Objective: The purpose of this literature review is to examine the most psychometrically sound (e.g., valid and reliable) instruments measuring physical activity (PA) so that reflection of preschool children’s activity and documentation of intervention effects on preschool child PA is accurate.
Methods: Rigorous validation and calibration studies and those studies designed to test the psychometric properties of PA measurement instruments were specifically sought out to include in this review. Articles were excluded if they did not include specific information about the validity and reliability of the PA measures used with preschool children.
Discussion: Of the six articles reviewed, the systematic review used the most rigorous protocols to conduct its review, yielding the highest level of evidence appraising several validation studies. Because Pfeiffer et al. (2006) utilized the most valid and reliable criterion measure (Cosmed® portable metabolic system), the validation study this research team conducted is deemed to have identified the most valid and reliable cut points to utilize when reducing accelerometry data.
Conclusion: Current cut-points vary widely and greatly affect the reported results of a study. Therefore, it is critical that authors reference validation studies used to support the cut-points that were employed in the data-reduction phase. Currently, validation methods have been identified using high quality criterion measures in rigorous validation studies and thus it is strongly recommended that those cut points be used in data reduction processes.
The autonomous vehicle revolution started nearly a century ago with inventor Francis Houdina, who is credited with the first operational prototype of an unmanned motor vehicle. Almost 100 years later, autonomous vehicle technology is now on the brink of changing the world and will undoubtedly revolutionize the way transportation takes place. With this in mind, it is incredibly important to analyze and work through how the changes associated with the implementation of autonomous vehicles is going to affect the world legally. At the present time, there are no exceptions for the laws that are currently in place for non-autonomous vehicles, which means there is a significant amount of room for interpretation at times of autonomous vehicle error. First it is important to look at the history of automobiles and of autonomous technology. Starting with inventor Francis Houdina and automaker Mercedes Benz. Second, the ways in which autonomous technology has evolved over the last century. Companies such as Tesla and Waymo have been trailblazers of the industry. Third, looking at the way the world and different governments have or have not handled the incoming world of autonomous vehicles. Examining legislature formed by leading autonomous countries like Germany. Fourth, autonomous vehicles can now be found around the world in the hands of the public and in testing situations under manufacturer supervision. As a result of the widespread use of autonomous vehicles, there are now countless incidents of autonomous technology failure. The data and the outcomes of these accidents provide significant insight on the future legal necessities surrounding autonomous vehicles. Fifth, based on the history, technology, pre existing automobile legal framework and autonomous accidents, recommendations will be made on how to correctly govern autonomous vehicles and their owners. Autonomous vehicles will disrupt the world, but with the proper legal framework and regulations they will only continue to better the world we live in, improving efficiency, safety, and so much more.
This study includes a literature review and an empirical study. The empirical study is a usability testing survey that investigates user perceptions of Smart Home technology that make up the Internet of Things system in the Smart Home. Both closed-ended questions and open-ended questions are included in the survey for a comprehensive study. Main results showed that current smart home systems are somewhat usable. Results also showed that smart home users are satisfied with current smart home systems, believes that smart home technology adds value to their lifestyle, and will continue to use smart home technology. Main results showed that the strengths of current smart home systems design are efficiency, learnability, memorability, and enjoyability. Main results showed that there is a trend between age group and smart home user perceptions. These findings inform the design of user-centered smart home systems.