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This paper describes the process of co-design of technological products to increase museum accessibility and engagement in visitors with mild or moderate intellectual disabilities (IDs). By using an Inclusive Research approach, a multidisciplinary team of experts, including researchers in Users Experience (UX), psychology, and education, museum curators and a group of participants with IDs (n=9) have participated as the research team. Participants with IDs were involved in two rounds of interviews. The first-round interview aimed to explore participants' use and familiarity with technologies and to understand their interest in using technological tools in different contexts. The second-round interview aimed at exploring participants' spontaneous choice between different tools classified as low (easy-to-read vs Augmentative and Alternative Communication) or high-tech (Augmented Reality) aids for acquiring new knowledge within a museum space. The analysis of the interviews revealed that there was a general consistency between previous technology use/experience/interest and the choice of ICT-based products by participants with IDs. These results highlight the importance of emphasizing a multidisciplinary dialogue and the active participation of IDs users to outline methodologies, programs, procedures, and international standards to foster inclusive access to cultural heritage.

My work explores how technology can support different forms of reading and sense-making of text and multimedia content before, during, and after a museum visit. This paper will present AIMuseum, our pilot study, and how I plan my research. My main contribution is planned to be on the design, implementation, and evaluation of tools to support reading while catering for different abilities.

This paper describes an exploration into technology design to make cultural spaces accessible to people with mild or moderate intellectual disabilities (IDs). We start by considering the role technology can play in promoting the engagement and enjoyment of cultural heritage and move on to explore how to design for rewarding user experiences in that context. For that purpose, we bave recruited a multidisciplinary team of experts, including researchers in Users Experience (UX) research, psychology, and education, to work together with practitioners skilled in the care of people with IDs. Crucial members of our research team are a small group of people with IDs who bave been working with experts in education over the years and bave an established emotional relationship with them. Together, we set out to learn from each other while exploring the design space for producing technical solutions to enhance accessibility, usability, and the overall quality of the interaction with content available to museum visitors. We describe the lesson learned in terms of the framework we devised, reflection its implications and suggest possible steps towards designing tools to enhance accessibility and engagement.

Stream processing applications have high-demanding performance requirements that are hard to tackle using traditional parallel models on modern many-core architectures, such as GPUs. On the other hand, recent dataflow computing models can naturally exploit parallelism for a wide class of applications. This work presents an extension to an existing dataflow library for Java. The library extension implements high-level constructs with multiple command queues to enable the superposition of memory operations and kernel executions on GPUs. Experimental results show that significant speedup can be achieved for a subset of well-known stream processing applications: Volume Ray-Casting, Path-Tracing and Sobel Filter.