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  • 2014

  • Kemper, Theodore d. (2014) : Status, Power and Felicity In: Stets, Jan E.; Turner, Jonathan H. (Hg.): Handbook of the Sociology of Emotions: Volume II: Dordrecht: Springer Netherlands (Handbooks of Sociology and Social Research), S. 155-177

    DOI: https://doi.org/10.1007/978-94-017-9130-4_8 

    Abstract: Status-power theory provides a broad approach to emotions based on the idea that a large class of emotions results from 'real, recollected or imagined outcomes of social interaction,' with interaction defined in status-power terms. In this chapter, I address the relationship between status-power outcomes and the emotion/feeling of felicity (happiness, satisfaction, contentment or well-being). In prior statements of the theory happiness was predicted from the interaction outcome of improvement in status (or standing) in a group, e.g., receiving a compliment, winning a prize, gaining a promotion; and also from the relational condition of providing status to another actor, especially notable in the case of love. This position is still maintained here, but new work in status-power theory (described in this chapter) and on how to formulate positive emotions leads to a more differentiated approach to the question of what kinds of social relations make a person feel happy. First , I will briefly review status-power theory, including an up-dated conceptualization of happiness-relevant outcomes, focusing on four relational conditions in the status-power approach. Second, I will present some general considerations that bear on status-power outcomes and happiness. Third, I will review the literature pertaining to happiness outcomes in the four relational conditions. Finally, because many students of happiness believe happiness is an outcome of living a 'meaningful' life, I will consider the status-power significance of meaningfulness (PsycINFO Database Record (c) 2016 APA, all rights reserved) zitiert von 5

  • 2012

  • Fernández-Martínez, F.; Ferreiros, J.; Lucas-Cuesta, J. M.; Montero-Martínez, J. M.; San-Segundo, R.; Córdoba, R. (2012): Towards building intelligent speech interfaces through the use of more flexible, robust and natural dialogue management solutions. In: Interacting with Computers 24 (6), S. 482-498. DOI: 10.1016/j.intcom.2012.09.003

    DOI: https://doi.org/10.1016/j.intcom.2012.09.003 

    Abstract: In this paper a Bayesian Networks-based solution for dialogue modelling is presented. This solution is combined with carefully designed contextual information handling strategies. With the purpose of validating these solutions, and introducing a spoken dialogue system for controlling a Hi-Fi audio system as the selected prototype, a real-user evaluation has been conducted. Two different versions of the prototype are compared. Each version corresponds to a different implementation of the algorithm for the management of the actuation order, the algorithm for deciding the proper order to carry out the actions required by the user. The evaluation is carried out in terms of a battery of both subjective and objective metrics collected from speakers interacting with the Hi-Fi audio box through predefined scenarios. Defined metrics have been specifically adapted to measure: first, the usefulness and the actual relevance of the proposed solutions, and, secondly, their joint performance through their intelligent combination mainly measured as the level achieved with regard to the user satisfaction. A thorough and comprehensive study of the main differences between both approaches is presented. Two-way analysis of variance (ANOVA) tests are also included to measure the effects of both: the system used and the type of scenario factors, simultaneously. Finally, the effect of bringing this flexibility, robustness and naturalness into our home dialogue system is also analyzed through the results obtained. These results show that the intelligence of our speech interface has been well perceived, highlighting its excellent ease of use and its good acceptance by users, therefore validating the approached dialogue management solutions and demonstrating that a more natural, flexible and robust dialogue is possible thanks to them. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

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