Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology’s SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method...
Elie Wiesel’s Night has become a canonical work in the genre of Holocaust literature. This thesis examines the process by which Night achieved this status. An argument will be composed using, as evidence, analysis of Elie Wiesel’s life, the broad history of Holocaust literature, and the complexities surrounding Night’s publication...
Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
In 2021, Oregon’s legislature passed House Bill 2021 with relative ease. House Bill 2021 is a mandate for the state’s two largest utilities to reduce carbon emissions from electricity generation on a decreasing scale, reaching 100% below baseline levels by 2040. This ambitious piece of legislation, meant to reduce the...
The purpose of this dissertation was to estimate the extent to which group-level synchrony predicts specific group outcomes. Synchrony is broadly defined as the coordination of biological and behavioral processes during social contact (Feldman, 2017). In this dissertation, biological coordination is defined as, “the spontaneous synchronization of physiological signals (e.g.,...
This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
Background/Purpose: US public health, criminal justice, and many other social and scientific processes are affected by the quality of data obtained about death. Yet, little research has focused on how death investigations are conducted. The overall goal of this research was to examine the process by which information was obtained...