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As automation becomes increasing ubiquitous, it is important to know how differences in introducing automated systems will affect human-automation interactions. There are two main ways of introducing expected reliability of an automated system to users: explicitly telling operators what to expect or giving operators experience using the system. This study systematically investigated the effect of expectation format initially and over time on: 1) perceptions of reliability and system usage, and 2) human responses to automation (e.g., compliance, reliance, and overall dependence). Initially, there was an effect of expected level for explicit statement groups, whereas there was no effect of expected level for initial exposure groups. Over time, explicit statement groups had more stable perceptions of system reliability than the initial exposure groups. In general, perceived reliability did not converge to actual system reliability (75%) by the end of the study. Additionally, perceived reliability had a weak, but positive relationship with actual system use, whereas perceptions of system use (e.g., perceived dependence) had a strong, but negative relationship with actual system use. Outside of initial effects seen with perceived reliability, there were few initial differences between expectation formats. Almost all groups tended to initially comply more than rely, with the exception of the initial exposure – lower-than group. Over time, level of expectation for initial exposure groups influenced reliance. There were no differences between expectation groups on compliance and dependence over time. In general, dependence and compliance increased or stayed the same as time using the system increased. This pattern was also seen with reliance, with the exception of the initial exposure - higher-than group decreasing reliance over time. Results from this study have implications for both theory and practice. The research findings both support and augment the existing conceptual model of automation. A better understanding of the differential effects of expectation format and introduced level of expectations can lead to introductions of automated systems that are best suited to the system’s goals, ultimately improving system performance.

Operators have a crucial role in case of an emergency in a process facility. When an abnormality occurs in the process, the operator has a limited time to take corrective actions before system safety devices shut down the operation. It is crucial that system designers and safety professionals know about this required time frame before operations are initiated. Specific research goals for this project include the following: * Estimating the standard time data for operators to take corrective actions in emergency situations. * Developing a modeling system, to allow design/process engineers to find the standard time required for the operator(s) to respond in emergency situations. Current standard time data for carrying out tasks cover normal, steady state cases. However, the time required to take action in emergency situations is different than normal cases. Because of the possibility of a process incident and danger, operators make corrective actions faster compared to normal cases. Therefore, current standard time data do not meet the requirement for emergency situations. Shorter standard time data for emergency situations needs to be estimated. Standard time data for emergency situations is estimated by using time studies. Various time study methods were introduced and discussed. MODAPTS is a predetermined time standard method and stands for Modular Arrangement of Predetermined Time Standards, and was used in this project because it is reliable, easy to use and consistent. The methodology adopted for the study required observing several emergency case videos. The operations were decomposed into basic motions (such as walking, hand movement, bend and arise, etc.) by using a video player’s frame by frame feature. The amount of time required to take these basic motions was estimated. These estimated times were then compared to calculations based on MODAPTS, which is a predetermined time standard system. By comparing MODAPTS’s standard time intervals with those estimated from emergency situations, ratios or coefficients have been estimated for the various basic motions (e.g., factors such as 0.9, 0.75, etc.). The estimated coefficients for emergency situations, which are generally around 0.65, were used in developing a modeling system. The user of this modeling system can estimate the required time to take corrective actions in emergency situations as long as he/ she knows the actions need to be taken. Consequently, the time required to take necessary actions in emergency operations will be designed and evaluated in a systematic way to reduce the potential, as well as duration, of an incident.

We describe the design background of the mathematics game Fingu for iPad aimed at 4 to 8 year old children. We first describe how Fingu theoretically can support children's development of fundamental arithmetic skills, focusing on conceptual subitizing, the embodiment of numerosity, and finger gnosis. Then we present the results of an exploratory micro-longitudinal study of the game with 11 5- and 6-year old children playing the game for several weeks and being filmed at three occasions. We discuss how their behavior with the game develops over time and can be related to the development of arithmetic skills. Finally we discuss how we will proceed testing the effectiveness of Fingu in a larger controlled study.