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In recent years, Artificial Intelligence has become more and more relevant in our society. Creating AI systems is almost always the prerogative of IT and AI experts. However, users may need to create intelligent solutions tailored to their specific needs. In this way, AI systems can be enhanced if new approaches are devised to allow non-technical users to be directly involved in the definition and personalization of AI technologies. End-User Development (EUD) can provide a solution to these problems, allowing people to create, customize, or adapt AI-based systems to their own needs. This paper presents a systematic literature review that aims to shed the light on the current landscape of EUD for AI systems, i.e., how users, even without skills in AI and/or programming, can customize the AI behavior to their needs. This study also discusses the current challenges of EUD for AI, the potential benefits, and the future implications of integrating EUD into the overall AI development process., Comment: This version did not undergo peer-review. A corrected version is published by Springer Nature in the Proceedings of 9th International Syposium on End-User Development (ISEUD 2023). DOI: https://doi.org/10.1007/978-3-031-34433-6_2

Publisher Copyright: © 2022 ACM. Integrating User-Centred Design (UCD) methods into the first phases of software development projects has its challenges. A new process called the User-Centred Design Sprint process, UCD Sprint for short, has been suggested to support the project team during concept design. The tutorial introduces the UCD Sprint process, and participants practice two less-known methods that are part of the sprint: the User Group Analysis method and stating user experience goals. By the end of the tutorial, participants know why, when, and how to use the UCD Sprint process. This tutorial appeals to researchers and developers working in the concept design phase of designing software products, focusing on users that might be different from the developers.

We present IntraVox, a novel voice-based interaction system that supports users with complex needs by introducing a highly personalized, human voice command between smart home devices and sensors. Voice-enabled personal assistants (e.g., Amazon Alexa, Google Home) can be used to control smart home devices and increase the quality of life. However, people suffering from conditions such as dementia or learning disabilities and autism (LDA) can encounter verbal and memory problems in communicating with the assistants. IntraVox supports these users by verbally sending smart home control commands, based on the sensor data collected, to a voice-enabled personal assistant using a human voice. Over 12 months, we conducted 7 workshops and 9 interviews with 79 participants from multiple stakeholder categories - people with LDA, older and frail people, social and health care organisations. Results show that our solution has the potential to support people with complex needs and increase independence. Moreover, IntraVox could have the added value of reinforcing the learning of specific commands and making visible the inner workings of a home automation system, by giving users a clear cause-and-effect explanation of why certain events occur.

Mainstream display technologies have progressed towards higher resolutions and contrast levels. However, for IoT applications, where displays are embedded in the environment, there are requirements to optimize displays for lower power consumption or minimal environmental impact, potentially sacrificing contrast or switching time. We approach this issue by considering the spatial design of UI components. As a first step, we explore switch type UI components (e.g., check box, toggle switch) and evaluate the performance of 4 alternative spatial designs at low contrast levels. As a contribution, we open the issue of spatial UI design for low contrast and demonstrate an approach for its evaluation.