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Brian M. Kleiner

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Publications by Brian M. Kleiner (bibliography)

2010

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Montague, Enid N. H., Winchester, Woodrow W. and Kleiner, Brian M. (2010): Trust in medical technology by patients and healthcare providers in obstetric work systems. In Behaviour and Information Technology, 29 (5) pp. 541-554.

“Multiple types of users (i.e. patients and care providers) have experiences with the same technologies in healthcare environments and may have different processes for developing trust in those technologies. The objective of this study was to assess how patients and care providers make decisions about the trustworthiness of mutually used medical technology in an obstetric work system. Using a grounded theory methodology, we conducted semi-structured interviews with 25 patients who had recently given birth and 12 obstetric healthcare providers to examine the decision-making process for developing trust in technologies used in an obstetric work system. We expected the two user groups to have similar criteria for developing trust in the technologies, though we found patients and physicians differed in processes for developing trust. Trust in care providers, the technologies' characteristics and how care providers used technology were all related to trust in medical technology for the patient participant group. Trustworthiness of the system and trust in self were related to trust in medical technology for the physician participant group. Our findings show that users with different perspectives of the system have different criteria for developing trust in medical technologies.”

1989

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Kleiner, Brian M., Drury, Colin G., Sharit, Joseph and Czaja, Sara J. (1989): Evaluating the Effects of Automation on the Human Operator. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 733-736.

“This study was designed to evaluate the symbiosis of human-machine systems with varying levels of automation. This paper focuses on the protocol methodology employed in the study. The approach required the use of both qualitative and quantitative techniques to derive a comprehensive evaluation of the human-machine system. Protocol Analysis supported by ethnographic software was used to evaluate the verbal transcripts. A qualitative process of code mapping and analysis was developed. The Modified Cooper-Harper scale was used to evaluate mental workload and objective measures of performance provided quantitative data of the system. The results confirmed the usefulness of a proposed classification scheme for human-machine systems. Using the methodology, human capabilities could be assessed against system demands for various configurations of a human-machine system. The importance of understanding the human's role in increasingly automated systems was again demonstrated.”

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