Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
Displaying 1 - 10 of 119
Filtering by
Description
The field of robotics is rapidly expanding, and with it, the methods of teaching and introducing students must also advance alongside new technologies. There is a challenge in robotics education, especially at high school levels, to expose them to more modern and practical robots. One way to bridge this gap is human-robot interaction for a more hands-on and impactful experience that will leave students more interested in pursuing the field. Our project is a Robotic Head Kit that can be used in an educational setting to teach about its electrical, mechanical, programming, and psychological concepts. We took an existing robot head prototype and further advanced it so it can be easily assembled while still maintaining human complexity. Our research for this project dove into the electronics, mechanics, software, and even psychological barriers present in order to advance the already existing head design. The kit we have developed combines the field of robotics with psychology to create and add more life-like features and functionality to the robot, nicknamed "James Junior." The goal of our Honors Thesis was to initially fix electrical, mechanical, and software problems present. We were then tasked to run tests with high school students to validate our assembly instructions while gathering their observations and feedback about the robot's programmed reactions and emotions. The electrical problems were solved with custom PCBs designed to power and program the existing servo motors on the head. A new set of assembly instructions were written and modifications to the 3D printed parts were made for the kit. In software, existing code was improved to implement a user interface via keypad and joystick to give students control of the robot head they construct themselves. The results of our tests showed that we were not only successful in creating an intuitive robot head kit that could be easily assembled by high school students, but we were also successful in programming human-like expressions that could be emotionally perceived by the students.
ContributorsRathke, Benjamin (Co-author) / Rivera, Gerardo (Co-author) / Sodemann, Angela (Thesis director) / Itagi, Manjunath (Committee member) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Many researchers aspire to create robotics systems that assist humans in common office tasks, especially by taking over delivery and messaging tasks. For meaningful interactions to take place, a mobile robot must be able to identify the humans it interacts with and communicate successfully with them. It must also be able to successfully navigate the office environment. While mobile robots are well suited for navigating and interacting with elements inside a deterministic office environment, attempting to interact with human beings in an office environment remains a challenge due to the limits on the amount of cost-efficient compute power onboard the robot. In this work, I propose the use of remote cloud services to offload intensive interaction tasks. I detail the interactions required in an office environment and discuss the challenges faced when implementing a human-robot interaction platform in a stochastic office environment. I also experiment with cloud services for facial recognition, speech recognition, and environment navigation and discuss my results. As part of my thesis, I have implemented a human-robot interaction system utilizing cloud APIs into a mobile robot, enabling it to navigate the office environment, identify humans within the environment, and communicate with these humans.
ContributorsDSouza, Daniel Anand (Author) / Kambhampati, Subbarao (Thesis director) / Zhang, Yu (Committee member) / Computer Science and Engineering Program (Contributor) / School of Computing, Informatics, and Decision Systems Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Preventive maintenance is a practice that has become popular in recent years, largely due to the increased dependency on electronics and other mechanical systems in modern technologies. The main idea of preventive maintenance is to take care of maintenance-type issues before they fully appear or cause disruption of processes and daily operations. One of the most important parts is being able to predict and foreshadow failures in the system, in order to make sure that those are fixed before they turn into large issues. One specific area where preventive maintenance is a very big part of daily activity is the automotive industry. Automobile owners are encouraged to take their cars in for maintenance on a routine schedule (based on mileage or time), or when their car signals that there is an issue (low oil levels for example). Although this level of maintenance is enough when people are in charge of cars, the rise of autonomous vehicles, specifically self-driving cars, changes that. Now instead of a human being able to look at a car and diagnose any issues, the car needs to be able to do this itself. The objective of this project was to create such a system. The Electronics Preventive Maintenance System is an internal system that is designed to meet all these criteria and more. The EPMS system is comprised of a central computer which monitors all major electronic components in an autonomous vehicle through the use of standard off-the-shelf sensors. The central computer compiles the sensor data, and is able to sort and analyze the readings. The filtered data is run through several mathematical models, each of which diagnoses issues in different parts of the vehicle. The data for each component in the vehicle is compared to pre-set operating conditions. These operating conditions are set in order to encompass all normal ranges of output. If the sensor data is outside the margins, the warning and deviation are recorded and a severity level is calculated. In addition to the individual focus, there's also a vehicle-wide model, which predicts how necessary maintenance is for the vehicle. All of these results are analyzed by a simple heuristic algorithm and a decision is made for the vehicle's health status, which is sent out to the Fleet Management System. This system allows for accurate, effortless monitoring of all parts of an autonomous vehicle as well as predictive modeling that allows the system to determine maintenance needs. With this system, human inspectors are no longer necessary for a fleet of autonomous vehicles. Instead, the Fleet Management System is able to oversee inspections, and the system operator is able to set parameters to decide when to send cars for maintenance. All the models used for the sensor and component analysis are tailored specifically to the vehicle. The models and operating margins are created using empirical data collected during normal testing operations. The system is modular and can be used in a variety of different vehicle platforms, including underwater autonomous vehicles and aerial vehicles.
