Lead users: a source of novel product concepts
Management Science
Organizational obstacles to interface design and development: two participant-observer studies
ACM Transactions on Computer-Human Interaction (TOCHI)
A user-centered design approach to personalization
Communications of the ACM
Sorting things out: classification and its consequences
Sorting things out: classification and its consequences
Rationalizing Medical Work: Decision-Support Techniques and Medical Practices
Rationalizing Medical Work: Decision-Support Techniques and Medical Practices
Participatory Design: Issues and Concerns
Computer Supported Cooperative Work
Participatory It Design: Designing for Business and Workplace Realities
Participatory It Design: Designing for Business and Workplace Realities
Identifying and selecting users for user-centered design
Proceedings of the third Nordic conference on Human-computer interaction
Selecting and evoking innovators: combining democracy and creativity
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Characterizing the diversity in users' perceptions
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
| Hi-index | 0.00 |
Participatory Design (PD) attracts great attention from designers working within healthcare, but also faces important challenges. In this paper we describe how the high complexity and heterogeneity in healthcare creates conceptual and pragmatic barriers for user participation. We study the notion of 'users' in traditional PD and argue that PD can benefit from exploring ways to segment users that goes beyond the existing approaches. We put forth the question 'can users in PD be involved in any other meaningful way, than as one group of representatives for the multiplicity of user needs?', and look to two other traditions, marketing and innovation studies, to explore how the understanding of segmentation in these traditions can contribute to the development of guidelines for user segmentation in PD. Guidelines not solely based on representativeness, but on skills, personal preferences and/or perceptions.