Understanding the role of designers' personal experiences in interaction design practice

Zhang, Xiao; Wakkary, Ron

doi:10.1145/2598510.2598556

Cited by 30 publications

(4 citation statements)

References 17 publications

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“…In design work, using your own subjective stance as a resource to ground design decisions is a recognised method [35,32], even if still seen as quite controversial as it does not guarantee that the design will be of use to anyone else. This subjective stance leverages designers' emotions [43,44] and personal experiences [67]. Overall, a first-person design stance breaks with the user-centred processes advocated in HCI.…”

Section: First-person Perspectivementioning

confidence: 99%

From Biodata to Somadata

Alfaras

Tsaknaki

Sanches

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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Biosensing technologies are increasingly available as offthe-shelf products, yet for many designers, artists and nonengineers, these technologies remain difficult to design with. Through a soma design stance, we devised a novel approach for exploring qualities in biodata. Our explorative process culminated in the design of three artefacts, coupling biosignals to tangible actuation formats. By making biodata perceivable as sound, in tangible form or directly on the skin, it became possible to link qualities of the measurements to our own somatics-our felt experience of our bodily bioprocessesas they dynamically unfold, spurring somatically-grounded design discoveries of novel possible interactions. We show that making biodata attainable for a felt experience-or as we frame it: turning biodata into somadata-enables not only first-person encounters, but also supports collaborative design processes as the somadata can be shared and experienced dynamically, right at the moment when we explore design ideas.

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Section: First-person Perspectivementioning

confidence: 99%

From Biodata to Somadata

Alfaras

Tsaknaki

Sanches

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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“…Bardzell and Bardzell call for the voice of the researcherthe 'expert subject'-in humanistic writing [2,3]. Similarly, Zhang and Wakkary support the use of designers' personal experiences to augment understanding [67]. However, the intuitive, pragmatic ways in which performer/researchers work often challenge mainstream academic convention.…”

Section: Discussionmentioning

confidence: 99%

Performing Research

Taylor

Spence

Walker

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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This paper identifies a body of HCI research wherein the researchers take part in digitally mediated creative experiences alongside participants. We present our definition and rationale for 'self-situated performance research' based on theories in both the HCI and performance literatures. We then analyse four case studies of this type of work, ranging from overtly 'performative' staged events to locative audio and public making. We argue that by interrogating experience from within the context of self-situated performance, the 'performer/researcher' extends traditional practices in HCI in the following four ways: developing an intimate relationship between researchers and participants, providing new means of making sense of interactions, shaping participants' relationship to the research, and enabling researchers to refine their work as it is being conducted.

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“…However, this is often tacit knowledge that an expert designer acquires after many years of professional training. The ability to use design methods creatively and flexibly while taking into account the mismatch between research and practice (Roedl and Stolterman, 2013) requires years of training and experience (Rivard and Faste, 2012;Zhang and Wakkary, 2014). Compared to design experts, novices' limited design background knowledge and experience lead to different design habits (Björklund, 2013).…”

Section: Differences Between Design Experts and Novicesmentioning

confidence: 99%

Situational selections of design methods for digital innovation processes

Liu,

Werder,

Maedche

et al. 2023

IJIS

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Purpose Numerous design methods are available to facilitate digital innovation processes in user interface design. Nonetheless, little guidance exists on their appropriate selection within the design process based on specific situations. Consequently, design novices with limited design knowledge face challenges when determining suitable methods. Thus, this paper aims to support design novices by guiding the situational selection of design methods. Design/methodology/approach Our research approach includes two phases: i) we adopted a taxonomy development method to identify dimensions of design methods by reviewing 292 potential design methods and interviewing 15 experts; ii) we conducted focus groups with 25 design novices and applied fuzzy-set qualitative comparative analysis to describe the relations between the taxonomy's dimensions. Findings We developed a novel taxonomy that presents a comprehensive overview of design conditions and their associated design methods in innovation processes. Thus, the taxonomy enables design novices to navigate the complexities of design methods needed to design digital innovation. We also identify configurations of these conditions that support the situational selections of design methods in digital innovation processes of user interface design. Originality/value The study’s contribution to the literature lies in the identification of both similarities and differences among design methods, as well as the investigation of sufficient condition configurations within the digital innovation processes of user interface design. The taxonomy helps design novices to navigate the design space by providing an overview of design conditions and the associations between methods and these conditions. By using the developed taxonomy, design novices can narrow down their options when selecting design methods for their specific situations.

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Understanding the role of designers' personal experiences in interaction design practice

Cited by 30 publications

References 17 publications

From Biodata to Somadata

From Biodata to Somadata

Performing Research

Situational selections of design methods for digital innovation processes

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