Matching Items (55)
Description
The video game graphics pipeline has traditionally rendered the scene using a polygonal approach. Advances in modern graphics hardware now allow the rendering of parametric methods. This thesis explores various smooth surface rendering methods that can be integrated into the video game graphics engine. Moving over to parametric or smooth surfaces from the polygonal domain has its share of issues and there is an inherent need to address various rendering bottlenecks that could hamper such a move. The game engine needs to choose an appropriate method based on in-game characteristics of the objects; character and animated objects need more sophisticated methods whereas static objects could use simpler techniques. Scaling the polygon count over various hardware platforms becomes an important factor. Much control is needed over the tessellation levels, either imposed by the hardware limitations or by the application, to be able to adaptively render the mesh without significant loss in performance. This thesis explores several methods that would help game engine developers in making correct design choices by optimally balancing the trade-offs while rendering the scene using smooth surfaces. It proposes a novel technique for adaptive tessellation of triangular meshes that vastly improves speed and tessellation count. It develops an approximate method for rendering Loop subdivision surfaces on tessellation enabled hardware. A taxonomy and evaluation of the methods is provided and a unified rendering system that provides automatic level of detail by switching between the methods is proposed.
ContributorsAmresh, Ashish (Author) / Farin, Gerlad (Thesis advisor) / Razdan, Anshuman (Thesis advisor) / Wonka, Peter (Committee member) / Hansford, Dianne (Committee member) / Arizona State University (Publisher)
Created2011
Description
Night vision goggles (NVGs) are widely used by helicopter pilots for flight missions at night, but the equipment can present visually confusing images especially in urban areas. A simulation tool with realistic nighttime urban images would help pilots practice and train for flight with NVGs. However, there is a lack of tools for visualizing urban areas at night. This is mainly due to difficulties in gathering the light system data, placing the light systems at suitable locations, and rendering millions of lights with complex light intensity distributions (LID). Unlike daytime images, a city can have millions of light sources at night, including street lights, illuminated signs, and light shed from building interiors through windows. In this paper, a Procedural Lighting tool (PL), which predicts the positions and properties of street lights, is presented. The PL tool is used to accomplish three aims: (1) to generate vector data layers for geographic information systems (GIS) with statistically estimated information on lighting designs for streets, as well as the locations, orientations, and models for millions of streetlights; (2) to generate geo-referenced raster data to suitable for use as light maps that cover a large scale urban area so that the effect of millions of street light can be accurately rendered at real time, and (3) to extend existing 3D models by generating detailed light-maps that can be used as UV-mapped textures to render the model. An interactive graphical user interface (GUI) for configuring and previewing lights from a Light System Database (LDB) is also presented. The GUI includes physically accurate information about LID and also the lights' spectral power distributions (SPDs) so that a light-map can be generated for use with any sensor if the sensors luminosity function is known. Finally, for areas where more detail is required, a tool has been developed for editing and visualizing light effects over a 3D building from many light sources including area lights and windows. The above components are integrated in the PL tool to produce a night time urban view for not only a large-scale area but also a detail of a city building.
ContributorsChuang, Chia-Yuan (Author) / Femiani, John (Thesis advisor) / Razdan, Anshuman (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2011
Description
Color as a communication medium plays an important role in conveying meaning. It has been identified as a major element in marketing and advertising, and has shown to influence consumer's emotions (Labrecque & Milne, 2012). Despite the large volume of color-centered research, the literature on the subject remains largely abstract and unreliable. Academic research on the impact of color on brand personality it is still in its early stages of investigation, and therefore fragmented and inadequate. The goal of this study is to identify and visually represent patterns of association between colors and specific brand personality traits. We hypothesized that such patterns exist, although the exact associations are difficult to predict. If such patterns are found, they can assist in creating a valuable design tool with wide range of applications in product design, manufacturing, and marketing.
