Affective computing allows computers to monitor and influence people’s affects, in other words emotions. Currently, there is a lot of research exploring what can be done with this technology. There are many fields, such as education, healthcare, and marketing, that this technology can transform. However, it is important to question what should be done. There are unique ethical considerations in regards to affective computing that haven't been explored. The purpose of this study is to understand the user’s perspective of affective computing in regards to the Association of Computing Machinery (ACM) Code of Ethics, to ultimately start developing a better understanding of these ethical concerns. For this study, participants were required to watch three different videos and answer a questionnaire, all while wearing an Emotiv EPOC+ EEG headset that measures their emotions. Using the information gathered, the study explores the ethics of affective computing through the user’s perspective.

CubeSats can encounter a myriad of difficulties in space like cosmic rays, temperature<br/>issues, and loss of control. By creating better, more reliable software, these problems can be<br/>mitigated and increase the chance of success for the mission. This research sets out to answer the<br/>question: how do we create reliable flight software for CubeSats? by providing a concentrated<br/>list of the best flight software development practices. The CubeSat used in this research is the<br/>Deployable Optical Receiver Aperture (DORA) CubeSat, which is a 3U CubeSat that seeks to<br/>demonstrate optical communication data rates of 1 Gbps over long distances. We present an<br/>analysis over many of the flight software development practices currently in use in the industry,<br/>from industry leads NASA, and identify three key flight software development areas of focus:<br/>memory, concurrency, and error handling. Within each of these areas, the best practices were<br/>defined for how to approach the area. These practices were also developed using experience<br/>from the creation of flight software for the DORA CubeSat in order to drive the design and<br/>testing of the system. We analyze DORA’s effectiveness in the three areas of focus, as well as<br/>discuss how following the best practices identified helped to create a more reliable flight<br/>software system for the DORA CubeSat.

Social injustice issues are a familiar, yet very arduous topic to define. This is because they are difficult to predict and tough to understand. Injustice issues negatively affect communities because they directly violate human rights and they span a wide range of areas. For instance, injustice issues can relate to unfair labor practices, racism, gender bias, politics etc. This leaves numerous individuals wondering how they can make sense of social injustice issues and perhaps take efforts to stop them from occurring in the future. In an attempt to understand the rather complicated nature of social injustice, this thesis takes a data driven approach to define a social injustice index for a specific country, India. The thesis is an attempt to quantify and track social injustice through social media to see the current social climate. This was accomplished by developing a web scraper to collect hate speech data from Twitter. The tweets collected were then classified by their level of hate and presented on a choropleth map of India. Ultimately, a user viewing the ‘India Social Injustice Index’ map should be able to simply view an index score for a desired state in India through a single click. This thesis hopes to make it simple for any user viewing the social injustice map to make better sense of injustice issues.

NASA has partnered with multiple colleges, including ASU, on a mission to study an asteroid called Psyche. Psyche is the first asteroid discovered made of metal, mostly iron, that is close enough for us to study and could give insight into what Earth’s core is like. The mission plans and research documents on how the various measurement tools work are not engaging to those without a background in STEM. This serves as inspiration to make a web-based game in order to make the information more engaging to the player. This web-based game will take the user through the Psyche mission going from the assembly of the measurement tools all the way to when the satellite is orbiting the asteroid. The creative project consisted of creating a simulation for a young audience, between ages 10 and 18, to experience what the mission could look like once the satellite is at the Psyche asteroid and what the data collected could mean. The asteroid could have been formed through a process called the dynamo process or it could be a piece of a larger parent body. It could be made mostly of metal or silicates, which will be determined during the mission. These are some of the results that will be generalized and relayed to the player. This creative project includes the four main sections of the orbit phase of the mission in which the users will perform tasks to collect some data in order to see some of the generalized possible results of the study of Psyche. Some of the data collected would be the amount of metal making up the asteroid and figuring out what the gravitational pull is. The first main section will use the magnetometer, the second section will use the multispectral imager, the third section will use X-Band Radio Waves, and the fourth section will use the gamma ray and neutron spectrometer.

