Number of co-authors:29
Number of publications with 3 favourite co-authors:Adrian Musters:3David Gerritsen:2Dwayne R. Westenskow:2
Frank Drews's 3 most productive colleagues in number of publications:Alissa L. Russ:9Andrew Raij:9Elizabeth H. Lazza..:8
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Publications by Frank Drews (bibliography)
Gerritsen, David, Gagnon, Kyle, Stefanucci, Jeanine and Drews, Frank (2012): I'd Like to Introduce You to My Desktop: Toward a Theory of Social Human-Computer Interaction. In: Proceedings of the Human Factors and Ergonomics Society 2012 Annual Meeting 2012. pp. 2098-2102.
Entire industries have grown up around the physiological, cognitive, and economic demands of technology on users, but there is little research into the specific psychological processes and implications of the social function of human-computer interaction (HCI), especially when the computer is programmed to mimic human norms. To understand this issue better, it is necessary to find the limits of what HCI with social capacity means. The Computers are Social Actors paradigm, or CASA (Reeves&Nass, 1996) began this exploration. We begin by replicating aspects of a study on acts of reciprocity toward a computer (Fogg 1997), then we consider the role of agreeableness in the number of favors a human performs for a computer. Finally, we examine individual differences in styles of altruism and if a strange computer is treated similarly to an unknown human. We hypothesize a) that a helpful computer elicits more favors than an unhelpful computer, b) that high agreeable people are more generous to a software agent than low agreeable people, and c) that a positive correlation exists between the number of favors performed for a computer and an individual's trait of reciprocal altruism. Data analysis of 54 participants shows that the helpfulness of the computer is not significantly correlated to the number of favors performed for it, that agreeableness has a negative correlation to number of favors performed when the computer is helpful, and that reciprocal altruism is negatively correlated to the number of favors performed for a computer. A discussion of the possible limitations and implications of the research follows.
© All rights reserved Gerritsen et al. and/or Human Factors and Ergonomics Society
Eatchel, Kelly A., Kramer, Heidi and Drews, Frank (2012): The Effects of Interruption Context on Task Performance. In: Proceedings of the Human Factors and Ergonomics Society 2012 Annual Meeting 2012. pp. 2118-2122.
This study examines the effects of contextual similarity or dissimilarity of interruptions during task performance. Participants engaged in a series of working memory tasks using a computer interface. While performing these tasks they were intermittently interrupted and required to perform a different task. Each participant was interrupted with four different tasks that varied in context from identically related information given during the primary task to unrelated contextual information. Performance was assessed based on the total number of errors during each task before and after an interruption. Results revealed an increase in error rate when a participant was interrupted with a contextually dissimilar task compared to the primary task. These findings suggest that a person who experiences an interruption by a task with contextually identical information to the primary task will make fewer errors following the completion of the interruption compared to a task with contextually dissimilar information.
© All rights reserved Eatchel et al. and/or Human Factors and Ergonomics Society
Whitaker, Carson, Musters, Adrian and Drews, Frank (2011): The Effect of Incongruent Instruction/Execution Pairs on Working Memory. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 306-310.
This study tests how information is encoded into working memory when the type of instruction is incongruent with a task. To determine where information is encoded in working memory interruptions will be used to disrupt performance. A spatial LegoŽ construction task and a verbal letter arrangement task will be compared. Operation Span will be measured against performance. The conclusions drawn from this study will impact the understanding of working memory which will help in discovering effective types of instruction and in dealing with interruptions.
© All rights reserved Whitaker et al. and/or HFES
Purcell, Janine A., Williams, Linda, Scott, Jeanie, Russ, Alissa L., Drews, Frank and Speir, Ross (2011): Human Factors Engineering in the Department of Veterans Affairs: Operations and Research Initiatives Related to Healthcare Information Technology and Medical Devices. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 677-679.
The Department of Veterans Affairs (VA) health care system currently includes 152 medical centers, with at least one in each state, Puerto Rico, and the District of Columbia. VA operates more than 1,400 sites of care, including 909 ambulatory care and community-based outpatient clinics, 135 community living centers (nursing homes), 47 residential rehabilitation treatment programs, 232 Veterans Centers and 108 comprehensive home-care programs. In 2010, the system supported 75.6 million outpatient visits and 679,000 inpatient admissions.1, 2 In 1999, the VA National Center for Patient Safety (NCPS) was established to lead the VA's patient safety efforts and to develop a culture of healthcare safety throughout the Veterans Health Administration. The NCPS program promotes the use of human factors engineering methods that focus on how users interact with technology. Within the Department of Veterans Affairs various organizations have expanded the use of human factors engineering methods as a key element in addressing patient safety from a systems-based perspective. These entities include a range of groups that work in operational and research domains to identify and mitigate root causes of error with traditional medical devices and healthcare information technology to reduce the likelihood of patient harm while continuing to enhance and advance the design of healthcare tools and environments. The expertise of the panel members includes human factors and biomedical engineering, cognitive psychology, information science, healthcare information technology and informatics, and clinical knowledge of medical technology and nursing. Each panelist will briefly introduce the organization they work in, provide an overview of their human factors activities, and briefly describe example(s) of specific projects, with emphasis on the benefit or lessons learned via these activities. Attendees will learn strategies to apply human factors engineering in healthcare and deepen their understanding of human performance challenges in this domain.
