Discrete trial instruction (DTI) and naturalistic developmental behavioral interventions (NDBIs) are often incorporated into early intensive behavioral interventions for young children with autism. Recent advances in staff training methods have demonstrated that self-instructional manuals, video models, and computer-based training are effective and efficient ways to improve staff implementation of these teaching strategies however research in this area is limited. The current evaluation assessed the effects of a computer-based training package including self-instructional manuals with embedded video models on direct-care staff’s implementation of DTI and an NDBI. All participants’ DTI teaching fidelity increased during role-plays with an adult and with a child with autism and all participants increased teaching fidelity across untrained instructional programs. In addition, moderate improvement was demonstrated following NDBI training on the use of correct prompts, environmental arrangements, and response interaction. Together, these results indicate that therapists are able to acquire a large number of skills using two teaching techniques, DTI and NDBI, following brief computer-based training.

Abgelenktes Fahren gehört zu den Hauptursachen von Verkehrsunfällen und kann auf visuelle, manuelle oder kognitive Ablenkungsquellen zurückgeführt werden. Jede dieser Ablenkungsquellen wurde bereits mit negativen Effekten auf die Fahrerleistung in Zusammenhang gebracht. Obschon ein weitgehender Konsens über negative Auswirkungen von visueller/visuell-manueller Ablenkung besteht, sind die Wirkungen kognitiver Ablenkung auf Fahrfehler und Unfälle noch immer umstritten. Viele experimentelle Studien haben negative Auswirkungen kognitiver Ablenkung auf die Fahrerleistung berichtet. Demgegenüber stehen jedoch die Ergebnisse der Mehrzahl vorliegender „naturalistic driving studies“, die kein erhöhtes Unfallrisiko oder sogar protektive Effekte in diesem Zusammenhang fanden. Die aktuelle Entwicklung hin zu Mensch-Fahrzeug-Schnittstellen, die die Bedienung diverser Anwendungen mittels Sprachsteuerung ermöglichen, führt zu einem Anstieg von kognitiver Beanspruchung beim Fahren. Es ist daher von entscheidender Bedeutung, die Auswirkungen kognitiver Ablenkung auf die Fahrerleistung zu erfassen, um den Verantwortungsträgern in der Gesellschaft, den Regierungen und der Industrie eine Risikoabschätzung dieser Funktionen zu ermöglichen und die Sicherheit von Mensch-Fahrzeug-Schnittstellen zu erhöhen. Das Hauptziel dieser Dissertation bestand darin, die Effekte von kognitiver Ablenkung auf die Fahrerleistung zu untersuchen. Verschiedene Arten kognitiver Ablenkung, die sich beim Fahren unter realen Bedingungen häufig auf die Fahrer auswirken, wurden in dieser Arbeit kodiert und analysiert: kognitiv ablenkende Nebenaufgaben (z.B. telefonieren, singen), Fahreremotionen (z.B. Freude, Wut/Frustration, Traurigkeit) und Kombinationen von Fahreremotionen und Nebenaufgaben (z.B. Streit mit dem Beifahrer oder am Telefon). Bei der Untersuchung von Effekten kognitiver Ablenkung auf das Fahren sind Umwelt-, Situations- und Personenfaktoren zu berücksichtigen, da sie Mediator- und Moderatorvariablen bei der Erfassung des relativen Risikos von Ablenkung beim Fahren im Straßenverkehr darstellen. Daher folgte diese Dissertation dem ganzheitlichen Ansatz, so viele relevante Variablen wie möglich zu betrachten, die mit der Ausführung kognitiv ablenkender Tätigkeiten interagieren. Zu diesem Zweck wurden Daten der derzeit umfangreichsten „naturalistic driving study“ (the second Strategic Highway Research Program, SHRP 2) kodiert und analysiert, um möglichst viele Situationen, in denen eine kognitive Beanspruchung die Fahrerleistung potenziell beeinflusste, umfassend zu bewerten. Gleichzeitig wurde eine große Zahl von Mediator- und Moderatorvariablen betrachtet, die beim Fahren im realen Straßenverkehr auftreten (z.B. Einfluss von Kreuzungen, Wetter, etc.). Dieser Ansatz sollte das Verständnis und die externe Validität der Ergebnisse erhöhen und stellt einen wichtigen Schritt hin zu einem vollständigen Modell jener Variablen dar, die entweder zu unangemessen Verhaltensweisen und Unfällen beitragen oder sie reduzieren. Im Rahmen der Dissertation wurden vier Studien durchgeführt, die auf der Grundlage von zwei SHRP 2 Datensätzen die Zusammenhänge zwischen kognitiven und anderen Ablenkungsquellen, Umwelt-, Situations- und Personenfaktoren und Fahrerleistung untersuchten. Weiterhin wurden Kausalfaktoren in 315 vom Fahrer verursachten Unfällen und Beinaheunfällen, die mit Fahrerablenkung, Fahrerbeeinträchtigung oder keinem dieser Faktoren assoziiert waren, analysiert. Die erste Studie untersuchte die Auswirkungen von Wut beim Fahren und Streit mit dem Beifahrer oder jemandem am Telefon auf die Fahrerleistung. Wut beim Fahren ging mit einer Häufung aggressiver Verhaltensweisen einher, jedoch nicht mit einer Erhöhung von Fahrfehlern. Streitgespräche mit dem Beifahrer oder einer Person am Telefon (das heißt, wenn mutmaßlich das höchste Maß an kognitiver Ablenkung vorlag), schienen darüber hinaus mit keiner Form von unangemessenen Verhaltensweisen im Zusammenhang zu stehen. Die zweite Studie untersuchte, wie sich kognitive, visuelle und manuelle Fahrerablenkung, emotionale Beeinträchtigung sowie Umwelt-, Situations- und Persönlichkeitsfaktoren auf die Fahrerleistung auswirken. Ein Zusammenhang zwischen kognitiver Ablenkung und einer Verschlechterung der Fahrerleistung konnte nicht festgestellt werden. Die dritte Studie replizierte und erweiterte Ergebnisse der zweiten Untersuchung auf der Grundlage eines größeren Datensatzes, bestehend aus Fahrsegmenten, die Unfällen, Beinaheunfällen und Baselines vorausgingen und weder emotionale noch andere Fahrerbeeinträchtigungen enthielten. In Übereinstimmung mit den Ergebnissen der ersten und zweiten Studie, wurde keine Assoziation zwischen kognitiver Ablenkung und einer verschlechterten Fahrerleistung festgestellt. Bei der vierten Studie handelte es sich um eine vergleichende Analyse von Risikofaktoren für Unfälle/ Beinaheunfälle, die mit verschiedenen Arten von Ablenkung, Beeinträchtigung oder keinem von beiden, assoziiert waren. Unfälle, denen eine kognitive Ablenkung vorausgegangen war, waren vor allem mit von Ablenkung unabhängigen Fahrfehlern verbunden - genau wie die