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Social and Behavioral Sciences Commons

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Articles 1 - 3 of 3

Full-Text Articles in Social and Behavioral Sciences

Ubiquitous Emotion Analytics And How We Feel Today, Susan Currie Sivek Jan 2018

Ubiquitous Emotion Analytics And How We Feel Today, Susan Currie Sivek

Faculty Publications

Emotions are complicated. Humans feel deeply, and it can be hard to bring clarity to those depths, to communicate about feelings, or to understand others’ emotional states. Indeed, this emotional confusion is one of the biggest challenges of deciphering our humanity. However, a kind of hope might be on the horizon, in the form of emotion analytics: computerized tools for recognizing and responding to emotion. This analysis explores how emotion analytics may reflect the current status of humans’ regard for emotion. Emotion need no longer be a human sense of vague, indefinable feelings; instead, emotion is in the process of …


On The Micropolitics And Edges Of Survival In A Technocapital Sacrifice Zone, Peter C. Little Nov 2016

On The Micropolitics And Edges Of Survival In A Technocapital Sacrifice Zone, Peter C. Little

Faculty Publications

This article explores the industrial sacrifice zone of Endicott, New York, which in 1924 became the birthplace of International Business Machines Corporation and quickly established itself as an industrial launching pad for the production and innovation of modern computing technologies. Drawing on ethnographic research and taking a micropolitical ecology approach, I consider industrial decay and community corrosion key agents for understanding the sedimentary record of neoliberal “technocapitalism” [Suarez-Villa, Luis. 2009. Technocapitalism: A Critical Perspective on Technological Innovation and Corporatism. Philadelphia, PA: Temple University Press]. In particular, I explore here how the flip-side of local narratives of deindustrialization and economic …


Predicting Public Bicycle Adoption Using The Technology Acceptance Model, Benjamin T. Hazen, Robert E. Overstreet, Yacan Wang Nov 2015

Predicting Public Bicycle Adoption Using The Technology Acceptance Model, Benjamin T. Hazen, Robert E. Overstreet, Yacan Wang

Faculty Publications

Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in Beijing, China, the proposed covariance-based structural equation model consisting of perceived quality, perceived convenience, and perceived value is found to predict 50.5% of the variance in adoption intention. The findings of this research contribute to theory and practice in the burgeoning …