Alle Publikationen
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2011
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(2011): Adaptive aiding of human-robot teaming: Effects of imperfect automation on performance, trust, and workload. In: Journal of Cognitive Engineering and Decision Making 5 (2), S. 209-231. DOI: 10.1177/1555343411410160
DOI: https://doi.org/10.1177/1555343411410160 Abstract: [Correction Notice: An erratum for this article was reported in Vol 5(3) of Journal of Cognitive Engineering and Decision Making (see record [rid]2011-18021-005[/rid]). In the original article, the data in Tables 3 and 4 were switched. The corrected Tables 3 and 4 is given in the erratum.] In many emerging civilian and military operations, human operators are increasingly being tasked to supervise multiple robotic uninhabited vehicles (UVs) with the support of automation. As 100% automation reliability cannot be assured, it is important to understand the effects of automation imperfection on performance. In addition, adaptive aiding may help counter any adverse effects of static (fixed) automation. Using a high-fidelity multi-UV simulation involving both air and ground vehicles, two experiments examined the effects of automation reliability and adaptive automation on human-system performance with different levels of task load. In Experiment 1, participants performed a reconnaissance mission while assisted with an automatic target recognition (ATR) system whose reliability was low, medium, or high. Overall human-robot team performance was higher than with either human or ATR performance alone. In Experiment 2, participants performed a similar reconnaissance mission with no ATR, static automation, or with adaptive automation keyed to task load. Participant trust and self-confidence were higher and workload was lower for adaptive automation compared with the other conditions. The results show that human-robot teams can benefit from imperfect static automation even in high task load conditions and that adaptive automation can provide additional benefits in trust and workload. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
2008
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(2008): Value of wireless personal digital assistants for practice: perceptions of advanced practice nurses. In: Journal of clinical nursing 17 (16), S. 2146-2154. DOI: 10.1111/j.1365-2702.2008.02351.x
DOI: http://www.ncbi.nlm.nih.gov/pubmed/18705736 Abstract: AIMS AND OBJECTIVES The aims were to explore advanced practice nurses' perceptions on wireless Personal Digital Assistant technologies, to establish the type and range of tools that would be useful to support their practice and to identify any requirements and limitations that may impact the implementation of wireless Personal Digital Assistants in practice. BACKGROUND The wireless Personal Digital Assistant is becoming established as a hand-held computing tool for healthcare professionals. The reflections of advanced practice nurses' about the value of wireless Personal Digital Assistants and its potential to contribute to improved patient care has not been investigated. DESIGN A qualitative interpretivist design was used to explore advanced practice nurses' perceptions on the value of wireless Personal Digital Assistant technologies to support their practice. METHODS The data were collected using survey questionnaires and individual and focus group interviews with nurse practitioners, clinical nurse specialists and information technology managers based in British Columbia, Canada. An open-coding content analysis was performed using qualitative data analysis software. RESULTS Wireless Personal Digital Assistant's use supports the principles of pervasivity and is a technology rapidly being adopted by advanced practice nurses. Some nurses indicated a reluctance to integrate wireless Personal Digital Assistant technologies into their practices because of the cost and the short technological life cycle of these devices. Many of the barriers which precluded the use of wireless networks within facilities are being removed. Nurses demonstrated a complex understanding of wireless Personal Digital Assistant technologies and gave good rationales for its integration in their practice. CONCLUSIONS Nurses identified improved client care as the major benefit of this technology in practice and the type and range of tools they identified included clinical reference tools such as drug and diagnostic/laboratory reference applications and wireless communications. RELEVANCE TO CLINICAL PRACTICE Nurses in this study support integrating wireless mobile computing technologies into their practice to improve client care.
Keywords: Assistenz, Attitude of Health Personnel, Attitude to Computers, British Columbia, computer literacy, Computers, Handheld, Data Collection, Decision Support Systems, Clinical, Drug Information Services, Focus Groups, Health Knowledge, Attitudes, Practice, Humans, Medical Records Systems, Computerized, Mensch-Roboter-Interaktion, Motivation, Nurse Clinicians/education/organization & administration/psychology, Nurse Practitioners/education/organization & administration/psychology, Nurse's Role/psychology, Nursing Methodology Research, Qualitative research, Quality of Health Care, Surveys and Questionnaires, Technology Assessment, Biomedical, Time Management, Workload
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