Unfälle, denen keine beobachtbare Nebentätigkeit vorausgegangen war. Dieses Ergebnis lässt vermuten, dass in früheren „naturalistic driving studies“, das Unfallrisiko von kognitiv ablenkenden Nebentätigkeiten eventuell sogar überschätzt wurde. Zusammenfassend legen die Ergebnisse die Schlussfolgerung nahe, dass kognitive Ablenkung durch beobachtbare emotionale Beeinträchtigung, (überwiegend) kognitiv ablenkende Nebenaufgaben oder die Kombination dieser beiden Faktoren, nicht mit sichtbaren negativen Auswirkungen auf die Fahrerleistung im tatsächlichen Straßenverkehr assoziiert werden kann. Im Gegensatz dazu hatten ablenkende Tätigkeiten, die zu Blickabwendungen von der Straße führen, und solche, die mit einem besonders hohen Unfallrisiko assoziiert werden, die größte Wahrscheinlichkeit Fahrfehler und Unfälle zu verursachen. / Driver distractions are among the leading causes of motor vehicle accidents. Such distractions can stem from competing visual, manual, or cognitive resources, all of which have been associated with detrimental effects on driving performance. Although the negative impacts of visual/visual-manual distraction are widely agreed upon, the effects of cognitive load on driving errors and crash risk are still debated. On the one hand, numerous experimental studies have shown adverse effects of cognitive distraction on driving performance. In contrast, most existing naturalistic driving studies have either not revealed increased crash/near-crash risk due to cognitive distraction, or have even reported a safety benefit. The number of in-vehicle tasks placing cognitive load on the driver is increasing in recent years due to the development of auditory human–machine interfaces such as voice control for several functions. This has enhanced the need to assess how cognitive distraction affects driving performance. These results are necessary to provide society, government, and industry with valid risk estimates, which will affect decision making regarding how to enhance the safety of using in-vehicle human-machine interfaces while driving. Therefore, the main objective of this thesis was to investigate how cognitive distraction affects driving performance. Different types of cognitive distraction that commonly affect most drivers in naturalistic conditions were coded and analyzed in the present thesis, including: cognitively distracting secondary tasks (e.g., talking on the phone, singing), driver emotion (e.g., happiness, anger/frustration, sadness), and combinations of driver emotion and secondary task demand (e.g., arguing with a passenger or with someone on the phone). Environmental, situational, and individual factors cannot be ignored when investigating the effects of cognitive distraction on driving performance, as they are mediating and moderating variables for estimating distraction relative risk in naturalistic driving. Therefore, a holistic approach guided this thesis towards incorporating as many important variables as possible that interact with the engagement in cognitively distracting activities. Data from the largest naturalistic driving study ever conducted (the second Strategic Highway Research Program, SHRP 2) were coded and analyzed to comprehensively assess many situations in which cognitive load potentially affected driving performance. Further, the goal was to simultaneously consider many possible mediating and moderating variables existent in real-world traffic (such as intersection influences, weather, etc.). This approach should increase understanding and external validity of the results, as well as represent an important step towards building a complete model depicting variables that contribute to or mitigate aberrant driving behaviors and crash risk. Four different analyses focused on two SHRP 2 data subsets to assess the relationship between cognitive and other distraction sources, environmental, situational, and individual factors, as well as driving performance. In addition, contributing factors in 315 at-fault crash and near-crash events associated with driver distraction, driver impairment, or neither of the two were analyzed. The first study examined driving performance in relation to driving anger as well as arguing with a passenger or with someone on the phone. Results showed that driving anger was associated with more frequent aggressive driving behaviors without increasing driving error frequency. Furthermore, when a conflict arose with a passenger or with someone on the phone (i.e., when the level of cognitive distraction was expected to be highest), there did not appear to be a link to any type of aberrant driving behavior. The second study analyzed driving performance based on cognitive, visual, and manual driver distraction, emotional impairment, as well as environmental, situational, and individual factors. Cognitive distraction was not associated with any decline in driving performance. The purpose of the third analysis was to replicate and extend the second study’s effects based on a larger data sample of driving segments preceding crashes, near-crashes, and matched baselines, of drivers not exhibiting emotional or other impairment types. Corroborating the first and second study’s results, there was no association between cognitive distractions and impaired driving performance. Finally, the fourth study compared the risk factors of crashes/near-crashes associated with either different driver distraction types, impairment, or neither. Crashes preceded by cognitive distraction were mainly associated with driving errors unrelated to the secondary task demands, as were the crashes preceded by no observable secondary task. This finding suggests that previous studies analyzing naturalistic driving data may have even overestimated the crash risk of cognitively distracting secondary task engagement. In summary, this thesis provides compelling evidence that cognitive distraction, either through observable emotional impairment, (mainly) cognitively distracting secondary tasks, or the combination of both, has no apparent relation with poorer driving performance observable in real-world traffic. On the contrary, distracting activities requiring the driver’s gaze to move away from the forward roadway and those associated with a particularly high crash risk had the highest chances of causing driving errors and crashes.

