Matching Items (10)
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ABSTRACT

Although the US government has been using remotely piloted aircraft (RPA), more commonly referred to as drones, to conduct military strikes against terrorists and insurgents since at least 2001, only around 2011 did media outlets and polling organizations began assessing the attitudes of Americans towards

ABSTRACT

Although the US government has been using remotely piloted aircraft (RPA), more commonly referred to as drones, to conduct military strikes against terrorists and insurgents since at least 2001, only around 2011 did media outlets and polling organizations began assessing the attitudes of Americans towards the use of drones as a weapon of war. Initially, public support for drone strikes was robust with nearly 70 percent of Americans expressing approval. As the discussion of drone strikes intensified however, public support declined over 10 percentage points.

Only a handful of studies have examined public opinion and drone strikes, and all have focused exclusively on explaining support. This study seeks to fill this gap in the literature and explain opposition to drone strikes. The primary argument put forth in this dissertation is that people’s beliefs determine their opinions, and their morality determines their beliefs. Although independent opinion formation is often considered a cognitive process, I argue that, at least in the case of drone strikes, the opinion formation process is largely an affective one.

By examining media coverage and elite discourse surrounding drone strikes, I isolate three narratives which I believe communicate certain messages to the public regarding drone strikes. I argue that the messages produced by elite discourse and disseminated by the media to the public are only influential on opinion formation once they have been converted to beliefs. I further argue that conversion of message to belief is largely dependent on individual moral attitudes.

To test my arguments, I conduct a survey-experiment using subjects recruited from Arizona State University’s School of Politics and Global Studies student subject pool. My research findings lead to two key conclusions. First, opposition to drone strikes is largely the product of the belief(s) that drone strikes are not necessary for protecting the United States from terrorist attack, and that drone strikes kill more civilians than do strikes from conventional aircraft. Second, whether an individual expresses support or opposition to drone strikes, moral attitudes are a relatively good predictor of both beliefs and disposition.
ContributorsDavis, Christopher Todd (Author) / Wood, Reed (Thesis advisor) / Fridkin, Kim (Committee member) / Kubiak, Jeffrey (Committee member) / Wright, Thorin (Committee member) / Arizona State University (Publisher)
Created2019
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The foundations of legacy media, especially the news media, are not as strong as they once were. A digital revolution has changed the operation models for and journalistic organizations are trying to find their place in the new market. This project is intended to analyze the effects of new/emerging technologies

The foundations of legacy media, especially the news media, are not as strong as they once were. A digital revolution has changed the operation models for and journalistic organizations are trying to find their place in the new market. This project is intended to analyze the effects of new/emerging technologies on the journalism industry. Five different categories of technology will be explored. They are as follows: the semantic web, automation software, data analysis and aggregators, virtual reality and drone journalism. The potential of these technologies will be broken up according to four guidelines, ethical implications, effects on the reportorial process, business impacts and changes to the consumer experience. Upon my examination, it is apparent that no single technology will offer the journalism industry the remedy it has been searching for. Some combination of emerging technologies however, may form the basis for the next generation of news. Findings are presented on a website that features video, visuals, linked content, and original graphics. Website found at http://www.explorenewstech.com/
Created2016-05
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The goal of this project is to use an open-source solution to implement a drone Cyber-Physical System that can fly autonomously and accurately. The proof-of-concept to analyze the drone's flight capabilities is to fly in a pattern corresponding to the outline of an image, a process that requires both stability

The goal of this project is to use an open-source solution to implement a drone Cyber-Physical System that can fly autonomously and accurately. The proof-of-concept to analyze the drone's flight capabilities is to fly in a pattern corresponding to the outline of an image, a process that requires both stability and precision to accurately depict the image. In this project, we found that building a Cyber-Physical System is difficult because of the tedious and complex nature of designing and testing the hardware and software solutions of this system. Furthermore, we reflect on the difficulties that arose from using open-source hardware and software.
ContributorsDedinsky, Rachel (Co-author) / Lubbers, Harrison James (Co-author) / Shrivastava, Aviral (Thesis director) / Dougherty, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Unmanned Aerial Vehicles, more commonly referred to as drones, have been a hot subject for the past few years. In the news, stories about drones cause the public alarm because of their seemingly increasing use. Problems have arisen with drones congesting airspace where manned aircraft fly, posing a huge threat

