This study sought to determine if an online course designed and delivered in Second Life can meet the needs of higher education students with dyslexia. the course design incorporated strategies from Gagne’ and Briggs’ principles of instruction, Gagnon and Collay’s constructivist learning design, Powell’s key learning needs of dyslexics, and elements of universal design. Specific design elements are discussed including screen captures from the design. the study employed a mixed methods approach incorporating an online survey, recorded observation session, and two follow up interviews. the observation session and interviews were only completed by the sample population of eight participants, which included three participants with dyslexia and five participants without dyslexia. the sample population was selected using purposeful sampling techniques to ensure the widest representation of the population with a small sample. Extensive excerpts of the sample participants’ interview responses are presented and discussed, including participants’ suggestions for improving the course design. Key findings from all three data sources are discussed. Finally, implications for instructional design and special education and suggestions for further research are presented.

Massively multiplayer online environments continue to grow in popularity, with cur- rent technical designs based upon a well-proven client-server model. This approach has some inherent limitations, high costs to provision server resources for peak demands and restriction of the maximum number of concurrent participants within a virtual environ- ment. Incorporating peer-to-peer (P2P) techniques provides developers the opportunity to significantly reduce costs, while also breaking through the barrier of the number of concur- rent participants within a single virtual environment. This dissertation presents a hybrid P2P design incorporating a managed server along with a Voronoi-based P2P overlay for the development of massive virtual environments. In this design, the managed server en- sures a secure computing environment and long-term persistent storage, with the virtual environment simulation distributed among the peers, ensuring computational scalability.

The growth of the World Wide Web has prompted many businesses to develop electronic commerce (e-commerce) as a domain where consumers can conveniently purchase their products (Chittaro& Ranon, 2002). Marketing and Human - Computer Interaction (HCI) research has focused on the ways interactivity can improve purchasing experience. One particular technique is through the use of computer models of products known as visual object representations (Ozok& Komlodi, 2009). Research on visual product representations is focused on models of objects typically purchased in a store, such as clothing and electronics, which can usually be manipulated and rotated as desired (Ozok& Komlodi, 2009). There seems to be a gap in the literature regarding computer models for which consumers actually do not have an established mental models. Computerized walk-through models allow users to virtually navigate a space as well as to view a model of a living space from different orientations. An experiment was conducted on 100 participants to investigate computerized walk-through models and the role the type of model and workload plays in the amount of knowledge gained about the layout and consumer preference. Participants navigated a computerized walk-through model or a two dimensional picture set of a hotel room (low complexity) or apartment (high complexity) .Then they completed a series of surveys. Results indicate that two-dimensional models were best for learning the layout of a high complexity model and that three-dimensional models were better for learning the layout of a low complexity model. Results have implications for virtual model use in education and the military.

Conventional analysis of atmospheric data includes three-dimensional desktop-computer displays. One disadvantage is that it can reduce the ability to zoom in and see small-scale features while concurrently viewing other faraway features. This research intends to determine if using virtual environments to examine atmospheric data can improve a meteorologist's ability to analyze the given information. In addition to possibly enhancing small-scale analysis, virtual environments technology offers an array of possible improvements. Presented is the theory on developing an experiment to establish the extent to which virtual environments assist meteorologists in analysis. Following is the details of an implementation of such an experiment. Based on the quantitative results obtained, the conclusion is that immersion can significantly increase the accuracy of a meteorologist's analysis of an atmospheric data set.

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Stereographic virtual environments display data in such a way that a user perceives objects within the displayed environment to be separated in depth from the display itself. The effectiveness of stereographic virtual environments as learning tools has been evaluated relative to factors such as multidimensional cues, user interaction, and learner characteristics. This study has examined the relationship between two evaluative factors: the presence of stereographic depth cues and field dependence, a learner characteristic associated with performance on visual tasks. Adult learners were identified on a field dependence continuum based on scores on the Group Embedded Figures Test. Each student received instruction related to the heart using stereographic materials or nonstereographic materials, depending on assignment to treatment group. All participants were given two tests, identification and terminology, following this instruction. The scores on the combination of these tests, denoted as the Modified Total Criterion Test (MTCT), represented the level of visual recall relative to the instructional materials reviewed. Analyses of variance revealed an interaction effect between the level of field dependence and the presence of stereographic depth cues within a virtual environment such that field independent participants scored higher on tests of visual recall within stereographic conditions versus nonstereographic conditions and field dependent participants scored lower within stereographic conditions versus nonstereographic conditions. / Ph. D.