No description available.

Människor fattar inte alltid optimala och rationella beslut, och det finns olika teorier som förklarar dessa mer irrationella beslutsprocesser. Naturalistiskt beslutsfattande handlar om att undersöka hur människor faktiskt fattar beslut i verkliga situationer. Studien ämnade att kvalitativt undersöka hur beslutsprocessen vid näthandel av kläder och skor kan se ut. I studien ingick fyra personer i åldrarna 19 till 36 år. Studien bestod av två delar; en observationsdel där deltagaren skulle leta upp ett plagg hen skulle vilja köpa, samtidigt som hen tänkte högt med think aloud-metoden, samt en avslutande intervjudel med öppna intervjufrågor. Tran- skriberingarna analyserades med en narrativ analys. Studien resulterade i fyra olika berättelser och beslutsprocesser; en om att shoppa utifrån behov och intresse, en om att söka information, en om att shoppa under kort tid och impulsivt och en om att shoppa under kort tid och vara obeslutsam länge. Det visade att beslutsprocessen vid näthandel inte var enbart rationell och bland annat påverkades av hur deltagarna hanterade den stora mängden information de fick på nätet, vilken motivation de hade till shoppingen samt vilket mål de hade med den. Näthandel verkade dessutom innefatta mer än att bara göra ett köp. Att undersöka en så komplex process genom naturalistiskt beslutsfattande kan alltså ge unika insikter. / People do not always make optimal and rational choices, and there are different theories that explain more irrational decision-making processes. Naturalistic decision-making concerns how people make decisions in real life situations. This qualitative study aims to explore what the decision-making process may look like in online shopping of clothes and shoes. The study consisted of four people aged 19 to 36 years old. The procedure contained two parts; one observational study, where the participant was instructed to search for and find an item of clothing online that they would like to buy, while thinking aloud with the think-aloud method, and a final interview part with open-ended questions. The transcriptions were then analysed with a narrative analysis. This resulted in four different stories and decision-making processes; one about shopping out of needs as well as spontaneous interests, one about searching for information, one about shopping impulsively and intensely and one about shopping for a short amount of time but being indecisive for a long time. The decision-making process in online shopping was found to not be solely rational and was, among other things, influenced by how the participants handled the large amount of information they received online as well as their motivation for and goals with the shopping. Furthermore, the objective with the participants’ shopping was found to be more than to just make a purchase. This indicates that examining such a complex process through naturalistic decision making can give unique insights.

