Abstract
Data-centric design approaches are increasing and are widely adopted in technology-focused companies [1, 2, 3]. The addition of data approaches to design is cherished for doing away with opinions [4] or encouraging innovation through experimentation [4, 5]. Furthermore, it has been claimed that data can play different roles in the design process in the form of a “material”, as added awareness, or as a leading and making decisions [1]. On the other hand, recent research has indicated a wide array of challenges regarding the uptake of data-centric design approaches which pertains to skills, confidence mindsets and ethics [6, 7, 8]. Recent works [1,2] have employed a dichotomous depiction of data and design to illustrate some of these challenges; On one hand data is rational, rigorous, reductive and deals with the already existing, whereas design is reflective, creative, empathetic and deals with the unknown or to-be-realized. Following these lines of research, I propose that in order for data to foster creativity in the design process, new tools and competencies for designing with data are required. This idea is consistent with theories of creativity e.g. by Amabile [9] who posits that a key component in creativity is domain-relevant skills. Rapidly advancing AI tools have the potential to bridge the potential skill-gap for working with data, and recent studies [10,11] further indicated that these tools act as an impressive skill-leveler for knowledge and creative work. This paper discusses the perspectives on using AI tools for specific data-centric design activities.
Original language | English |
---|---|
Publication date | Dec 2023 |
Publication status | Published - Dec 2023 |
Event | Data-Centric Design Symposium : Data as Human-Centred Design Material - TU Delt, Delft, Netherlands Duration: 7 Dec 2023 → 8 Dec 2023 |
Seminar
Seminar | Data-Centric Design Symposium |
---|---|
Location | TU Delt |
Country/Territory | Netherlands |
City | Delft |
Period | 07/12/2023 → 08/12/2023 |