Qualitative adaptation: informing design for risk-based decision-making.

M'manga, Andrew; Faily, Shamal; McAlaney, John; Williams, Chris; Kadobayashi, Youki; Miyamoto, Daisuke

Abstract

Research on decision-making during risk and uncertainty facilitates risk-based decision-making, by understanding techniques that decision-makers use to arrive at informed decisions. Approaches to the research usually involve a mix of cognitive techniques for information discovery and sense-making; these were methodologically not intended to inform design. We detail our experience in applying qualitative techniques to elicit persona characteristics from risk-based decision making data.

Citation

M'MANGA, A., FAILY, S., MCALANEY, J., WILLIAMS, C., KADOBAYASHI, Y. and MIYAMOTO, D. 2018. Qualitative adaptation: informing design for risk-based decision-making. In Proceedings of the 2nd Workshop on the challenges and opportunities for qualitative data research methods in HCI, co-located with the 32nd International BCS human computer interaction conference (HCI 2018), 3 July 2018, Belfast, UK. Swindon: BCS [online], article number 216. Available from: https://doi.org/10.14236/ewic/HCI2018.216

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2nd Workshop on the challenges and opportunities for qualitative data research methods in HCI, co-located with the 32nd International BCS human computer interaction conference (HCI 2018)
• Start Date: Jul 3, 2018
• Acceptance Date: May 15, 2018
• Online Publication Date: Jul 31, 2018
• Publication Date: Jul 31, 2018
• Deposit Date: Dec 9, 2021
• Publicly Available Date: Dec 9, 2021
• Publisher: BCS, The Chartered Institute for IT
• Peer Reviewed: Peer Reviewed
• Series Title: Electronic workshops in computing
• Series ISSN: 1477-9358
• DOI: https://doi.org/10.14236/ewic/HCI2018.216
• Keywords: Risk analysis; Decision-making; User personas; User behaviour; Systems security
• Public URL: https://rgu-repository.worktribe.com/output/1437878