The purpose of this research thesis paper is to provide further insight into the development of extended reality (XR), augmented reality (AR), and virtual reality (VR) technologies within the educational space and survey how well they are received as well as whether or not they can provide additional learning benefit in regards to other learning mediums such as reading textbooks, watching videos on the subject matter, and other such more traditional mediums. The research conducted consisted of a collaborative effort alongside the School of Biological and Health Systems Engineering (SBHSE) personnel and using their provided resources in order to generate a framework with the aforementioned technology, to aid in the development of a web-based XR system which will serve primarily as a means for SBHSE students at Arizona State University (ASU) to enhance their learning experience when it comes to topics such as anatomy and physiology of the human body, with the potential of extending this technology towards other subject matters as well, such as other STEM-related fields. Information about the initial research which included an analysis of the pertinent readings that support a benefit to using XR technology as a means to deliver course content is what is first focused on throughout this document. Then, the process that went into the design and development of the base framework that was in joint collaboration with the SBHSE will be covered. And, to conclude, a case study to generate applicable data to support the argument is covered as well as the results from it, which presented a potential for a future development plan and next steps plan once the developed materials and research are handed off.

Coliving is a concept that has many benefits towards society and sustainability. This is due to the resources saved economically and environmentally when living with other people. Aisha Comfortable Coliving, a company based in Canada, provides a service where they help women find Coliving communities. A lack of knowledge pertaining to this service could slow down or halt the growth of Aisha ElSherbiny’s Aisha Comfortable Coliving company. This thesis was an extension of a broader project, “Web App for Aisha Comfortable Coliving Inc.,” which focused on transitioning from their current website platform into a web application. As an extension of this main project, this thesis is focused on the engine component design portion surrounding AI chatbots to determine which implementation would provide the best results for a small company in reaching their target audience and helping inform them through an interactive chatbot. The ability to present 24/7 support for Aisha Comfortable Coliving brings value to the company and the methods used in this chatbot can be reproduced in order to create similarly effective chatbots. This thesis delves into the various approaches and implementations researched to determine how to optimize the backend of a chatbot to provide speed, reliability, and expandability for companies aiming to create a chatbot for their users to interact with. It also discusses the methods used when implementing a chatbot called AishaBot using the IBM Watson Assistant’s platform that includes the development of Intents, Entities, Dialog Tree structure, and its WebHook functions. Overall, satisfaction pertaining to the designed chatbot engine within IBM Watson Assistant was discovered to be positive through user trials. Limitations have been discovered, feedback for future improvements have been noted, and lessons learned about the thoroughness of training data have been discussed.

Engaging users is essential for designers of any exhibit, such as the human-computer interface, the visual effects, or the informational content. The need to understand users’ experiences and learning gains has motivated a focus on user engagement across computer science. However, there has been limited review of how human-computer interaction research interprets and employs the concepts in museum and exhibit settings, specifically their joint effects. The purpose of this study is to assess users’ experience and learning outcome, while interacting with a web application part of an exhibit that showcases the NASA Psyche spacecraft model. This web application provides an interactive menu that allows the user to navigate on the touch panel installed within the Psyche Spacecraft Exhibit. The user can press the button on the menu which will light up the corresponding parts of the model with a detailed description displayed on the panel. For this study, participants were required to take a questionnaire, a pretest, and a posttest. They were also required to interact with the web application while wearing an Emotiv EPOC+ EEG headset that measures their emotions while they were visiting the exhibit. During the study, data such as questionnaire results, sensed emotions from the EEG headset, and pretest and posttest scores were collected. Using the information gathered, the study explores user experience and learning gains through both biometrics and traditional tools. The findings show that users felt engaged and frustrated the most and that users gained more knowledge but at varying degrees from the interaction. Future work can be done to lower the levels of frustration and keep learning gains at a more consistent rate by improving the exhibit design to better meet various learning needs and visitor profiles.