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Deepfakes Generated By Generative Adversarial Networks, Olympia A. Paul Nov 2021

Deepfakes Generated By Generative Adversarial Networks, Olympia A. Paul

Honors College Theses

Deep learning is a type of Artificial Intelligence (AI) that mimics the workings of the human brain in processing data such as speech recognition, visual object recognition, object detection, language translation, and making decisions. A Generative adversarial network (GAN) is a special type of deep learning, designed by Goodfellow et al. (2014), which is what we call convolution neural networks (CNN). How a GAN works is that when given a training set, they can generate new data with the same information as the training set, and this is often what we refer to as deep fakes. CNN takes an input …


Entitled To Be Served: Does Self-Checkout Make Customers Feel Less Rewarded?, Farhana Nusrat, Yanliu Huang Jan 2021

Entitled To Be Served: Does Self-Checkout Make Customers Feel Less Rewarded?, Farhana Nusrat, Yanliu Huang

Association of Marketing Theory and Practice Proceedings 2021

The adoption of self-service technologies (SST) has been rising over the last few years, and among different SSTs, self-checkout systems are one of the most popular options. In this study, we examine how self-checkout service impacts customers’ shopping outcomes compared to regular checkout service. We propose that self-checkout (vs. regular checkout) systems, would make customers feel less rewarded and less satisfied with their purchases. We conducted four studies to test our hypotheses and showed that self-checkout (vs. regular checkout) service makes customers feel less rewarded, less satisfied with their shopping outcomes, and less likely to return to the store. We …