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Interdisciplinary Design Teams Translating Ethnographic Field Data Into Design Models: Communicating Ambiguous Concepts Using Quality Goals

Interdisciplinary Design Teams Translating Ethnographic Field Data Into Design Models: Communicating Ambiguous Concepts Using Quality Goals

Jeni Paay, Leon Sterling, Sonja Pedell, Frank Vetere, Steve Howard
Copyright: © 2018 |Pages: 36
ISBN13: 9781522559696|ISBN10: 1522559698|EISBN13: 9781522559702
DOI: 10.4018/978-1-5225-5969-6.ch007
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MLA

Paay, Jeni, et al. "Interdisciplinary Design Teams Translating Ethnographic Field Data Into Design Models: Communicating Ambiguous Concepts Using Quality Goals." Innovative Methods, User-Friendly Tools, Coding, and Design Approaches in People-Oriented Programming, edited by Steve Goschnick, IGI Global, 2018, pp. 226-261. https://doi.org/10.4018/978-1-5225-5969-6.ch007

APA

Paay, J., Sterling, L., Pedell, S., Vetere, F., & Howard, S. (2018). Interdisciplinary Design Teams Translating Ethnographic Field Data Into Design Models: Communicating Ambiguous Concepts Using Quality Goals. In S. Goschnick (Ed.), Innovative Methods, User-Friendly Tools, Coding, and Design Approaches in People-Oriented Programming (pp. 226-261). IGI Global. https://doi.org/10.4018/978-1-5225-5969-6.ch007

Chicago

Paay, Jeni, et al. "Interdisciplinary Design Teams Translating Ethnographic Field Data Into Design Models: Communicating Ambiguous Concepts Using Quality Goals." In Innovative Methods, User-Friendly Tools, Coding, and Design Approaches in People-Oriented Programming, edited by Steve Goschnick, 226-261. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5969-6.ch007

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Abstract

Translating ethnographic field data to engineering requirements and design models suitable for implementing socio-technical systems is problematic. Ethnographic field data is often “messy” and unstructured, while requirements models are organized and systematic. Cooperation and communication within an interdisciplinary design team makes the process even more complicated. A shared understanding between ethnographers, interaction designers, and software engineers is vital to ensure that complex and subtle social interactions present in the data are considered in the final system design. One solution for supporting team conversations uses the quality goal construct as a container for complex and ambiguous interaction attributes. Quality goals in system modelling promote shared understandings and collaborative design solutions by retaining a high level of abstraction for as long as possible during the design process. This chapter illustrates the effectiveness of abstract goals for conveying complex and ambiguous information in the design of a socio-technical system supporting social interaction between couples.

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