Next steps for value sensitive design

By Alan Borning, Michael J. Muller. International Conference on Human Factors in Computing Systems, 2012

380 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/91c38165083c28af1d0a58fe654b6acea314eb6b

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Citations in the corpus

WeBuildAI (2019, background): “In participatory design, the researchers and users of a technology share power and control in determining its technological future [15, 59, 80], so that the stakeholders or populations that the technology will influence have a say in the resulting design, and the technology can better reflect their…”
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency (2021, background): “These have been long standing topics of research within the HCI community [4, 12, 22, 36, 37, 68].”
Turkopticon: interrupting worker invisibility in amazon mechanical turk (2013, background): “We highlight our own stances under advisement of Borning and Muller who, with many feminist scholars, call for researchers to shed trappings of objective authority and account for how our own contexts and assumptions shape our research practices [7].”
Service Design in HCI Research: The Extended Value Co-creation Model (2019, background): “Furthermore, in value sensitive design (VSD) literature, Borning and Muller [7] criticized the publication norms in HCI, in which researchers are instructed to anonymize their work and to use a disembodied voice in reporting their investigations.”
The Dark (Patterns) Side of UX Design (2018, background): “VSD has been critiqued for its inadequate guidance in informing value classifications, selecting appropriate empirical instruments, and ordering of the design process [48], however there has been sustained interest in finding ways to build value-discovery and action into the design process [13, 44].”
Critical Race Theory for HCI (2020, background): “Reﬂexivity – being self-aware and conscious of one’s own station and biases as they might affect research and writing – is something that most HCI researchers acknowledge as important [15, 109].”