Comfort is a sensation and state of being that many people seek when they are working in the office, driving in a car, flying on an airplane, or laying in a hospital bed. The literature identifies many definitions and interpretations for comfort and discomfort, and many different ways that researchers have tried to measure comfort and discomfort. de Looze proposed a model to explain the relationship between comfort and discomfort using three key components: (a) the human, (b) the product, and (c) the environment. This dissertation added a measurement component to the model. In a repeated measures design, subjects (n=35) sat in three different office chairs for 60 minutes each on two different dates. Researchers collected subjective survey data and objective electronic data related to perceived sitting comfort and discomfort while participants completed office computer tasks. Data were analyzed to predict and quantify office worker seated comfort and discomfort using linear modeling and neural network modeling. Correlation values from the linear regression model developed in this experiment were R 2 < 0.70, while the single hidden-layer neural network model predicted the comfort/discomfort responses with a higher correlation (R 2 =0.997). The 35 subjects in the study perceived measurable comfort differences between the three chairs tested. Subjective questions that treated comfort and discomfort in a non-linear relationship discriminated chair differences better than questions using a linear relationship. There was no significant difference between male and female comfort/discomfort responses. Comfort ratings decreased over time, while discomfort increased over time; at least 45minute comfort testing is needed to understand subjects' comfort/discomfort in a particular office chair.

Current workstation setup and design guidelines are based on anthropometric databases from military subjects who were measured over 25 years ago. This panel discussion will explore the methodology used to implement a civilian anthropometric database (CAESAR—;Civilian American and European Surface Anthropometry Resource) in creating specifications for workstation guidelines and design. Discussion will include general methodology used, data variables that were chosen, statistical methods, data weighting methodology and cleaning of the dataset by eliminating certain outliers. Panelists will present their approach to the problem and seek discussion from the audience to understand the pros and cons of their methodology in formulating the foundation for an anthropometric guideline based on a civilian population rather than a military dataset.

There are many challenges that researchers face when adapting from academic backgrounds to industry. How do we train newcomers to this field to focus on goals in context of their business’s needs? How do we ensure impact early in their career? How do we learn to look beyond the process, methods, mindset, and story-telling, to delivering on corporations’ anticipated needs? What are the challenges when mandating practitioners’ research to translate to actionable items? How do practitioners drive impact that brings the desired value to their corporations? How does one encourage user experience (UX) as an integral process within corporations’ development plans? This panel of practitioners will share the trials and tribulations they have encountered while successfully navigating their respective Human Factors and Ergonomics (HFE) careers. This panel represents peers with diverse experiences from careers in technology, product design, human-computer interfaces (HCI), medical devices, usability testing, and human factors research.

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