ContributorsMian, Sami T. (Author) / Collofello, James (Thesis director) / Chen, Yinong (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This Barrett, the Honors College senior thesis connects the experiences of cosplay with public speaking confidence. “Cosplay, abbreviated from the word ‘costume play,’ is a performance art in which the participant masquerades as a character from a selected film, television, video game, or comic book” (Gn, 2011, p. 583). The ability to “cosplay” in front of other relies on performing in front of an audience much like public speaking. When students speak with confidence, students will know their ideas are being expressed with conviction and assurance. Having the ability to speak professionally and publicly, is a highly valued skill in the workforce and key to success in all types of employment. Communication skills are frequently a top factor in determining whether a college student will obtain employment (Beebe & Beebe, 2006, p. 275-276). Despite their different definitions, there are multiple connections between cosplay and public speaking. This thesis explores the connection between peer support and belief in one’s self in both cosplay and public speaking. Now those who have direct support become self-reliant and confident as a result of these connections. This projects highlights Goffman’s identity theory, the Pygmalion effect, theories of fashion and identity, role-play, narrative paradigm, dramatism, and non-verbal communication, and explores how cosplay can contribute to the formation of one’s public speaking persona. The issue of anxiety is also included in the conversation as it is central to both cosplay and public speaking. Ultimately, this thesis explores the questions: Can cosplay help students become empowered public speakers?
ContributorsGallardo Rojas, Lizette (Author) / Ramsey, Ramsey Eric (Thesis director) / Wentzel, Bonnie (Committee member) / School of Social and Behavioral Sciences (Contributor) / School of Criminology and Criminal Justice (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis proposes the concept of soft robotic supernumerary limbs to assist the wearer in the execution of tasks, whether it be to share loads or replace an assistant. These controllable extra arms are made using soft robotics to reduce the weight and cost of the device, and are not limited in size and location to the user's arm as with exoskeletal devices. Soft robotics differ from traditional robotics in that they are made using soft materials such as silicone elastomers rather than hard materials such as metals or plastics. This thesis presents the design, fabrication, and testing of the arm, including the joints and the actuators to move them, as well as the design and fabrication of the human-body interface to unite man and machine. This prototype utilizes two types of pneumatically-driven actuators, pneumatic artificial muscles and fiber-reinforced actuators, to actuate the elbow and shoulder joints, respectively. The robotic limb is mounted at the waist on a backpack frame to avoid interfering with the wearer's biological arm. Through testing and evaluation, this prototype device proves the feasibility of soft supernumerary limbs, and opens up opportunities for further development into the field.
ContributorsOlson, Weston Roscoe (Author) / Polygerinos, Panagiotis (Thesis director) / Zhang, Wenlong (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In 2012, President Obama presented an executive order, Deferred Action for Childhood Arrivals (DACA), which primarily defers the deportation of unauthorized immigrants who are under the age of 31 and who arrived to the US before the age 16, among other things. This study examines the impact DACA has had on the identity formation, interfamilial relationships, and future plans of 15 Mexican-origin adults (18-27 years old, 47% female) who were approved for DACA in Arizona. Participants were recruited using flyers and the snowball sampling method. Interviews were conducted using a semi-structured interview guide by a bilingual, culturally competent interviewer. The interviews were recorded and then a transcript-based pragmatic, thematic analysis of the interviews was conducted. Findings show that participants who arrive to the U.S. at a younger age (under 5) identify as American, while those who arrive at an older age (over 8) do not feel like they can identify as an American because they spent more time in Mexico and are more attached to their home culture. Physical characteristics also played a factor in whether or not participants felt like they could identify as American. Participants describe their financial responsibility in their families increasing since receiving DACA. They also describe how they are now seen as role models to other undocumented youth in their families. Despite the uncertain future of DACA, these participants continued to have ambitious goals such as becoming lawyers and working at robotics companies. Future studies should include larger sample sizes and formally test theories of identity.
