International Journal of Human Computer Interaction and Data Mining

Pioneering Synergy: Fusing Ai Technologies and Robots for Dynamic Intelligence And Adaptability

Dr Sunil Khullar — 2024-02-29

Artificial Intelligence (AI) is a Widely used technology now days. With the help of these technology machines can behave like a human being. Think like a human, live like a human even do the all work like a human being. Basically, it is that kind of technology who create a Artificial human being which called robots. In this paper we review on that how a robot adapts the characteristics of human being and how it behaves. So, we use some learning technology like Reinforcement Learning, deep leaning, machine learning, swarm learning, Exoskeletons leaning. All this learning helps a robot to do the task better than human Future robots will have to use methods developed by the AI community more and more. More significantly, disruptive innovation in a wide range of goods and services beyond robotics is anticipated to be made possible by the combined application of AI and robotics technologies. These include assistive home care, intelligent cars, household appliances, and the Internet of Things, in addition to the critical domains of autonomous systems, cyber-physical systems, and the Internet of Things.

Cognitive Load and Screen Design: Creating Interfaces That Reduce Mental Burden

Nitya Nanda — 2023-12-30

In the ever-evolving landscape of Human-Computer Interaction (HCI), the intricate dance between user cognition and interface design plays a pivotal role in shaping user experiences. This review article delves into the symbiotic relationship between cognitive load and screen design, illuminating the significance of creating interfaces that alleviate rather than exacerbate mental burden. The exploration traverses the theoretical underpinnings of cognitive load theory, the practical implications for interface designers, and the transformative potential of reducing cognitive load for enhanced user engagement and satisfaction.

Clustering in Semantic Web Systems: Harnessing Data Transformation and Reduction

Anuradha Biswas — 2023-12-30

This article explores the symbiotic relationship between data transformation, reduction, and clustering methodologies within the
realm of Semantic Web Systems. Semantic Web Systems, designed to imbue data with explicit meaning and context, encounter challenges presented by vast and heterogeneous data sources. The integration of clustering algorithms adapted for semantic environments plays a pivotal role in unravelling these complexities. The discussion delves into the fundamentals of clustering in Semantic Web Systems, elucidating adaptations of traditional algorithms to accommodate semantic richness. Data transformation processes, guided by ontologies and preprocessing techniques, are examined for their pivotal role in preparing data for clustering. Furthermore, the article emphasizes how clustering-driven data transformation facilitates knowledge discovery by uncovering semantic patterns and relationships. The reduction of data into cohesive clusters encapsulates essential semantic information, empowering users with condensed representations for informed decision-making. While highlighting the benefits of synergy among these processes, the article acknowledges persistent challenges, including maintaining semantic integrity during reduction and addressing scalability issues. Finally, insights into future trajectories, focusing on AI-driven approaches and machine learning techniques, are presented to optimize data preprocessing, transformation, and reduction within Semantic Web
Systems. In summary, the cohesive integration of data transformation, reduction, and clustering methodologies stands as a cornerstone for unravelling semantically rich insights from intricate data landscapes, propelling Semantic Web Systems towards greater efficiency and knowledge extraction.

Crane Assessment and Manipulation

Yashraj S. Tambe — 2023-12-30

Crane Evaluation and Operations Booking System offers the best solutions designed to facilitate communication anmanagement of crane operations by contractors, crane operators and operators. The system enforces strict compliance with regulatory standards by keeping records of crane operator qualifications, rigging inspections and equipment inspections. By providing in-depth knowledge of crane operations, it can detect potential safety issues and thus improve overall workplace safety. The platform supports the work, prepares the digital space and integration, reducing the risk of errors and delays. Using technology based on HTML, CSS and JavaScript (using PHP for front-end and MySQL for back-end processing), data management, system implementation, strong communication and information to provide a strong and secure user experience. It is effective in cost savings by reducing risks associated with delays, interruptions, fines and accidents. The availability of up-to-date information enables efficient allocation of resources by enabling stakeholders to make informed decisions. Although this system has many benefits such as improved security, compatibility and efficiency, it also brings some problems. The initial cost would be prohibitive and user training is essential for successful implementation. Additionally, reliance on technology raises concerns about downtime and security risks. In summary, crane evaluation and job booking systems are important tools for effective crane operation, ensuring compliance management, improving safety and good performance. Despite the implementation difficulties, the future of the system is promising, thanks to new technologies that are poised to make a positive impact in the field of crane management.

Human-Computer Interaction: Evolution, Challenges, and Future Frontiers

Tamannaah — 2023-12-30

Human-Computer Interaction (HCI) constitutes the interdisciplinary realm where the symbiotic relationship between humans and technology converges. This article explores the evolutionary trajectory of HCI, tracing its transformative journey from rudimentary interfaces to sophisticated, user-centric systems. Delving into historical milestones, from command-line interfaces to immersive experiences enabled by augmented reality (AR) and artificial intelligence (AI), this review encapsulates the evolutionary arc of HCI methodologies and paradigms. Addressing the multifaceted challenges within HCI, this article highlights the contemporary landscape marked by inclusivity imperatives, ethical quandaries in design practices, and the demand for seamless interaction
modalities across diverse user groups. It navigates the complexities of designing interfaces that prioritize accessibility, transparency, and user agency amidst rapid technological advancements. Moreover, the article probes into the compelling vistas of future frontiers in HCI, illuminating emerging technologies such as extended reality (XR), adaptive interfaces driven by AI, and the integration of tangible and embodied interactions. It underscores the imperative for ethical considerations, emphasizing the ethical responsibility intertwined with innovation, and advocates for user-centric design approaches that foster well-being and mitigate potential harm. This comprehensive exploration of HCI assembles critical insights into its evolutionary past, the challenges shaping its present, and the promising horizons defining its future. It serves as a compass for researchers, practitioners, and enthusiasts navigating the intricate tapestry of human-technology interactions, advocating for ethical,
inclusive, and innovative HCI practices that empower users and enrich human experiences in the digital era.