates real-world environments using sensors and provides AI-driven solutions to optimize manufacturing, control costs, and improve product appeal. This model ensures cost efficiency, accelerates product development, and enables faster market launches, combining emerging technologies to revolutionize DfM. Read More
Springer LNNS Smart Trends in Computing and Communications (SmartCom) | May 15, 2024
Crime prevention remains a critical societal concern, with India reporting a crime rate of 445.9 per 100,000 citizens in 2023, theft being the most common. This paper proposes an AI and machine learning-based predictive model to address this issue. Using design thinking, pattern recognition, and human-computer interaction, the model identifies criminal activity patterns and addresses system loopholes. IoT ensures connectivity, while AI optimizes performance. A Python-based prototype validates the model, which is applied to a home security device. The system's flexibility allows adaptation to various needs, aiming to reduce crime and enhance safety. Read More
World Resources Forum | July 24, 2023
Over the past 30 years, 10.3% of the world's forests have been lost, driving global warming, biodiversity loss, and food insecurity. This paper proposes a gamified product-service system to promote environmental conservation. The solution includes a smartphone app and an onsite seed dispenser to encourage tree planting, guiding users to impactful locations. Gamification, rewards, and incentives foster behavioral change, while ergonomic design ensures user engagement. Testing shows significant success in motivating users and achieving sustainability goals. This system effectively involves stakeholders, presenting a promising solution to combat deforestation and promote conservation. Abstract publication with paper under proceedings.
Physics for Human-Computer Interaction in the Industrial Metaverse
Ongoing Research
The Industrial Metaverse (IMV) has transformed industrial processes, enabling remote and predictive activities through virtual Human-Machine Interfaces (HMIs). However, the lack of physics-based attributes in virtual environments, such as weight or surface friction, poses risks when virtual behaviors are applied in real-world scenarios. To address this, we propose the Virtual Human-Computer Interaction Physics (VHCIP) framework, which integrates realistic physics into IMV HMIs to enhance user experience and ensure safe behavior translation to real-world tasks. Through research and case studies, VHCIP demonstrates its effectiveness in creating intuitive, physics-based virtual interactions that mitigate potential negative consequences.
©️ 2025 Riddhi Kasar. All rights reserved.