531 |
The Effects of Attention Control on Emotion RegulationLeever, William J. 31 March 2016 (has links)
No description available.
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532 |
The Effect of Emotional Valence of Stimuli on Lexical Retrieval in Younger and Older AdultsBlackett, Deena Schwen 22 September 2016 (has links)
No description available.
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533 |
Attachment and emotion regulation: changes in affect and vagal tone during stressMovahed Abtahi, Mahsa 22 April 2016 (has links)
No description available.
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534 |
Psychobiological Emotion Regulation Linking Maternal Depression to ParentingHummel, Alexandra Carlyle January 2017 (has links)
No description available.
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535 |
ON THE NATURE OF PREFERENCE IN DECISIONS INVOLVING RISK: A PROPORTION OF EMOTION MECHANISMReid, Aaron Ashley 10 October 2006 (has links)
No description available.
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536 |
The development and testing of a multi-component emotion induction methodPolifroni, Mark 15 March 2006 (has links)
No description available.
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537 |
Emotion Regulation Flexibility: An Exploration of the Effect of Flexibility in Emotion Regulation on MoodHeiy, Jane E. 01 September 2010 (has links)
No description available.
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538 |
Fear, Message Processing, and Memory: The Role of Emotional State and Production PacingCollier, James Gordon 09 September 2010 (has links)
No description available.
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539 |
Politics, Policy, and Some EmotionLisko, Chelsie Lee 17 December 2010 (has links)
No description available.
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540 |
IS MY ALEXA HAPPY WITH ME? ATTRIBUTIONS OF EMOTIONAL DISPLAYS IN HUMAN-COMPUTER INTERACTIONSHayden C Barber (13015233) 08 July 2022 (has links)
<p>Virtual assistants such as Amazon's Alexa can emulate a variety of emotions in their spoken feedback to user requests. The persuasive impact of these emotional displays depends on the inferences individuals make about these emotional displays. This dissertation investigates a class of inferences –attributions of cause to a virtual assistant's emotional display –which individuals use as social information about computer-interactants. The project hypothesized that three key factors influence individuals' attributions of cause to virtual assistants' emotional displays. The first is general tendencies in peoples' attributions of virtual assistants' emotional displays. Second is the target of a virtual assistant's emotional display –the communicated object of their displayed emotional state. The final component is borrowed from Kelley's covariance theory of attribution –the distinctiveness with which a specific emotional display repeatedly co-occurs with plausible explanations for the emotional display. Four attributional outcomes were predicted based on combinations of emotional display targets and the distinctiveness of the emotional display's covariance with potential causes for the emotional display. Findings suggest that individuals first and foremost attribute virtual assistant's emotional displays to the virtual assistant rather than situational causes, that emotional display targets can influence attributions, and that further work is needed to assess the role of distinctiveness in attributions of virtual assistant's emotional displays.</p>
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