Museums are rich and complex learning experiences, using a variety of interactive approaches to engage their audiences. However, the largely unstructured nature of free-choice learning calls for alternative approaches that can effectively engage groups of school age students with diverse cultural backgrounds. In these informal learning spaces employing digital content, classroom-size student groups do not get adequate exposure to content and if they do, it is either through individual interactions with digital exhibits or in a passive style instruction offered by a museum docent to the whole group. This research aims to identify which elements of collocated group collaboration, virtual environments, and serious games can be leveraged for an enhanced learning experience for small and large groups of middle school students. We created a conceptual framework based on the Contextual Model of Learning in museums (John H. Falk and Dierking, 2000) and the most effective educational elements of Virtual Environments (VEs) and Serious Games, in order to increase engagement and social presence and facilitate learning. We then developed C-OLiVE (Collaborative Orchestrated Learning in Virtual Environments), an interactive virtual learning environment supporting group collaboration, which we used as a testbed to respond to our research questions. Our overall hypothesis is that synchronous, collocated, group collaboration will afford greater learning and an improved game experience compared to the conventional approaches used in these spaces so far. We ran three experiments and a case study with 790 students in private and public middle schools, summer camps, and museums both in the US and in Greece. Findings partly supported our hypothesis, mainly during our small group interaction experiments, in which simultaneous interaction of students was found to be associated with increased learning. Guidance of a passive experience was effective in facilitating the more cognitively challenged group of students in a Greek museum. Our audience interaction studies revealed increased retention of information two days after the game. Agency was found to significantly predict learning in all our studies. Engagement and social presence were mostly correlated with higher levels of involvement and agency in the game. / Ph. D.

A Distributed Virtual Environment (DVE) system provides a shared virtual environment where physically separated users can interact and collaborate over a computer network. More simultaneous DVE users could result in intolerable system performance degradation. We address the three major challenges to improve DVE scalability: effective DVE system performance measurement, understanding the controlling factors of system performance/quality and determining the consequences of DVE system changes. We propose a DVE Scalability Engineering (DSE) process that addresses these three major challenges for DVE design. DSE allow us to identify, evaluate, and leverage trade-offs among DVE resources, the DVE software, and the virtual environment. DSE has three stages. First, we show how to simulate different numbers and types of users on DVE resources. Collected user study data is used to identify representative user types. Second, we describe a modeling method to discover the major trade-offs between quality of service and DVE resource usage. The method makes use of a new instrumentation tool called ppt. ppt collects atomic blocks of developer-selected instrumentation at high rates and saves it for offline analysis. Finally, we integrate our load simulation and modeling method into a single process to explore the effects of changes in DVE resources. We use the simple Asteroids DVE as a minimal case study to describe the DSE process. The larger and commercial Torque and Quake III DVE systems provide realistic case studies and demonstrate DSE usage. The Torque case study shows the impact of many users on a DVE system. We apply the DSE process to significantly enhance the Quality of Experience given the available DVE resources. The Quake III case study shows how to identify the DVE network needs and evaluate network characteristics when using a mobile phone platform. We analyze the trade-offs between power consumption and quality of service. The case studies demonstrate the applicability of DSE for discovering and leveraging tradeoffs between Quality of Experience and DVE resource usage. Each of the three stages can be used individually to improve DVE performance. The DSE process enables fast and effective DVE performance improvement. / Ph. D.

Multiplatform virtual environment (VE) development is fast-becoming a realization for today’s developers. 3D user interfaces (3DUIs) can easily be ported to a variety of VE systems. However, few researchers have addressed the need to intelligently migrate 3DUIs across VE systems. We claim that the naïve migration of 3D interaction techniques (3DITs) to other VE systems could result in decreases in usability. We also claim that device specificity can be used to increase usability on these other VE systems. In this thesis, we have chosen three manipulation 3DITs to naively migrate across a set of four VE systems. We use an exploratory usability study to identify any usability issues stemming from our naïve migrations. After finding decreases in usability in select migrations, we redesigned two of the 3DITs for device specificity. We investigated the benefits of our redesigns with usability studies on the original, naïve, and redesigned implementations of both 3DITs. Results from our studies are mixed. In one case we demonstrate that device specificity can be used effectively to increase 3DIT migratability. As a result from our experience in this work, we have learned several lessons in device-specific design as well as 3DIT migration. / Master of Science