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Feedback, affect, and creative behavior: a multi-level model linking feedback to performance

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Researchers lament that feedback interventions often fail. Traditional theories assume a cognitive relationship between the receipt of feedback and its impact on employee performance. I offer a theoretical model derived from Affective Events and Broaden and Build Theories to shed

Researchers lament that feedback interventions often fail. Traditional theories assume a cognitive relationship between the receipt of feedback and its impact on employee performance. I offer a theoretical model derived from Affective Events and Broaden and Build Theories to shed new light on the feedback-performance relationship. I bridge the two primary streams of feedback literature-the passive receipt and active seeking-to examine how employees' affective responses to feedback drive how they use feedback to improve performance. I develop and test a model whereby supervisor developmental feedback and coworker feedback seeking relate to the positivity ratio (the ratio of positive as compared to negative affect), enabling them to be more creative and thus improving their performance. I test my model using Experience Sampling Methodology with a sample of MBA students over a two week working period.

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2014

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Affective Computing and the Association for Computing’s Code of Ethics

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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

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.

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2021-05