Participatory IT Design: Designing for Business and Workplace Realities
By T. Ferris. IEEE Transactions on Professional Communication, 2005
364 citations recorded by the source corpus.
Subfields: Management of Technology and Innovation, Sociology and Political Science, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/57b89240ec2ba1eb867eaca6367262b6ab7c65d2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management of Technology and Innovation
In Sociology and Political Science
- Michael Sedlmair
- Miriah D. Meyer
- Tamara Munzner
- Petra Isenberg
- Tobias Isenberg
- Torsten Möller
- Jing Chen
- Alan Borning
In Human-Computer Interaction
- Alan Borning
- Michael J. Muller
- Miriah D. Meyer
- Anders Søgaard
- Tamara Munzner
- Petra Isenberg
- Torsten Möller
- Michael Sedlmair
Citations in the corpus
- A Systematic Review on the Practice of Evaluating Visualization (2013, background): “In particular, such forms of case studies are common in participatory design [6], or when following a design study methodology [59].”
- Challenges and Strategies in Cross-Cultural NLP (2022, background): “When arguing for an increasingly diverse ‘par-ticipatory design’ (Bodker et al., 2009), however, it is important to consider the values, ideologies, codes, narratives, and power relations which govern the interaction between the assemblies of actors involved in data collection and annotation.”
- Next steps for value sensitive design (2012, methodology): “A second response is to declare the researcher’s position or commitment [4,5,43,44], as is often the case in action research [40], collaborative ethnography [47], grounded theory [17], and participatory design [12,13,55,66].”
- Design Study Methodology: Reflections from the Trenches and the Stacks (2012, methodology): “The phenomenon that what a target user says they do in retrospect is only an incomplete match with their actual activities is well-known in psychology [23] and HCI [60]; most users do not accurately introspect about their own data analysis and visualization needs, making these needs invisible to the”