Unmanned Aerial Vehicles, more commonly referred to as drones, have been a hot subject for the past few years. In the news, stories about drones cause the public alarm because of their seemingly increasing use. Problems have arisen with drones congesting airspace where manned aircraft fly, posing a huge threat to pilots and passengers of those aircraft. They have also caused concern of the public in matters of privacy. Drones are a go-anywhere and see-anything type of tool. They go where manned aircraft cannot, and where humans on the ground cannot. This video takes an in depth look at the issue of increasing civilian drone use, new regulations on users, categorizing types of drones, and possible solutions to the problems. Throughout the video, there will be three interviews. These interviews will be with experts in the field. The first person is Dr. Sarah Nilsson, Esq. She is a lawyer in drone law with her own practice. She has her PhD, CFI, and CFII as well as professional flying experience. The second person is Mr. Chris Andres. He is the Airport Administrator of Chandler Municipal Airport and offers a unique perspective on drones from an airport management standpoint. Lastly, the third person interviewed is a salesman at Viper Hobbies located in Mesa, AZ. He offers a perspective of drone use from the retail side, and also insight in FAA requirements of retailers and how retailers might offer education on regulation to the public.
ContributorsKataria, Sunil (Co-author) / Wren, Nicholas (Co-author) / Kimberly, Jimmy (Thesis director) / Nullmeyer, Robert (Committee member) / School of Life Sciences (Contributor) / Department of Military Science (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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The majority of trust research has focused on the benefits trust can have for individual actors, institutions, and organizations. This “optimistic bias” is particularly evident in work focused on institutional trust, where concepts such as procedural justice, shared values, and moral responsibility have gained prominence. But trust in institutions may

The majority of trust research has focused on the benefits trust can have for individual actors, institutions, and organizations. This “optimistic bias” is particularly evident in work focused on institutional trust, where concepts such as procedural justice, shared values, and moral responsibility have gained prominence. But trust in institutions may not be exclusively good. We reveal implications for the “dark side” of institutional trust by reviewing relevant theories and empirical research that can contribute to a more holistic understanding. We frame our discussion by suggesting there may be a “Goldilocks principle” of institutional trust, where trust that is too low (typically the focus) or too high (not usually considered by trust researchers) may be problematic. The chapter focuses on the issue of too-high trust and processes through which such too-high trust might emerge. Specifically, excessive trust might result from external, internal, and intersecting external-internal processes. External processes refer to the actions institutions take that affect public trust, while internal processes refer to intrapersonal factors affecting a trustor’s level of trust. We describe how the beneficial psychological and behavioral outcomes of trust can be mitigated or circumvented through these processes and highlight the implications of a “darkest” side of trust when they intersect. We draw upon research on organizations and legal, governmental, and political systems to demonstrate the dark side of trust in different contexts. The conclusion outlines directions for future research and encourages researchers to consider the ethical nuances of studying how to increase institutional trust.

ContributorsNeal, Tess M.S. (Author) / Shockley, Ellie (Author) / Schilke, Oliver (Author)
Created2016
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Over the past six years, the use of drones for recreational and commercial purposes has increased dramatically. There are currently over one million registered drones in the United States, and this number is expected to increase in the foreseeable future. For now, drones are a local phenomenon. The operational limitations

Over the past six years, the use of drones for recreational and commercial purposes has increased dramatically. There are currently over one million registered drones in the United States, and this number is expected to increase in the foreseeable future. For now, drones are a local phenomenon. The operational limitations prevent them from long range activity and federal policies prevent them from operating beyond the visual line of sight of the controller. The localized nature of drone operation makes them a particularly salient issue at the local regulatory level. At this level, cities must contend with the uncertainty of drone operation and a complex regulatory environment. Within a single metropolitan region, there are cities that may attempt to restrict the use of drones through various local ordinances while neighboring cities may have not even considered, let alone adopted, any type of regulation. The reasons behind these policy choices are not clear.

In an effort to understand the factors involved in the decisions to adopt a local drone use policy, this dissertation leverages qualitative methods to analyze the policy process leading to local decisions. The study capitalizes on rich contextual data gathered from a variety of sources for select cities in Orange and Los Angeles Counties. Specifically, this study builds a conceptual framework from policy innovation literature and applies it in the form of content analysis. This initial effort is used to identify the catalysts for policy discussion and the specific innovation mechanisms that support or detract from the decision to adopt a local drone use ordinance. Then, qualitative comparative analysis is used to determine which configuration of factors, identified during the content analysis, contribute to the causal path of policy adoption. Among other things, the results highlight the role that uncertainty plays in the policy process. Cities that adopt a drone use ordinance have low levels of uncertainty, high numbers of registered drone users, and at least two neighboring cities that also have drone use policies. This dissertation makes a modest contribution to policy innovation research, highlights how a configurational analysis technique can be applied to policy adoption decisions, and contains several recommendations for regulating drone use at the local level.
ContributorsNelson, Jake (Author) / Grubesic, Tony H. (Thesis advisor) / Kim, Yushim (Committee member) / Corley, Elizabeth (Committee member) / Mossberger, Karen (Committee member) / Arizona State University (Publisher)
Created2019
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The current study aims to explore factors affecting trust in human-drone collaboration. A current gap exists in research surrounding civilian drone use and the role of trust in human-drone interaction and collaboration. Specifically, existing research lacks an explanation of the relationship between drone pilot experience, trust, and trust-related behaviors as

