Aimee Roundtree, PhD, is an Assistant Professor in the English department at University of Houston-Downtown. She also is a medical writer and qualitative researcher in the Texas Medical Center. Her teaching and research interests include the rhetoric of medicine and science, new media studies, visual design, web accessibility and usability, technical and health communication, critical theory, and qualitative research methods. In addition to this poster presentation topic, she is working on several other research projects, including discourse analyses of computer simulations at the center of the Hurricane Katrina tragedy and the global warming debate, a grounded theory analysis of cancer survivorship blogs, a rhetorical analysis of hospital uses of Twitter, and a content analysis of the post-colonial implications of cyberscam emails.
Authored for DHQ; migrated from original DHQauthor format
This poster introduces some of the rhetorical and ethical dimensions that underpin the graphics and visuals designed to illustrate results from a computer simulation. Simulations have been used by meteorologists to predict and report weather behavior, by climatologists to forewarn about the inevitable damage that global warning will cause, and by government officials to foresee the potential destruction of a major hurricane. In particular, my poster examines the latter — a set of visuals from Hurricane Pam, a computer simulation and set of training exercises that predicted the devastation that Hurricane Katrina would cause one year prior to the tragedy. FEMA conducted preparation workshops for state and local officials, arming them with workbooks with projection maps, conceptual models, and other visuals meant to help ready them. This poster seeks to understand what part the visuals might have played in preparation failure.
Visuals misrepresented the simulation that predicted Hurricane Katrina
This poster introduces some of the rhetorical and ethical dimensions that underpin the graphics and visuals designed to illustrate results from a computer simulation. Simulations have been used by meteorologists to predict and report weather behavior, by climatologists to forewarn about the inevitable damage that global warning will cause, and by government officials to foresee the potential destruction of a major hurricane. In particular, my poster examines the latter — a set of visuals from Hurricane Pam, a computer simulation and set of training exercises that predicted the devastation that Hurricane Katrina would cause one year prior to the tragedy. FEMA conducted preparation workshops for state and local officials, arming them with workbooks with projection maps, conceptual models, and other visuals meant to help ready them. This poster seeks to understand what part the visuals might have played in preparation failure.
The poster raises questions pertaining to the nature and ethics of the simulated
illustration, first by engaging simulated visuals in terms of visual rhetoric, or
their capacity to persuade. Computer simulations are meant to stand-in for the real
thing. Simulated visuals represent virtual events in much the same way that
photographs represent actual events. However, since simulated visuals represent
predictions, they vary in the extent to which they capture all of the fine-grained
surface details of the source — the more accurate the simulation, the more the
simulated visual can have the realistic value of photographs (or what Benjamin calls
aura
or authenticity). Unfortunately, in the case of visuals from Hurricane
Pam, design decisions
The poster also broaches issues of visual ethics. If simulated visuals parallel photographs, then do they have capacity for photographic truth? In some cases, even when simulated visuals are not perfect replicas, they still manage to convey a virtual truth sufficient to teach and inform audiences. In the case of Hurricane Pam’s maps and illustrations, major design elements did not paint a humane, complex, or realistic enough picture to help prepare workshop attendees. The poster explores these questions and draws some basic conclusions about the verisimilitude and veracity of simulation visuals.
Download poster (PDF file)