© All rights reserved Purcell et al. and/or HFES
Lazzara, Elizabeth H., Weaver, Sallie J., Raij, Andrew, Metcalf, David, Drews, Frank and Dierks, Meghan (2011): Mobile Technology: The Wave of the Future to Improve Healthcare?. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 729-732.
Mobile devices (e.g., smartphones, personal digital assistants, and tablets) are evolving rapidly and growing exponentially in multiple facets around the globe. Specifically, mobile devices can be used as audio and video chat, reference guide, training tool, handoff facilitation, and decision support. Undoubtedly, there are clear advantages of leveraging this technology including automatic updates, portable and unobtrusive access to data, and time savings for documentation allowing clinicians more time for patient care. However, innovative technology brings new yet critical obstacles to overcome (e.g., usability and security). Thus, the current panel is designed to gather leading human factors and medical experts in the fields of clinical care, system design, and human-system interaction to provide their insight and perspective on the following question: What contributions can human factors science and medical experts combine to bring to bear on the development, implementation, and evaluation of mobile-based technology?
© All rights reserved Lazzara et al. and/or HFES
Gerritsen, David, Musters, Adrian and Drews, Frank (2011): A Bit of Decline: An Information Processing Approach to Complexity and Performance Loss. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 1995-1999.
Cell phone use while driving has been shown to significantly impair driving performance. A limitation of current work on driver distraction, however, is that none of the research has been able to clearly measure the cognitive demand of the conversation in which a driver engages. Precise measurement of different levels of cognitive demand will improve our understanding of its impact on driving performance. Here we describe a study that uses information theory to quantify information processing in a simple, predictable way, i.e., performance decline as a function of bits of processing. These data could eventually be turned into a regressive model which matches performance loss to specific levels of cognitive demand. The goal of this experiment was to determine the degree to which performance on a tracking task was compromised when participants engaged in varying degrees of information processing. First analyses of the results indicate a significant and predictable impact of increased information processing demand on tracking performance as demonstrated by an increase in distance to the tracking target, increased response formulation, and a decrease in answer accuracy.
© All rights reserved Gerritsen et al. and/or HFES
Nystrom, Daniel, Musters, Adrian and Drews, Frank (2010): The Effect of Interruption Similarity in Planning Tasks. In: Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010. pp. 1931-1935.
Previous research on interruptions generally investigates the effect an interruption has during the execution phase of a task. This paper investigates the effects of interruptions which are similar (a planning interruption) or dissimilar (a non-planning interruption) and are presented during the planning phase of a task. Results confirm that interruptions have similar deleterious effects during planning as they do (as in previous research) during the execution phase of a task. Furthermore, this experiment shows a greater decrease in performance when the interruption is a planning task than when it is a non-planning task. Elements of the Fuzzy Trace Theory (Brainerd&Raina, 1990) are used to explain possible reasons for the differences that we found.
© All rights reserved Nystrom et al. and/or HFES
Kramer, Heidi S., Snow, Laverne A., Drews, Frank and Samore, Matthew (2009): Structuring the Puzzle: Protocol Use in Disease Outbreak Investigations. In: Proceedings of the Human Factors and Ergonomics Society 53rd Annual Meeting 2009. pp. 754-758.
Disease outbreaks affect millions of Americans every year and have potentially large health and financial costs. State and local health departments in conjunction with the CDC have the responsibility for investigating and managing disease outbreaks. Individual states define dozens of diseases as reportable. To manage the scope and diversity of these diseases public health agencies rely on the use of protocols. Protocols can be effective tools for improving performance and reducing errors. However, there are limitations with the use of protocols in natural systems such as disease investigations. Our study included 41 semi-structured interviews with public health disease outbreak investigators. This paper discusses some of the benefits and limitations related to the use of protocols in disease outbreak investigations. We also suggest areas where Human Factors Engineering can support public health disease investigations.
© All rights reserved Kramer et al. and/or their publisher
Albert, Robert, Syroid, Noah, Zhang, Yinqi, Agutter, James, Drews, Frank, Strayer, David, Hutchinson, George and Westenskow, Dwayne R. (2003): Psychophysical Scaling of a Cardiovascular Information Display. In: Turk, Greg, Wijk, Jarke J. van and II, Robert J. Moorhead (eds.) 14th IEEE Visualization 2003 Conference VIS 2003 19-24 October, 2003, Seattle, WA, USA. pp. 35-42.
Agutter, James, Syroid, Noah, Drews, Frank, Westenskow, Dwayne R., Bermudez, Julio and Strayer, David (2001): Graphic Data Display for Cardiovascular System. In: InfoVis 2001 2001. pp. 163-.
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