Light therapy is applied as treatment for a variety of problems related to health and ageing, including dementia. Light therapy is administered via light boxes, light showers, and ambient bright light using ceiling-mounted luminaires. Long-term care facilities are currently installing dynamic lighting systems with the aim to improve the well-being of residents with dementia and to decrease behavioural symptoms. The aim of this chapter is to provide an overview of the application of ceiling-mounted dynamic lighting systems as a part of intelligent home automation systems found in healthcare facilities. Examples of such systems are provided and their implementation in practice is discussed. The available, though limited, knowledge has not yet been converted into widespread implementable lighting solutions, and the solutions available are often technologically unsophisticated and poorly evaluated from the perspective of end-users. New validated approaches to the design and application of ambient bright light are needed.
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Light therapy is applied as treatment for a variety of problems related to health and ageing, including dementia. Light therapy is administered via light boxes, light showers, and ambient bright light using ceiling-mounted luminaires. Long-term care facilities are currently installing dynamic lighting systems with the aim to improve the well-being of residents with dementia and to decrease behavioural symptoms. The aim of this chapter is to provide an overview of the application of ceiling-mounted dynamic lighting systems as a part of intelligent home automation systems found in healthcare facilities. Examples of such systems are provided and their implementation in practice is discussed. The available, though limited, knowledge has not yet been converted into widespread implementable lighting solutions, and the solutions available are often technologically unsophisticated and poorly evaluated from the perspective of end-users. New validated approaches to the design and application of ambient bright light are needed.
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Light therapy is increasingly administered and studied as a non-pharmacologic treatment for a variety of healthrelated problems, including treatment of people with dementia. Light therapy comes in a variety of ways, ranging from being exposed to daylight, to being exposed to light emitted by light boxes and ambient bright light. Light therapy is an area in medicine where medical sciences meet the realms of physics, engineering and technology. Therefore, it is paramount that attention is paid in the methodology of studies to the technical aspects in their full breadth. This paper provides an extensive introduction for non-technical researchers on how to describe and adjust their methodology when involved in lighting therapy research. A specific focus in this manuscript is on ambient bright light, as it is an emerging field within the domain of light therapy. The paper deals with how to (i) describe the lighting equipment, (ii) describe the light measurements, (iii) describe the building and interaction with daylight. Moreover, attention is paid to the uncertainty in standards and guidelines regarding light and lighting for older adults.
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In this project, we explore how healthcare providers and the creative industry can collaborate to develop effective digital mental health interventions, particularly for survivors of sexual assault. Sexual assault victims face significant barriers to seeking professional help, including shame, self-blame, and fear of judgment. With over 100,000 cases reported annually in the Netherlands the need for accessible, stigma-free support is urgent. Digital interventions, such as chatbots, offer a promising solution by providing a safe, confidential, and cost-effective space for victims to share their experiences before seeking professional care. However, existing commercial AI chatbots remain unsuitable for complex mental health support. While widely used for general health inquiries and basic therapy, they lack the human qualities essential for empathetic conversations. Additionally, training AI for this sensitive context is challenging due to limited caregiver-patient conversation data. A key concern raised by professionals worldwide is the risk of AI-driven chatbots being misused as therapy substitutes. Without proper safeguards, they may offer inappropriate responses, potentially harming users. This highlights the urgent need for strict design guidelines, robust safety measures, and comprehensive oversight in AI-based mental health solutions. To address these challenges, this project brings together experts from healthcare and design fields—especially conversation designers—to explore the power of design in developing a trustworthy, user-centered chatbot experience tailored to survivors' needs. Through an iterative process of research, co-creation, prototyping, and evaluation, we aim to integrate safe and effective digital support into mental healthcare. Our overarching goal is to bridge the gap between digital healthcare and the creative sector, fostering long-term collaboration. By combining clinical expertise with design innovation, we seek to develop personalized tools that ethically and effectively support individuals with mental health problems.