ContributorsLopez, Alejandra (Author) / Diaz McConnell, Eileen (Thesis director) / Martinez, Airin (Committee member) / School of Social Transformation (Contributor) / School of Transborder Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis focused on understanding how humans visually perceive swarm behavior through the use of swarm simulations and gaze tracking. The goal of this project was to determine visual patterns subjects display while observing and supervising a swarm as well as determine what swarm characteristics affect these patterns. As an ultimate goal, it was hoped that this research will contribute to optimizing human-swarm interaction for the design of human supervisory controllers for swarms. To achieve the stated goals, two investigations were conducted. First, subjects gaze was tracked while observing a simulated swarm as it moved across the screen. This swarm changed in size, disturbance level in the position of the agents, speed, and path curvature. Second, subjects were asked to play a supervisory role as they watched a swarm move across the screen toward targets. The subjects determined whether a collision would occur and with which target while their responses as well as their gaze was tracked. In the case of an observatory role, a model of human gaze was created. This was embodied in a second order model similar to that of a spring-mass-damper system. This model was similar across subjects and stable. In the case of a supervisory role, inherent weaknesses in human perception were found, such as the inability to predict future position of curved paths. These findings are discussed in depth within the thesis. Overall, the results presented suggest that understanding human perception of swarms offers a new approach to the problem of swarm control. The ability to adapt controls to the strengths and weaknesses could lead to great strides in the reduction of operators in the control of one UAV, resulting in a move towards one man operation of a swarm.
ContributorsWhitton, Elena Michelle (Author) / Artemiadis, Panagiotis (Thesis director) / Berman, Spring (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2015-05
Description
Across the world, nations manage their borders in various ways. Brazil and Uruguay share a non-militarized dry border, which creates a range of unique challenges and assets for that region. Through historical, linguistic, and cultural context as well as ethnography-inspired mixed method research, this paper demonstrates that the border region serves as an area of cultural blending. While elements of national affiliation are still present, at times, semiotic and linguistic elements are neither Brazilian nor Uruguayan, but have taken on their own identity.
ContributorsAraiza, Ulises (Co-author) / Desper, Tate (Co-author) / Escobar, Edward (Thesis director) / O'Connor, Brendan (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Transborder Studies (Contributor)
Created2015-05
Description
Robotic rehabilitation for upper limb post-stroke recovery is a developing technology. However, there are major issues in the implementation of this type of rehabilitation, issues which decrease efficacy. Two of the major solutions currently being explored to the upper limb post-stroke rehabilitation problem are the use of socially assistive rehabilitative robots, robots which directly interact with patients, and the use of exoskeleton-based systems of rehabilitation. While there is great promise in both of these techniques, they currently lack sufficient efficacy to objectively justify their costs. The overall efficacy to both of these techniques is about the same as conventional therapy, yet each has higher overhead costs that conventional therapy does. However there are associated long-term cost savings in each case, meaning that the actual current viability of either of these techniques is somewhat nebulous. In both cases, the problems which decrease technique viability are largely related to joint action, the interaction between robot and human in completing specific tasks, and issues in robot adaptability that make joint action difficult. As such, the largest part of current research into rehabilitative robotics aims to make robots behave in more "human-like" manners or to bypass the joint action problem entirely.
ContributorsRamakrishna, Vijay Kambhampati (Author) / Helms Tillery, Stephen (Thesis director) / Buneo, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / W. P. Carey School of Business (Contributor) / School of Life Sciences (Contributor)
Created2015-05
Description
It took the coming together of a community of people and their collective efforts to bring me where I am today academically. I would first like to thank Barrett, especially Dean Ramsey who helped build my appreciation for reading primary text, and NCUIRE for awarding me the grant for this project. I want to extend my gratitude to Dr. Jeffery Kassing for being more than a director for my thesis by patiently listening to me talk about my future aspiration, and Dr. Jim Reed for being a mentor and a second reader. I would also like to thank all the multitude of professors and other mentors who helped shape my perspective in seeing the bigger picture. I am mostly grateful to all those who directly and indirectly helped bring this thesis to realization. Lastly, but certainly not the least, I would like to say a big thank you to my entire family, loved ones, and friends here and back home for enthusiastically cheering me on.
ContributorsWento, Christiana Tally (Author) / Kassing, Jeffrey (Thesis director) / Reed, James (Committee member) / Barrett, The Honors College (Contributor) / School of Social and Behavioral Sciences (Contributor)
Created2015-05