Background
Communication is core to everyday life. It allows people to connect with loved ones, participate in their communities, and engage in education, work, and leisure. It is also essential in healthcare contexts – such as when describing symptoms to a doctor, making treatment decisions, or taking part in patient and public involvement (PPI) activities. Effective communication involves both verbal (e.g. speech, writing) and non-verbal (e.g. gestures, facial expressions, tone of voice) elements, collectively known as total communication. Total communication is particularly vital for people with communication disabilities, including around one-third of stroke survivors and two to three children in every classroom.
Novelty & Importance
Current technology design often overlooks non-verbal communication, focusing mainly on verbal interaction. This limitation is seen both in mainstream platforms and assistive technologies. Existing assistive devices – often delivered through large tablets or computers – not only restrict non-verbal interaction but may also contribute to stigma. Emerging technologies such as multimodal large language models (LLMs), coupled with lightweight wearable devices, offer exciting opportunities to support real-time communication more holistically. For example, these tools could offer subtle word-finding support during medical consultations, without disrupting natural interaction.
Aims & Objectives
This PhD project aims to explore how new AI technologies can be designed and applied to enhance communication for people with disabilities. The objectives are to:
• Conduct user-centred and co-design research to understand communication needs and opportunities.
• Develop and prototype wearable, AI-enabled technologies that integrate verbal and non-verbal communication support.
• Evaluate these technologies in real-world healthcare and community settings to assess their effectiveness, accessibility, and ethical implications.
Ultimately, this research seeks to enable more inclusive, person-centred communication experiences for all.
This PhD project aims to explore how new AI technologies can be designed and applied to enhance communication for people with disabilities. The objectives are to:
• Conduct user-centred and co-design research to understand communication needs and opportunities.
• Develop and prototype wearable, AI-enabled technologies that integrate verbal and non-verbal communication support.
• Evaluate these technologies in real-world healthcare and community settings to assess their effectiveness, accessibility, and ethical implications.
Ultimately, this research seeks to enable more inclusive, person-centred communication experiences for all.

