Making sense of data through service design – opportunities and reflections

Prendiville, Alison; Gwilt, Ian; Mitchell, Val

doi:10.5040/9781474250160.ch-016

Cited by 10 publications

(10 citation statements)

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“…The use of cultural probes and other distributed data collection tools including citizen science approaches are recognized as distributed techniques for the democratic collection of data (Silvertown, 2009;Woods et al, 2018). However, co-design practice often relies on the data collected through these techniques being brought back into a central 'workshop' space (Prendiville et al, 2017).…”

Section: 'Where' Should And/or Can Co-design Take Place?mentioning

confidence: 99%

Low-Contact Co-Design: Considering more flexible spatiotemporal models for the co-design workshop

Davis

Wallace

Langley

et al. 2021

SDRJ

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The recent global experience of COVID-19 has problematized the face-to-face co-design process and forced co-design researchers and practitioners to rethink the process of collaboration that typically takes place in a co-design workshop. This paper considers how we might continue to co-design when physical proximity is not possible. Recognising that technology has long played a role in co-design practice, we argue that to date, the technologically mediated experience of co-design has been largely based on the assumption of replicating the physical and embodied experience of the co-design workshop. Rather than accepting the deficit culture implied through the curtailing of much of the conventional face-to-face activities we associate with co-design, this paper reports on proactive research into novel possibilities for continuing collaborative research work through the concept of ‘low-contact co-design’. A series of proprietary visual models that explore a range of spatiotemporal conditions within which co-design practices can occur are presented. Opportunities for engaging with new communities, and in new processes are highlighted and a spatiotemporal framework for planning co-design processes is presented.

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Section: 'Where' Should And/or Can Co-design Take Place?mentioning

confidence: 99%

Low-Contact Co-Design: Considering more flexible spatiotemporal models for the co-design workshop

Davis

Wallace

Langley

et al. 2021

SDRJ

Self Cite

View full text Add to dashboard Cite

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“…In this way, data provides valuable information for designers, leading to better outcomes by optimising timing and resources within the design process. According to Prendiville et al (2017), through the application of processes of interpretation, visualisation and persuasion, the design ensures data turns the abstract and intangible aspects of data into human-centred services providing both social and economic significance. Data-based models are used in engineering both with the analytical objective of predicting the value of a variable and with the descriptive objective of understanding and discovering patterns in the available data (Anand & Buchner, 1998).…”

Section: Data In the Design Processmentioning

confidence: 99%

Creativity Forward: A Framework That Integrates Data Analysis Techniques to Foster Creativity Within the Creative Process in User Experience Contexts

Gómez

2021

Creativity Studies

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The latest technological advancements allow users to generate a large volume of data related to their experiences and needs. However, the absence of an advanced methodology that links the big data and the creative process prevents the effective use of the data and extracting all its potential and knowledge in this context, which is crucial in offering user-centred solutions. Incorporating data creatively and critically as design material can help us learn and understand user needs better. Therefore, design can bring deeper meaning to data, just as data can enhance design practice. Accordingly, this work raises a reflection on whether designers could appropriate the workflow of data science in order to integrate it into the research process in the creative process within a framework of user experience analysis. The proposed model: data-driven design model, enhances the exploratory design of problem space and assists in the creation of ideas during the conceptual design phase. In this way, this work offers an integrated vision, enhancing creativity in industrial design as an instrument for the achievement of the proper and necessary balance between intuition and reason, design, and science.

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“…Meaning making is essential in the process of design. Personalization, a key activity in sensemaking [15] is essential in the context of digital fabrication [3,4,5,6,11]. Meaningful interaction with technology is inspired by both the physical and social phenomena of everyday life.…”

Section: Meaning Making With Fabricated Objectsmentioning

confidence: 99%

Meanings in Digital Fabrication

Georgiev

2019

Proceedings of the FabLearn Europe 2019 Conference

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The aim of this study is to investigate the drivers of physical realization of meaningful objects, in particular, how these drivers can contribute to prototyping of products. An intensive digital fabrication workshop, a part of a summer school, is used as a case study. We discuss the results of the workshop in terms of the background of the participants and their motivation in the perspective of the rationale of their prototypes. We identify how the background and motivation of teams of the participants influenced the meaning making in digitally fabricated prototypes.

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Making sense of data through service design – opportunities and reflections

Cited by 10 publications

References 0 publications

Low-Contact Co-Design: Considering more flexible spatiotemporal models for the co-design workshop

Low-Contact Co-Design: Considering more flexible spatiotemporal models for the co-design workshop

Creativity Forward: A Framework That Integrates Data Analysis Techniques to Foster Creativity Within the Creative Process in User Experience Contexts

Meanings in Digital Fabrication

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