Matching Items (2)
Filtering by

Clear all filters

155049-Thumbnail Image.png
Description
American Indian literature is replete with language that refers to broken or hollow promises the US government has made to American Indians, one of the most prominent being that the US government has not kept its promises regarding health services for American Indians/Alaska Natives (AI/AN). Some commenters refer to treaties

American Indian literature is replete with language that refers to broken or hollow promises the US government has made to American Indians, one of the most prominent being that the US government has not kept its promises regarding health services for American Indians/Alaska Natives (AI/AN). Some commenters refer to treaties between tribes and the US government as the origin of the promise for health services to AI/AN. Others point to the trust relationship between the sovereign nations of American Indian tribes and the US government, while still others assert that the Snyder Act of 1921 or the Indian Health Care Improvement Act (IHCIA) contained the promise for health care. While the US has provided some form of health care for AI/AN since the country was in its infancy, and continues to do so through the Indian Health Service, the promise of health services for AI/AN is not explicit.

Philosophers have articulated that a promise contains a moral obligation to fulfill it because of others’ expectations created by that promise. As the US government made its first promises in early treaties with AI/AN tribes and subsequently made promises in the years since, it is morally obligated to fulfill those promises, be they lying promises or not, because of resulting expectations. Yet, the US government has historically acted to restrict the rights of AI/AN—rights that include access to health services—through assimilation, separation, or termination policies. Further, the policies of the US government have kept the AI/AN populations socioeconomically impoverished, dependent on the US government for basic needs, and susceptible to health-compromising conditions.

Using case studies, this dissertation looks not only at the policies and events that directly affected health services and health status, but also at how those policies and events contributed to health outcomes and the expectations of AI/AN. Given the history of the US government in fulfilling (or not fulfilling) its promises, this dissertation examines the expectations of AI/AN for their own future health outcomes under the policy of self-governance.
ContributorsDrago, Mary (Author) / Maienschein, Jane (Thesis advisor) / Ellison, Karin (Committee member) / Herkert, Joseph (Committee member) / Hurlbut, James (Committee member) / Robert, Jason (Committee member) / Trujillo, Michael (Committee member) / Arizona State University (Publisher)
Created2016
154982-Thumbnail Image.png
Description
This dissertation research investigates the social implications of computing artifacts that make use of sensor driven self-quantification to implicitly or explicitly direct user behaviors. These technologies are referred to here as self-sensoring prescriptive applications (SSPA’s). This genre of technological application has a strong presence in healthcare as a means to

This dissertation research investigates the social implications of computing artifacts that make use of sensor driven self-quantification to implicitly or explicitly direct user behaviors. These technologies are referred to here as self-sensoring prescriptive applications (SSPA’s). This genre of technological application has a strong presence in healthcare as a means to monitor health, modify behavior, improve health outcomes, and reduce medical costs. However, the commercial sector is quickly adopting SSPA’s as a means to monitor and/or modify consumer behaviors as well (Swan, 2013). These wearable devices typically monitor factors such as movement, heartrate, and respiration; ostensibly to guide the users to better or more informed choices about their physical fitness (Lee & Drake, 2013; Swan, 2012b). However, applications that claim to use biosensor data to assist in mood maintenance and control are entering the market (Bolluyt, 2015), and applications to aid in decision making about consumer products are on the horizon as well (Swan, 2012b). Interestingly, there is little existing research that investigates the direct impact biosensor data have on decision making, nor on the risks, benefits, or regulation of such technologies. The research presented here is inspired by a number of separate but related gaps in existing literature about the social implications of SSPA’s. First, how SSPA’s impact individual and group decision making and attitude formation within non-medical-care domains (e.g. will a message about what product to buy be more persuasive if it claims to have based the recommendation on your biometric information?). Second, how the design and designers of SSPA’s shape social behaviors and third, how these factors are or are not being considered in future design and public policy decisions.
ContributorsBaker, Denise A (Author) / Schweitzer, Nicholas J (Thesis advisor) / Wise, J. MacGregor (Thesis advisor) / Herkert, Joseph R (Committee member) / McDaniel, Troy (Committee member) / Arizona State University (Publisher)
Created2016