ContributorsToteva, Maya (Author) / Branaghan, Russell (Thesis advisor) / Gray, Rob (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2017
Self-congruity, Preference, and Pathfinder: An Examination of News Media Outlet Knowledge Structures
Description
Using a modified news media brand personality scale developed by Kim, Baek, and Martin (2010), this study measured the personalities of eight news media outlets and combined them into the same associative network with participants’ self-image via the Pathfinder tool (Schvaneveldt, Durso, & Dearholt, 1989). Using these networks, this study was able to both explore the personality associations of participants and observe if self-congruity, measured by the distance between the self-image node and a brand, is significantly related to participant preference for a brand. Self-congruity was found to be significantly related to preference. However, this relationship was mediated by participants’ fiscal and social orientation. Overall, using Pathfinder to generate associative networks and measure self-congruity could be a useful approach for understanding how people perceive and relate to different news media outlets.
ContributorsWillinger, Jacob T (Author) / Branaghan, Russel (Thesis advisor) / Craig, Scotty (Committee member) / Gray, Robert (Committee member) / Arizona State University (Publisher)
Created2018
Description
Multimedia educational technologies have increased their presence in traditional and online classrooms over the course of the previous decade. These tools hold value and can promote positive learning outcomes but are reliant on students’ degree of cognitive engagement and self-regulation. When students are not cognitively engaged or have low self-regulation capabilities, their interaction with the technology becomes less impactful because of decreased learning outcomes. Building or altering technologies to cognitively engage students is costly and timely; the present study investigates if introducing higher agency roles, to change the role of the student, increases learning outcomes. Specifically, this study investigates if higher agency roles of a designer or teacher enhances cognitive engagement and improves learning when compared to the conventional role of a learner. Improved learning outcomes were observed from the pretest to posttest for the learner, designer, and teacher role. Participants engaged with higher agency roles did not demonstrate more growth from pretest to posttest when compared to the control group, but participants in the teacher role outperformed those in the designer role. Additionally, reading ability did not impact learning gains across groups. While students who engaged with higher agency roles did not achieve greater learning outcomes than students in the control group, results indicate a learning effect across groups. Results of this study suggest that it was underpowered. Further research is needed to determine the extent of the impact that higher agency roles have on learning outcomes.
ContributorsNovak, Kyrsten (Author) / Roscoe, Rod (Thesis advisor) / Branaghan, Russell (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2018
Description
Human-robot interaction has expanded immensely within dynamic environments. The goals of human-robot interaction are to increase productivity, efficiency and safety. In order for the integration of human-robot interaction to be seamless and effective humans must be willing to trust the capabilities of assistive robots. A major priority for human-robot interaction should be to understand how human dyads have been historically effective within a joint-task setting. This will ensure that all goals can be met in human robot settings. The aim of the present study was to examine human dyads and the effects of an unexpected interruption. Humans’ interpersonal and individual levels of trust were studied in order to draw appropriate conclusions. Seventeen undergraduate and graduate level dyads were collected from Arizona State University. Participants were broken up into either a surprise condition or a baseline condition. Participants individually took two surveys in order to have an accurate understanding of levels of dispositional and individual levels of trust. The findings showed that participant levels of interpersonal trust were average. Surprisingly, participants who participated in the surprise condition afterwards, showed moderate to high levels of dyad trust. This effect showed that participants became more reliant on their partners when interrupted by a surprising event. Future studies will take this knowledge and apply it to human-robot interaction, in order to mimic the seamless team-interaction shown in historically effective dyads, specifically human team interaction.
ContributorsShaw, Alexandra Luann (Author) / Chiou, Erin (Thesis advisor) / Cooke, Nancy J. (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2019
Description
As automation becomes more prevalent in society, the frequency that systems involve interactive human-automation control increases. Previous studies have shown accountability to be a valuable way of eliciting human engagement and reducing various biases, but these studies have involved the presence of an authority figure during the research. The current research sought to explore the effect of accountability in the absence of an authority figure. To do this, 40 participants took part in this study by playing a microworld simulation. Half were told they would be interviewed after the simulation, and half were told data was not being collected. Eleven dependent variables were collected (accountability, number of resources shared, player score, agent score, combined score, and the six measures of the NASA- Task Load Index), of which statistical significance was found in number of resources shared, player score, and agent score. While not conclusive, the results suggest that accountability affects human-automation interactions even in the absence of an authority figure. It is suggested that future research seek to find a reliable way to measure accountability and examine how long accountability effects last.
