Designing for Uncertain Futures: An Anticipatory Approach

Moesgen, Tim; Salovaara, Antti; Epp, Felix A.; Sanchez, Camilo

doi:10.1145/3624698

Cited by 3 publications

References 3 publications

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Uncertainties as Generative Resources in Research through Design: Three Dynamics for Moving in a Design Space

Epp,

Rosén,

Salovaara

et al. 2024

ACM Trans. Comput.-Hum. Interact.

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In HCI and design research, it has recently been suggested that, instead of risks and threats, uncertainties can be generative resources. This aligns particularly well with practice-based design research and research through design (RtD), where uncertainties are pervasive and unavoidable due to the approach's interest in open-ended problems, contexts under transformation, and unknown futures. Building on the idea that uncertainties drive design activity, we describe the design process as framing acts where a designer-researcher moves along perceived uncertainties. We identify three dynamics for a generative mode of working with uncertainties that can make designers aware of uncertainties, circle in towards those that appear essential while seeking to avoid others, and stay with those that offer new perspectives. We exemplify these dynamics by drawing from our experiences from three RtD projects and highlight this viewpoint's value in providing new reflective tools for designer-researchers.

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Uncertainties as Generative Resources in Research through Design: Three Dynamics for Moving in a Design Space

Epp,

Rosén,

Salovaara

et al. 2024

ACM Trans. Comput.-Hum. Interact.

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The Cassandra Method: Dystopian Visions as a Basis for Responsible Design

Diefenbach,

Ullrich

2024

Itise 2024

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Responsible Automation: Exploring Potentials and Losses through Automation in Human–Computer Interaction from a Psychological Perspective

Diefenbach,

Ullrich,

Lindermayer

et al. 2024

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Robots and smart technologies are becoming part of everyday life and private households. While this automation of mundane tasks typically creates pragmatic benefits (e.g., efficiency, accuracy, time savings), it may also come with psychological losses, such as in meaning, competence, or responsibility. Depending on the domain (e.g., AI-assisted surgery, automated decision making), especially the user’s felt responsibility could have far-reaching consequences. The present research systematically explores such effects, building a more structured base for responsible automation in human–computer interaction (HCI). Based on a framework of seven dimensions, study 1 (N = 122) evaluates users’ reflections on automating five mundane tasks (e.g., gardening, paperwork) and identifies reasons for or against automation in different domains (e.g., creativity, care work, decision making). Study 2 (N = 57) provides deeper insights into effects of automation on responsibility perceptions. Based on the example of a vacuum cleaner robot, an experimental laboratory study contrasted a non-robotic manual vacuum cleaner to a robot, whereby the user’s perceptions of device agency (higher for the robot) and own competence (higher for the manual device) were central mediators for the perceived responsibility for the result. We position our findings as part of a broader idea of responsible design and automation from a user-centered design perspective.

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Designing for Uncertain Futures: An Anticipatory Approach

Cited by 3 publications

References 3 publications

Uncertainties as Generative Resources in Research through Design: Three Dynamics for Moving in a Design Space

Uncertainties as Generative Resources in Research through Design: Three Dynamics for Moving in a Design Space

The Cassandra Method: Dystopian Visions as a Basis for Responsible Design

Responsible Automation: Exploring Potentials and Losses through Automation in Human–Computer Interaction from a Psychological Perspective

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