This thesis presents a study to develop and explore the use of a computerized system that provided automated prompts to children with ASD during the completion of a self-care activity (handwashing). A Wizard-of-Oz experiment was implemented using an A-B experimental design. During the baseline phase (A) the child’s caregiver was asked to guide the child through handwashing, in the intervention phase (B) the system guided the child. The results showed that the system was not very successful to guide the child. He tended to get distracted very easily presenting off-task behaviour, which resulted in needing assistance from the caregiver. The data obtained showed that during the intervention phase the assistance from the caregiver consisted mostly of verbal instructions versus the hand over hand guidance observed during B phase. From the data analyses and reviewed literature some improvements and redesigns were suggested which could help develop a more automatic prompting system.

Although robotics is well established as a research field, there has been relatively little work on human-robot collaboration. This type of collaboration is going to become an increasingly important issue as robots work ever more closely with humans. Clearly, there is a growing need for research on human-robot collaboration and communication between humans and robotic systems. Research into human-human communication can be used as a starting point in developing a robust human-robot collaboration system. Previous research into collaborative efforts with humans has shown that grounding, situational awareness, a common frame of reference and spatial referencing are vital in effective communication. Therefore, these items comprise a list of required attributes of an effective human-robot collaborative system. Augmented Reality (AR) is a technology for overlaying three-dimensional virtual graphics onto the user's view of the real world. It also allows for real time interaction with these virtual graphics, enabling a user to reach into the augmented world and manipulate it directly. The internal state of a robot and its intended actions can be displayed through the virtual imagery in the AR environment. Therefore, AR can bridge the divide between human and robotic systems and enable effective human-robot collaboration. This thesis describes the work involved in developing the Augmented Reality Human-Robot Collaboration (AR-HRC) System. It first garners design criteria for the system from a review of communication and collaboration in human-human interaction, the current state of Human-Robot Interaction (HRI) and related work in AR. A review of research in multimodal interfaces is then provided highlighting the benefits of using such an interface design. Therefore, an AR multimodal interface was developed to determine if this type of design improved performance over a single modality design. Indeed, the multimodal interface was found to improve performance, thereby providing the impetus to use a multimodal design approach for the AR-HRC system. The architectural design of the system is then presented. A user study conducted to determine what kind of interaction people would use when collaborating with a mobile robot is discussed and then the integration of a mobile robot is described. Finally, an evaluation of the AR-HRC system is presented.

Thesis (M.A.)--Miami University, Dept. of History, 2005. / Title from first page of PDF document. Document formatted into pages; contains [7], 53 p. : ill. Includes bibliographical references (p. 49-53).

Det webbaserade Wizard of Oz-verktyget Ozlab är ett system som möjliggör skapande ochutförande av tester med interaktiva prototyper. Syftet med denna uppsats är att undersöka ochutvärdera verktyget för att hitta brister och förändringsförslag. Denna uppsats utgör en kvalitativ studie och datainsamling har skett genom observation och intervju med Ozlab-användare. Utifrån analys av data som samlades in under observation och intervju togs flertalet förändringsförslag fram. För att kontrollera att förändringsförslagen som togs fram accepterades av andra Ozlab-användare skapades en enkät som några få utvalda användare med kunskap om Ozlab-metodiken fick svara på.  Resultatet från studien visar att Ozlab är ett webbverktyg som är accepterat av användarna men det behöver förbättras på några punkter. De punkter som är tydligast är att Ozlab behöver bättre stöd för mobila enheter, kortare svarstider vid test, dokumentation och hjälpavsnitt men även avhjälpa mindre funktionsmässiga problem.

