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ZERO: Integrated and Inclusive Mobility: Barrier-Free Access, Payment, and Transit

The ZERO project presents itself as an innovative solution to address the challenges of accessibility, inclusion, and sustainability in urban mobility. Designed to facilitate the use of both public and private transportation, its focus is especially directed at vulnerable groups, seeking to overcome barriers such as the digital divide and to promote a safe, integrated, and accessible transportation system. Through IoT technologies, ZERO simplifies authentication and payments in transportation, while enhancing the user experience through interactive applications.

Human-Centered AI: User-Driven Adapted Language Models (HumanAI-LANG)

The HumanAI project, led by the HULAT-UC3M group in coordination with the NIL-UCM group, aims to address the challenges faced by people with cognitive disabilities when using generative Artificial Intelligence (AI) tools. This project focuses on promoting inclusivity and accessibility in generative AI, reducing the digital divide, and improving the quality of life for these individuals while maintaining a commitment to environmental responsibility.

Inclusive and Sustainable AI: New Frontiers in Human-Centered Collaboration

The proposed research line focuses on the development of technology based on Artificial Intelligence (AI) and Large Language Models (LLM) from an inclusive and sustainable perspective, seeking to advance how these technologies can be improved along with human-computer interaction (HCI). This line addresses several key aspects, such as:

Cognitive Accessibility [NLP, AI & HCI]

Research and development of Natural Language Processing (NLP) and Artificial Intelligence (AI) technologies for text simplification, with the goal of making textual content more comprehensible systematically and automatically. Our expertise is particularly highlighted in working with people with cognitive limitations, such as individuals with intellectual disabilities and the elderly, among others. We began our work using more traditional NLP methods, evolving towards the use of transformers and, finally, to Large Language Models (LLMs) that we apply today.

Accessibility and UX for User Interfaces with Disabilities [HCI, NLP & IA]

Research and development of technologies supporting the design and development of accessible interfaces (websites, apps, among others), optimizing the user experience (UX). We have extensive experience in accessible technologies, ensuring they can be accessed and used by anyone, including those with disabilities.

Access2Citizen (Sensory and cognitive accessibility in the communication and management of the public telematic and telephone services)

Accessibility in technologies for citizens of the public sector currently entails accessibility barriers for people with disabilities. The Public Administration (AAPP) despite having a history of actions in accessibility with its consequent progress, currently does not mostly comply with the accessibility regulations and does not respond to the needs of all citizens with disabilities.

BACKGROUND

Our research lines reflect the journey from our beginnings, showcasing how the foundations laid in areas such as natural language processing, biomedicine, web development, and accessibility have evolved into the current cutting-edge directions.

This journey demonstrates not only our adaptability and growth but also underpins our present investigations. These research lines, which continue to be relevant, are as follows:

eGovernAbiity-AccessSupport: Model based framework for building accessible e-administration sevices

Public administrations are rapidly advancing towards the provision of basic and extended services for the citizen through the Web (EU eGovernment Report 2014). In addition to the decrement of costs, this effort will support all people’s civil right to have access to all public services (including people with disabilities and elderly people). For this reason the EU started diverse initiatives to “Meeting new societal needs by using emerging technologies in the public sector” in order to “foster efficient, open citizen-centric public services”.

TRENDMINER: Large-scale Cross-lingual Trend Mining of Real-time media streams

The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has lead to challenges of how to access and interpret these strongly multilingual data, in a timely, efficient, and affordable manner. Scientifically, streaming online media pose new challenges, due to their shorter, noisier, and more colloquial nature. Moreover, they form a temporal stream strongly grounded in events and context. Consequently, existing language technologies fall short onaccuracy, scalability and portability. The goal of this project is to deliver.

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