Dezembro 2021 vol. 9 num. 5 - 14th International Conference of the European Academy of Design, Safe Harbours for Design Research

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Can Designers Take the Driver’s Seat? A New User-Centered Process to Design with Data and Machine Learning

Can Designers Take the Driver’s Seat? A New User-Centered Process to Design with Data and Machine Learning

Colombo, Sara ; Costa, Camilla ;

Full Paper:

In this paper, we describe a new design process to use data and machine learning (ML) as design materials in generating new, user-centered adaptive systems. Through a case study, we show the possibilities and limits of designing with ML, how UX and ML aspects need to be handled in parallel when envisioning and developing new solutions, and their mutual influence. We argue that designers can autonomously envision and design user-centered, ML-enabled systems if they acquire basic knowledge of ML principles. However, some steps require close collaboration with ML experts. In this new process, designers are involved in both human- and data-centered activities and should use ad-hoc tools to properly operate in this field. The resulting process described in this paper is characterized by uncertainty and risk of failure, which raise concerns about its applicability in any design context. However, it provides a possible path for design-driven innovation through data and ML.

Full Paper:

In this paper, we describe a new design process to use data and machine learning (ML) as design materials in generating new, user-centered adaptive systems. Through a case study, we show the possibilities and limits of designing with ML, how UX and ML aspects need to be handled in parallel when envisioning and developing new solutions, and their mutual influence. We argue that designers can autonomously envision and design user-centered, ML-enabled systems if they acquire basic knowledge of ML principles. However, some steps require close collaboration with ML experts. In this new process, designers are involved in both human- and data-centered activities and should use ad-hoc tools to properly operate in this field. The resulting process described in this paper is characterized by uncertainty and risk of failure, which raise concerns about its applicability in any design context. However, it provides a possible path for design-driven innovation through data and ML.

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Palavras-chave: machine learning, user experience, design process, design-driven innovation,

Palavras-chave: machine learning, user experience, design process, design-driven innovation,

DOI: 10.5151/ead2021-169

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Como citar:

Colombo, Sara; Costa, Camilla; "Can Designers Take the Driver’s Seat? A New User-Centered Process to Design with Data and Machine Learning", p. 435-446 . In: 14th International Conference of the European Academy of Design, Safe Harbours for Design Research. São Paulo: Blucher, 2021.
ISSN 2318-6968, DOI 10.5151/ead2021-169

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