Human behavior varies widely as does the design of spoken dialog systems (SDS). The search for predictors to match a user’s preference and efficiency for a specific dialog interface type in an SDS was the focus of this research. By using personality as described by the Five-Factor Method (FFM) and the Wizard of Oz technique for delivering three system initiatives of the SDS, participants interacted with each of the SDS initiatives in scheduling an airline flight. The three system initiatives were constructed as strict system, which did not allow the user control of the interaction; mixed system, which allowed the user some control of the interaction but with a system override; and user system, which allowed the user control of the interaction. In order to eliminate gender bias in using the FFM as the instrument, participants were matched in gender and age. Participants were 18 years old to 70 years old, passed a hearing test, had no disability that prohibited the use of the SDS, and were native English speakers. Participants completed an adult consent form, a 50-question personality assessment as described by the FFM, and the interaction with the SDS. Participants also completed a system preference indication form at the end of the interaction. Observations for efficiency were recorded on paper by the researcher. Although the findings did not show a definitive predictor for a SDS due to the small population sample, by using a multinomial regression approach to the statistical analysis, odds ratios of the data helped draw conclusions that support certain personality factors as important roles in a user’s preference and efficiency in choosing and using a SDS. This gives an area for future research. Also, the presumption that preference and efficiency always match was not supported by the results from two of the three systems. An additional area for future research was discovered in the gender data. Although not an initial part of the research, the data shows promise in predicting preference and efficiency for certain SDS. Future research is indicated.

In the last decades the average life expectancy of humans has increased significantly. There are more old people than ever before. At the same time there is a big staff shortage at nursing homes. A future study will examine the effect of introducing a socially intelligent robot called Furhat in such a home. In this work a so-called Wizard-of-Oz control system is developed which enables remote control of the normally autonomous Furhat. This control system will later be used in the future study. The Wizard-of-Oz control system is developed with the intention of reaching the lowest possible response time between the control system and Furhat to minimize the risk of unnatural conversation due to long wait times between actions. It is found that a response time at or above 500ms can have a clearly degrading effect on a conversation. By following code-standards with a focus on developing fast code an average response time in the range of 35-245ms depending on the action taken is reached.

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Observed influences of system response delay in spoken human-machine dialogues are rather ambiguous and mainly focus on perceived system quality. Studies that systematically inspect effects on cognitive performance are still lacking, and effects of individual characteristics are also often neglected. Building on benefits of cognitive training for decelerating cognitive decline, this Wizard-of-Oz study addresses both issues by testing 62 elderly participants in a dialogue-based memory training with a virtual agent. Participants acquired the method of loci with fading instructional guidance and applied it afterward to memorizing and recalling lists of German nouns. System response delays were randomly assigned, and training performance was included as potential mediator. Participants’ age, gender, and subscales of affinity for technology (enthusiasm, competence, positive and negative perception of technology) were inspected as potential moderators. The results indicated positive effects on recall performance with higher training performance, female gender, and less negative perception of technology. Additionally, memory retention and facets of affinity for technology moderated increasing system response delays. Participants also provided higher ratings in perceived system quality with higher enthusiasm for technology but reported increasing frustration with a more positive perception of technology. Potential explanations and implications for the design of spoken dialogue systems are discussed.

The purpose of the study is to explore the possibility to use the experimental prototyping technique called Wizard of Oz as a requirements engineering technique in multimedia development with a focus on how to capture (and test) requirements for system responses in on-going GUI dialogues between user and system. The Wizard-of-Oz technique makes it possible to try interactive prototypes with users or in the development team without needing any programming to be conducted first. In a tourism context interactive prototypes made in the Wizard-of-Oz system called Ozlab were used to produce live answers to tourists. The prototyped information kiosk was offered as a complement to the already running tourist information website. The available surveys and web statistics regarding tourist information system could not provide non-functional requirements. Instead, three interviews and one observation were conducted, leading up to the four experiments where the WOz technique was tried as a requirements engineering technique in addition to the traditional data collection methods. The results of this study show how a graphical Wizard-of-Oz tool can be used as a complement to traditional requirements elicitation methods. The study also shows limitations to WOz based requirements engineering work; subject experts are needed in the wizard team, for example. The study also resulted in several developments of the experimental tool itself; the web feature was exploited much further than originally conceived by the Ozlab developers.