Abstract
Advancements in AI and ML approaches are the reason for the current hype of this technology. A lot of products and services, either in consumer-facing solutions, as well as in the industrial context, embrace the advancement of smart algorithms. Designing such systems entails several challenges, including designing for black-box decision-making with a potentially infinite and unknown set of UI manifestations, delivering easy-to-understand explanations, involving end-users in requirements specification and product evaluation, and communication with software engineers and data scientists among others. Although designers are today equipped with several UX tools for capturing and presenting users’ experience with the products they are designing, the question that arises in the AI context is whether and how existing contemporary tools can adapt and scale to support the design of AI-enabled interactive systems. Therefore, AI and ML are perceived as a new design material. This work aims to assist researchers and practitioners involved in AI-infused projects by proposing a framework to collect and document these. The framework was designed following a workshop with representative stakeholders, through which different use cases were presented and elaborated. Evaluation of the framework highlighted that it is an easy to use and useful tool for documenting use cases and communicating them to a wide audience.
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Acknowledgements
We want to thank all our workshop participants for their input, time, and contribution: Shreya Chopra, Helmut Degen, Swati Padhee, Thomas Palazollo, Adina Panchea, Robert Reynolds, Nestor Rychtyckyj, Marjorie Skubic (arranged in alphabetical order).
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Moosbrugger, J., Ntoa, S. (2022). A Unified Framework to Collect and Document AI-Infused Project Exemplars. In: Chen, J.Y.C., Fragomeni, G., Degen, H., Ntoa, S. (eds) HCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence. HCII 2022. Lecture Notes in Computer Science, vol 13518. Springer, Cham. https://doi.org/10.1007/978-3-031-21707-4_29
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