Optometrists' Perspectives Regarding Artificial Intelligence Aids and Contributing Retinal Images to a Repository: Web-Based Interview Study.

BACKGROUND: A repository of retinal images for research is being established in Scotland. It will permit researchers to validate, tune, and refine artificial intelligence (AI) decision-support algorithms to accelerate safe deployment in Scottish optometry and beyond. Research demonstrates the potential of AI systems in optometry and ophthalmology, though they are not yet widely adopted. OBJECTIVE: In this study, 18 optometrists were interviewed to (1) identify their expectations and concerns about the national image research repository and their use of AI decision support and (2) gather their suggestions for improving eye health care. The goal was to clarify attitudes among optometrists delivering primary eye care with respect to contributing their patients' images and to using AI assistance. These attitudes are less well studied in primary care contexts. Five ophthalmologists were interviewed to discover their interactions with optometrists. METHODS: Between March and August 2021, 23 semistructured interviews were conducted online lasting for 30-60 minutes. Transcribed and pseudonymized recordings were analyzed using thematic analysis. RESULTS: All optometrists supported contributing retinal images to form an extensive and long-running research repository. Our main findings are summarized as follows. Optometrists were willing to share images of their patients' eyes but expressed concern about technical difficulties, lack of standardization, and the effort involved. Those interviewed thought that sharing digital images would improve collaboration between optometrists and ophthalmologists, for example, during referral to secondary health care. Optometrists welcomed an expanded primary care role in diagnosis and management of diseases by exploiting new technologies and anticipated significant health benefits. Optometrists welcomed AI assistance but insisted that it should not reduce their role and responsibilities. CONCLUSIONS: Our investigation focusing on optometrists is novel because most similar studies on AI assistance were performed in hospital settings. Our findings are consistent with those of studies with professionals in ophthalmology and other medical disciplines: showing near universal willingness to use AI to improve health care, alongside concerns over training, costs, responsibilities, skill retention, data sharing, and disruptions to professional practices. Our study on optometrists' willingness to contribute images to a research repository introduces a new aspect; they hope that a digital image sharing infrastructure will facilitate service integration.

Digitally-Mediated Social Stories Support Children on the Autism Spectrum Adapting to a Change in a 'Real-World' Context.

Social Stories™ (SS) is a widely used intervention for children on the autism spectrum. A preliminary survey of 103 practitioners highlighted that SS are often used to support adapting to a change. This study investigated the use of digitally-mediated SS to support ten children on the autism spectrum attending a school summer camp. Teacher perceptions of anxiety, understanding and closeness to the goal of the SS were assessed before and after the intervention (prior to the event). The pre- post-intervention comparisons highlighted significant improvements in child understanding, anxiety, and closeness to goal with medium-large effect sizes. The child's understanding and closeness to SS goal post-intervention related to their difficulties with the SS goal and their anxiety during the event.

Distributing participation in design: Addressing challenges of a global pandemic.

Participatory Design (PD) - whose inclusive benefits are broadly recognised in design - can be very challenging, especially when involving children. The recent COVID-19 pandemic has given rise to further barriers to PD with such groups. One key barrier is the advent of social distancing and government-imposed social restrictions due to the additional risks posed for e.g. children and families vulnerable to COVID-19. This disrupts traditional in-person PD (which involves close socio-emotional and often physical collaboration between participants and researchers). However, alongside such barriers, we have identified opportunities for new and augmented approaches to PD across distributed geographies, backgrounds, ages and abilities. We examine Distributed Participatory Design (DPD) as a solution for overcoming these new barriers, during and after COVID-19. We offer new ways to think about DPD, and unpick some of its ambiguities. We do this through an examination of the results from an online Interaction Design and Children (IDC) 2020 workshop. The workshop included 24 researchers with experience in PD, in a range of forms, in the context of children. Initially designed to take place in-person and to include a design session with children in a school in London, the workshop was adjusted to an online format in response to the COVID-19 pandemic. Despite the adverse circumstances, we discovered that the unexpected change of the workshop style from in-person to online was an opportunity and an impetus for us to address the new PD challenges of the global pandemic. In this article we contribute seven themes which were revealed during our IDC workshop, providing guidance on important areas for consideration when planning and conducting PD in the context of a global pandemic. With a focus on the term 'distributed', we offer insights on how DPD can be applied and explored in these circumstances with child participants. We conclude with a number of lessons learned, highlighting the opportunities and challenges DPD offers to enable continued co-design during a global pandemic. In particular, DPD provides greater access for some populations to be involved in PD, but technical and social challenges must be addressed.