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- All Subjects: Affect
- Creators: Anderson, Lisa
- Creators: Roberts, Nicole A.
- Creators: Chavez-Echeagaray, Maria Elena
- Status: Published
Utilizing frameworks from critical transgender studies, youth studies, and media studies, this project illustrates how value is distributed, and at the expense of whom this process of assigning value occurs, in media economies of transgender youth visibility. Discursive analyses of online self-representations, as well as of online representations of media narratives, facilitate this investigation into how transgender youth negotiate the terms of those narratives circulating about them in U.S. contemporary media. This project demonstrates that increases in visibility do not always translate into political power; at best, they distract from the need for political interventions for marginalized groups, and at worst, they erase those stories already far from view in popular discourse: of non-normative transgender youth who are already positioned outside the realm of intelligibility to a national body structured by a heteronormative binary gender system.
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.