Using corrective and deceptive advertisements taken from the FTC's “Listerine Case,” the authors examine whether exposure to a single corrective advertisement can reduce residual effects emanating from exposure to deceptive advertising in a longitudinal context. Results show that limited exposure to corrective advertisements was ineffective in bringing brand beliefs into equilibrium with “normative” levels. Findings also indicate that corrective ads affect other attributes of the product category even though they are not addressed in a remedial message.
Little is understood about the sleep quality of children with autism and other developmental disabilities. Conventional sensors and instrumentation for objective sleep quality assessment, such as those used in polysomnography, are highly obtrusive and not well-suited to this patient population. This paper presents a set of sensors and instrumentation for unobtrusive measurement of physiological and behavioral parameters indicative of sleep quality. Specifically, load cells, an electromechanical film, and thermocouples are used to measure respiratory rate, pulse rate, and physical activity of a subject lying on a bed. The sensor suite is being developed to monitor sleep quality of children at Heartspring, a residential and educational facility in Wichita, KS that serves children with severe developmental disabilities. These technologies have the potential to provide objective sleep quality assessment for children in their home environment.
The results of the present investigation highlight the potential utility of V̇O2max, particularly as it relates to the metabolic demands of a surface ambulation, in defining successful completion of planetary-based exploration field tests.
An automated hand-forearm ergometer with realtime data analysis would be a helpful tool to evaluate muscle fatigue mid-experiment, offering insights into changes in electromyogram parameters that can be used to track fatigue in the hand and forearm musculature. This work presents real-time additions to a custom, automated hand-forearm ergometer that will perform mid-experiment signal processing and help to identify fatigue onset and predict task failure.
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