No description available.

No description available.

Indiana University-Purdue University Indianapolis (IUPUI) / Birth mothers of open adoption are not well studied. This inquiry explored birth mothers’ experiences surrounding unintended pregnancy and infant open adoption placement. The focused objective was to describe adolescent birth mothers’ lives following pregnancy and adoption placement. This qualitative study used naturalistic inquiry, with participants giving 1 to 2 hour tape recorded telephone interviews. Verbatim transcripts were de-identified and systematically analyzed. Birth mother samples were at either 1 to 5 years or 5 to 15 years after infant open adoption placement. Overall both samples chronicled stories from preconception through current life. Birth mothers of both samples were unanimous in their support of open adoption. The sample of 10 birth mothers who were interviewed 1 to 5 years postplacement shared life descriptions from prepregnancy; pregnancy with the decision for open adoption placement and choice of adoptive family; birth in context with the adoptive parents and birth child; postpartum and discharge. Postplacing birth mother findings were presented using the acronym AFRESH: A–adoption accomplishments; F–fresh start; R–relationships; E–emotions; S–support; H–healing. Personal, social, and relational benefits of open adoption far outweighed pregnancy, birth, and emotional challenges. Even though the process and outcome were “hard,” and included personal obstacles, the open adoption placement was “best.” Birth children were viewed as thriving, blossoming, and having a wonderful life. Adoptive families were cherished like those of extended family. Birth mothers thought health care providers should share the option, and then provide adoption friendly care. They also would advise pregnant teens to choose open adoption. Results from the 5 to 15 years postplacement sample of 5 birth mothers yielded themes of (1) satisfaction about decision for open adoption, choice of adoptive couple, and seeing a thriving birth child; (2) personal milestone accomplishments in education, finances, work, life, and relationships; (3) a sustaining sense of being a better person with an improved life; and (4) the essential need for support during and after the process.

Many researchers feel that teacher preparation programs are not doing enough to prepare teachers to effectively use technology. The result is a plethora of teachers who may know the basic functions of different programs, but who are unprepared to integrate these skills into their teaching. One method used by a few preservice programs, including BYU's, is the use of modeling sessions, otherwise referred to as live modeling. In these modeling sessions, the instructor models for the preservice teachers how a K-12 teacher could teach with technology, while the preservice teachers participate as if they were K-12 students. This thesis is a qualitative investigation of how this method of live modeling has impacted students, according to the perceptions of a sample of former students of the course. This project also has a practical focus of identifying strategies for improving modeling, and pitfalls that may indicate when modeling is not as effective. Overall, this study found that modeling was perceived by most students to be effective at teaching technology skills and ideas for integrating technology as teachers. However, there were some students who struggled to abstract principles from the modeling that could help them as teachers. In other words, they struggled to cognitively transfer the learning from the context of the modeling session to their own teaching contexts. In this research I identify five main contextual breakdowns that often occurred among students in the course. These were breakdowns, or differences, between the modeled context and the students' actual contexts that were sufficiently large enough to disrupt the students' abilities to cognitively transfer the learning. By adapting the live modeling method to more specifically address unique students' needs and contexts, then the cognitive transfer of learning should be easier and the method could be a strong tool for training preservice teachers to use technology in their own teaching.

No description available.

No description available.