The field of multimodal systems is moving towards a more inclusive and diverse approach, with a focus on accounting for individual differences in visual perception. This includes developing systems that can simulate color perception for people with Color Vision Deficiencies (CVDs) and creating assistive technologies for people with Cerebral Visual Impairment (CVI). Researchers are exploring the use of vision-language models to evaluate and grade medical images, such as those used to assess atopic dermatitis. The development of assistive technologies for CVI is a growing area of research, with a need for more innovative solutions to support this underrepresented demographic. Noteworthy papers include: Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies, which highlights the need for multimodal systems that can account for color perceptual diversity. Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study, which reveals a significant research gap in addressing the needs of people with CVI and highlights the opportunity for the Human-Computer Interaction and Assistive Technologies research community to explore and address this underrepresented domain.