ContributorsWilkins, Adam (Author) / Chiou, Erin K. (Thesis advisor) / Gray, Robert (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2019
Description
Distant is a Game Design Document describing an original game by the same name. The game was designed around the principle of core aesthetics, where the user experience is defined first and then the game is built from that experience. Distant is an action-exploration game set on a huge megastructure floating in the atmosphere of Saturn. Players take on the role of HUE, an artificial intelligence trapped in the body of a maintenance robot, as he explores this strange world and uncovers its secrets. Using acrobatic movement abilities, players will solve puzzles, evade enemies, and explore the world from top to bottom. The world, known as the Strobilus Megastructure, is conical in shape, with living quarters and environmental system in the upper sections and factories and resource mining in the lower sections. The game world is split up into 10 major areas and countless minor and connecting areas. Special movement abilities like wall running and anti-gravity allow players to progress further down in the world. These abilities also allow players to solve more complicated puzzles, and to find more difficult to reach items. The story revolves around six artificial intelligences that were created to maintain the station. Many centuries ago, these AI helped humankind maintain their day-to-day lives and helped researchers working on new scientific breakthroughs. This led to the discovery of faster-than-light travel, and humanity left the station and our solar system to explore the cosmos. HUE, the AI in charge of human relations, fell into depression and shut down. Awakening several hundred years in the future, HUE sets out to find the other AI. Along the way he helps them reconnect and discovers the history and secrets of the station. Distant is intended for players looking for three things: A fantastic world full of discovery, a rich, character driven narrative, and challenging acrobatic gameplay. Players of any age or background are recommended to give it a try, but it will require investment and a willingness to improve. Distant is intended to change players, to force them to confront difficulty and different perspectives. Most games involve upgrading a character; Distant is a game that upgrades the player.
ContributorsGarttmeier, Colin Reiser (Author) / Collins, Daniel (Thesis director) / Amresh, Ashish (Committee member) / School of Arts, Media and Engineering (Contributor) / Computing and Informatics Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of the Oculus Exercise research project we conducted was to find a way to entice individuals to attend a gym more often and for longer periods of time. We have found that many activities are being augmented by the increasingly popular virtual reality technology, and within that space "gamifying" the activity seems to attract more users. Given the idea of making activities more entertaining to users through "gamification", we decided to incorporate virtual reality, using the Oculus Rift, to immerse users within a simulated environment to potentially drive the factors previously identified in respect to gym utilization. To start, we surveyed potential users to gauge potential interest in virtual reality and its usage in physical exercise. Based on the initial responses, we saw that there was a definite interest in "gamifying" physical exercises using virtual reality, and proceeded to design a prototype using Unreal Engine 4 -- which is an engine for creating high quality video games with support for virtual reality -- to experiment how it would affect a standard workout routine. After considering several options, we decided to move forward with designing our prototype to augment a spin machine with virtual reality due to its common usage within a gym, and the consistent cardiovascular exercise it entails, as well as the safety intrinsic to it being a mostly stationary device. By analyzing the results of a survey after experimenting upon a user test group, we can begin to correlate the benefits and the drawbacks of using virtual reality in physical exercise, and the feasibility of doing so.
ContributorsCarney, Nicholas (Co-author) / West, Andrew (Co-author) / Dobkins, Jacob (Co-author) / Amresh, Ashish (Thesis director) / Gray, Robert (Committee member) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Previous research has shown that an individual's bias can have a negative impact on behavior. One proposed method of modifying such behavior is vicarious (observational) learning. In the current study, the researcher explored the possibility of using vicarious learning to create an effective training video on LGBT bias. The researcher predicted that a vicarious learning video would be more effective at reducing negative LGBT bias than an informationally-equivalent control video. Participants completed the Explicit Attitudes of Sexuality questionnaire (EASQ), were randomized into one of two groups (vicarious or control), watched the assigned training video, and then completed the EASQ again to measure any changes in LGBT bias. The results of the study indicated that the vicarious video was no more effective in reducing negative LGBT bias when compared to the control. Additionally it was found that the vicarious training video was significantly more effective in eliciting new knowledge when compared to the control. The researcher discusses these findings in relation to Social Cognitive Theory for Personal and Social Change by Enabling Media. The researcher also explains how findings of insignificance could have been caused by a selection bias, self-report bias, and/or not enough treatment dosage.
ContributorsIoia, Kody Allan (Author) / Craig, Scotty (Thesis director) / Roscoe, Rod (Committee member) / Human Systems Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05