Practical Ethics for the Expert Witness in Ergonomics and Human Factors Forensic Cases
This chapter describes how many texts concerning the intersection of law and applied disciplines address ethical concerns in passing or do not address them at all. Ethical concerns are like skin, skin is our larges organ and the one that interacts with the world around us. However, it is simply overlooked until something goes wrong – and so it with ethics. If ethical concerns are unaddressed, they will surely emerge during forensic consultation and often with potentially disastrous results. The objective of this chapter is to alert the reader to some concerns which, if addressed appropriately, lead to the immense satisfaction of doing a job professionally and also serving society. The chapter will address the ethical questions that face the expert at the beginning of a case, followed by some questions that might arise during the data gathering and consultation state, and the chapter concludes with questions that arise during the concluding stage.
Avoiding Misrepresentation in Forensic Human Factors
Every aspect of human factors consulting in litigation presents opportunities and challenges for acting in an ethical manner. This article discusses three types of misrepresentation that pose ethical problems: (1) disregarding information, (2) misrepresenting existing research, and (3) misrepresenting facts in a case. These examples are demonstrated in the context of three different lawsuits involving forensic human factors experts. The article concludes with a discussion of the role of the forensic expert to help reveal the truth, and a suggestion to revise the Human Factors and Ergonomics Society Code of Ethics.
FlowBrush: optical flow art
The depiction of motion in static representations has a long tradition in art and science alike. Often, motion is depicted by spatio-temporal summarizations that try to preserve as much information of the original dynamic content as possible. In our approach to depicting motion, we remove the spatial constraints and generate new content steered by the temporal changes in motion. Applying particle steering in combination with the dynamic color palette of the video content, we can create a wide range of different image styles. With recorded videos, or by live interaction with a webcam, one can influence the resulting image. We provide a set of intuitive parameters to affect the style of the result, the final image content depends on the video input. Based on a collection of results gathered from test users, we discuss example styles that can be achieved with FlowBrush. In general, our approach provides an open sandbox for creative people to generate aesthetic images from any video content they apply.