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- W3030449072 abstract "Machine learning offers great potential to developers and end users in the creative industries.However, to better support creative software developers' needs and empower them as machinelearning users and innovators, the usability of and developer experience with machine learningtools must be considered and better understood. This thesis asks the following research questions:How can we apply a user-centred approach to the design of developer tools for rapid prototypingwith Interactive Machine Learning? In what ways can we design better developer tools to accelerateand broaden innovation with machine learning?This thesis presents a three-year longitudinal action research study that I undertook within amulti-institutional consortium leading the EU H2020 -funded Innovation Action RAPID-MIX. Thescope of the research presented here was the application of a user-centred approach to the designand evaluation of developer tools for rapid prototyping and product development with machinelearning. This thesis presents my work in collaboration with other members of RAPID-MIX,including design and deployment of a user-centred methodology for the project, interventions forgathering requirements with RAPID-MIX consortium stakeholders and end users, and prototyping,development and evaluation of a software development toolkit for interactive machine learning.This thesis contributes with new understanding about the consequences and implications of auser-centred approach to the design and evaluation of developer tools for rapid prototyping ofinteractive machine learning systems. This includes 1) new understanding about the goals, needs,expectations, and challenges facing creative machine-learning non-expert developers and 2) anevaluation of the usability and design trade-offs of a toolkit for rapid prototyping with interactivemachine learning. This thesis also contributes with 3) a methods framework of User-CentredDesign Actions for harmonising User-Centred Design with Action Research and supporting thecollaboration between action researchers and practitioners working in rapid innovation actions,and 4) recommendations for applying Action Research and User-Centred Design in similar contextsand scale." @default.
- W3030449072 created "2020-06-05" @default.
- W3030449072 creator A5050572211 @default.
- W3030449072 date "2020-01-31" @default.
- W3030449072 modified "2023-09-23" @default.
- W3030449072 title "Interactive Machine Learning for User-Innovation Toolkits – An Action Design Research approach" @default.
- W3030449072 hasPublicationYear "2020" @default.
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