In this study, we attempt to test whether more mechanics cause players to become more attached to a simulated pet over time. In order to find this out, we created a pet simulator game, split it into four versions with different levels of interaction for the player, going from no interaction to three discrete interactions. We had four groups of participants play the game for five consecutive days. In concert with this, the participants answered several surveys. The first was to establish their baseline attachment to the simulated pet and was delivered at the start of the study. The second and third were delivered at the end of the study, the second survey to characterise their attachment style and the third was a repeat of the first survey, allowing us to see what, if anything, had changed in their relationship to the simulated pet. Finally, we conducted semi-structured interviews with some participants whose responses were outlier or otherwise interesting. Our findings suggested loosely that the more interactions, the more likely a player forms an attachment but also that no interactions causes attachment to degrade over time.

The United States Army continues to develop new and effective ways to use simulation for training. One example is the Non-Rated Crew Member Manned Module (NCM3), a simulator designed to train helicopter crewmembers in critical, high risk tasks such as crew coordination, flight, aerial gunnery, hoist and sling load related tasks. The goal of this study was to evaluate visual modalities' effect on performance in mixed reality aerial door gunnery. There is a strong belief in the United States Army that the greater the degree of immersion in a virtual simulation, the more effective that simulation is. However, little scientific research exists that supports this notion. In fact, the true goal of training simulation is to optimize the degree of transfer to the trainee - not to create the most immersive experience possible. As a result, the Army Program Manager frequently faces trade-off dilemmas during the simulation design phase, balancing user desires with cost and schedule constraints. One of those trade-off predicaments, and the unscientific manner in which it was resolved, served as the motivation for this research. A review of the literature was conducted in order to investigate the benefits of simulation for training. The taxonomy of reality, as well as the training efficacy of virtual and mixed reality simulation, were examined. Major concepts, applications and components of virtual and mixed reality simulation training were studied. Prior visual modality research was reviewed and discussed. Two discrete groups of subjects, expert (n = 20) and novice (n = 76), were employed in this study. Participants were randomly assigned to one of two visual modality treatments (Liquid Crystal Display (LCD) flat panel screen or Head-Mounted Display (HMD)) and executed three aerial door gunnery training scenarios in the NCM3. Independent variables were visual modality, trial, immersive tendency and simulator sickness questionnaire scores. Dependent variables included performance, presence and simulator sickness change scores. The results of the study indicate no main effect of visual modality on performance for the expert population while a main effect of visual modality on performance was discovered for the novice population. Both visual treatment groups experienced the same degree of presence and simulator sickness. No relationship between an individual's immersive tendency and their performance and level of presence was found. Results of this study's primary objective are conflicting, by expertise group, and thus both support and challenge the commonly held notion that higher immersive simulation leads to better performance.

Due to comfort, convenience, and flexibility, taxis become more and more prevalent in China, especially in large cities. According to a survey reported by Beijing Traffic Development Research Center, there were 696 million taxi person-rides in Beijing in 2011. However, many violations and road crashes that were related to taxi drivers occurred more frequently. The survey showed that there were a total of 17,242 taxi violations happened in Beijing in only one month in 2003, which accounted for 56% of all drivers' violations. Besides, taxi drivers also had a larger accident rate than other drivers, which showed that nearly 20% of taxi drivers had accidents each year. This study mainly focuses on investigating differences in driving behavior between taxi drivers and non-professional drivers. To examine the overall characteristics of taxi drivers and non-professional drivers, this study applied a hierarchical driving behavior assessment method to evaluate driving behaviors. This method is divided into three levels, including low-risk level, medium-risk level, and high-risk level. Low-risk level means the basic vehicle control. Medium-risk level refers to the vehicle dynamic decision. High-risk level represents the driver avoidance behavior when facing a potential crash. The Beijing Jiatong University (BJTU) driving simulator was applied to test different risk level scenarios which purpose is to find out the differences between taxi drivers and non-professional drivers on driving behaviors. Nearly 60 subjects, which include taxi drivers and non-professional drivers, were recruited in this experiment. Some statistical methods were applied to analyze the data and a logistic regression model was used to perform the high-risk level. The results showed that taxi drivers have more driving experience and their driving style is more conservative in the basic vehicle control level. For the car following behavior, taxi drivers have smaller following speed and larger gap compared to other drivers. For the yellow indication judgment behavior, although taxi drivers are slower than non-professional drivers when getting into the intersection, taxi drivers are more likely to run red light. For the lane changing behavior, taxi drivers' lane changing time is longer than others and lane changing average speed of taxi drivers is lower than other drivers. Another different behavior in high-risk level is that taxi drivers are more inclined to turn the steering wheel when facing a potential crash compared to non-professional drivers. However, non-professional drivers have more abrupt deceleration behaviors if they have the same situation. According to the experiment results, taxi drivers have a smaller crash rate compared to non-professional drivers. Taxi drivers spend a large amount of time on the road so that their driving experience must exceed that of non-professional drivers, which may bring them more skills. It is also speculated that because taxi drivers spend long hours on the job they probably have developed a more relaxed attitude about congestion and they are less likely to be candidates for road rage and over aggressive driving habits.

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