The current study aims to explore factors affecting trust in human-drone collaboration. A current gap exists in research surrounding civilian drone use and the role of trust in human-drone interaction and collaboration. Specifically, existing research lacks an explanation of the relationship between drone pilot experience, trust, and trust-related behaviors as well as other factors. Using two dimensions of trust in human-automation team—purpose and performance—the effects of experience on drone design and trust is studied to explore factors that may contribute to such a model. An online survey was conducted to examine civilian drone operators’ experience, familiarity, expertise, and trust in commercially available drones. It was predicted that factors of prior experience (familiarity, self-reported expertise) would have a significant effect on trust in drones. The choice to use or exclude the drone propellers in a search-and-identify scenario, paired with the pilots’ experience with drones, would further confirm the relevance of the trust dimensions of purpose versus performance in the human-drone relationship. If the pilot has a positive sense of purpose and benevolence with the drone, the pilot trusts the drone has a positive intent towards them and the task. If the pilot has trust in the performance of the drone, they ascertain that the drone has the skill to do the task. The researcher found no significant differences between mean trust scores across levels of familiarity, but did find some interaction between self-report expertise, familiarity, and trust. Future research should further explore more concrete measures of situational participant factors such as self-confidence and expertise to understand their role in civilian pilots’ trust in their drone.
ContributorsNiichel, Madeline Kathleen (Author) / Chiou, Erin (Thesis advisor) / Cooke, Nancy J. (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2019
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Unmanned Aerial Vehicles (UAVs) have become readily available for both the average consumer and professional due to decreases in price and increases in technological capabilities. This work ventured to explore the feasible use of UAV-technology in the area of roof analysis for facilities management purposes and contrast it to traditional

Unmanned Aerial Vehicles (UAVs) have become readily available for both the average consumer and professional due to decreases in price and increases in technological capabilities. This work ventured to explore the feasible use of UAV-technology in the area of roof analysis for facilities management purposes and contrast it to traditional techniques of inspection. An underlying goal of this work was two-fold. First, it was to calculate the upfront cost of investing in appropriate UAV equipment and training for a typical staff member to become proficient at doing such maintenance work in the practice of actual roof inspections on a sample set of roofs. Secondly, it was to compare the value of using this UAV method of investigation to traditional practices of inspecting roofs manually by personally viewing and walking roofs. The two methods for inspecting roofs were compared using various metrics, including time, cost, value, safety, and other relevant measurables. In addition to the study goals, this research was able to identify specific benefits and hazards for both methods of inspection through empirical trials. These points illustrate the study as Lessons Learned from the experience, which may be of interest to those Facilities Managers who are considering investing resources in UAV training and equipment for industrial purposes. Overall, this study helps to identify the utility of UAV technology in a well-established professional field in a way that has not been previously conducted in academia.
ContributorsBodily, Jordan (Author) / Sullivan, Kenneth (Thesis advisor) / Smithwick, Jake (Committee member) / Stone, Brian (Committee member) / Arizona State University (Publisher)
Created2020
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Multi-robot systems show great promise in performing complex tasks in areas ranging from search and rescue to interplanetary exploration. Yet controlling and coordinating the behaviors of these robots effectively is an open research problem. This research investigates techniques to control a multi-drone system where the drones learn to act in

Multi-robot systems show great promise in performing complex tasks in areas ranging from search and rescue to interplanetary exploration. Yet controlling and coordinating the behaviors of these robots effectively is an open research problem. This research investigates techniques to control a multi-drone system where the drones learn to act in a physics-based simulator using demonstrations from artificially generated motion data that simulate flocking behavior in biological swarms. Using these demonstrations enables faster training than approaches where the agents start learning from scratch. The Graph Neural Network (GNN) controller used for the drones learns an efficient representation of low-level interactions in the system, allowing the proposed method to scale to more agents than in training data. This work also discusses techniques to improve performance in the face of real-world challenges such as sensor noise.
ContributorsKhopkar, Parth (Author) / Ben Amor, Heni H (Thesis advisor) / Pavlic, Theodore T (Committee member) / Zhou, Siyu S (Committee member) / Arizona State University (Publisher)
Created2021
Description
As technology and legislation advances, small unmanned aerial systems (SUAS), better known as drones, have begun to become an integral part of emergency services. Large departments such as the New York City fire department and the National Park Service have implemented very successful programs. However, many departments are still not

As technology and legislation advances, small unmanned aerial systems (SUAS), better known as drones, have begun to become an integral part of emergency services. Large departments such as the New York City fire department and the National Park Service have implemented very successful programs. However, many departments are still not using them despite this uptick in usage. In order to improve accessibility of this technology, I set out to perform field research and develop a series of public service announcement videos combined with standard operating procedures (SOPs) in order to create a model that can help departments start their own SUAS programs. Through hours of fieldwork, I was able to develop policies and procedures that I then laid out in various videos and SOPs, all with the intention of improving accessibility to this technology. The benefits of SUAS are numerous and can greatly improve patient outcomes as well as improve first responder safety. Through my research, I created a strong foundation for any department no matter the size or location to be able to start their own program with relative ease.
ContributorsPetri, Griffin (Author) / Fette, Donald (Thesis director) / Foy, Joseph (Committee member) / Department of Military Science (Contributor) / School of Geographical Sciences and Urban Planning (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-12