Artificial Intelligence (AI) Facilitated Data-Driven Design Thinking

Ref Link: https://link.springer.com/chapter/10.1007/978-3-031-49215-0_3

This paper describes an approach to integrating Design-Thinking (DT) and User-Centered Design Process (UCD) activities into a process that is facilitated by artificial intelligence (AI) for improved collaboration and data-driven decision-making at a faster pace, so as to improve the adoption. It also aims to identify if the AI can facilitate design thinking sessions and act as a collaborator to help the participants make decisions based on data faster. The proposed concept has been tested by developing an AI powered whiteboard software using Open AI’s APIs and a custom ML model on user-profile data to manage it, which was then run by a group of users for their Design-Thinking session for testing and accessing its success in enhancing the design process. The AI-facilitated design-thinking process produced desirable outcomes in significantly less time and helped speed up the Design-Thinking process.

Revolutionizing Design Education: AI-Powered Design-Thinking for Tomorrow's Innovators

Ref Link: https://design.iitd.ac.in/FDE_2024/

In the ever-evolving landscape of education, the imperative to equip stu-dents with the skills necessary for success in a rapidly changing world is paramount. Among these skills, innovation and design thinking stand out as critical competencies. To this end, this paper unveils a pioneering ap-proach aimed at fostering innovation and design thinking among students through the integration of Design-Thinking (DT) and User-Centered Design Process (UCD) activities, facilitated by the remarkable capabilities of artifi-cial intelligence (AI). The objective is to not only enhance collaboration but also usher in data-driven decision-making at an accelerated pace, ulti-mately spurring greater adoption of these vital skills.

The AI-facilitated design-thinking process not only delivered desirable outcomes but did so in significantly less time than traditional methods. By acting as a collaborative partner, AI streamlined the decision-making pro-cess, providing participants with data-driven insights that propelled their ideation and problem-solving efforts. This new approach opened a new era where AI becomes an integral part of the learning process, serving as a cata-lyst for innovation and design thinking.

The central premise of this proposed approach is to explore the potential of AI as a facilitator and collaborator in the realm of design-thinking, with a specific focus on expediting the decision-making process through data-driven insights through AI models. The innovative concept has been rigor-ously tested through the development of an AI-powered whiteboard soft-ware harnessing OpenAI's APIs and a bespoke machine learning model, tai-lored to user-profile data management. This cutting-edge software was then deployed in a real-world scenario where a group of users engaged in a De-sign-Thinking session, thereby gauging its effectiveness in augmenting the design process.

AI-Powered Real-time Accessibility Enhancement: A Solution for Web Content Accessibility Issues

DOI: https://doi.org/10.15575/join.v9i1.1310

The web accessibility landscape is a significant challenge, with 96.3% of home pages displaying issues with Web Content Accessibility Guidelines (WCAG). This paper addresses the primary accessibility issues, such as missing Accessible Rich Internet Applications (ARIA) landmarks, ill-formed headings, low contrast text, and inadequate form labeling. The dynamic nature of modern web and cloud applications presents challenges, such as developers' limited awareness of accessibility implications, potential code bugs, and API failures. To address these issues, an AI-enabled system is proposed to dynamically enhance web accessibility. The system uses machine learning algorithms to identify and rectify accessibility issues in real-time, integrating with existing development workflows. Empirical evaluation and case studies demonstrate the efficacy of this solution in improving web accessibility across diverse scenarios.