56,520 research outputs found
Components of cultural complexity relating to emotions: A conceptual framework
Many cultural variations in emotions have been documented in previous research, but a general theoretical framework involving cultural sources of these variations is still missing. The main goal of the present study was to determine what components of cultural complexity interact with the emotional experience and behavior of individuals. The proposed framework conceptually distinguishes five main components of cultural complexity relating to emotions: 1) emotion language, 2) conceptual knowledge about emotions, 3) emotion-related values, 4) feelings rules, i.e. norms for subjective experience, and 5) display rules, i.e. norms for emotional expression
Affect Recognition in Ads with Application to Computational Advertising
Advertisements (ads) often include strongly emotional content to leave a
lasting impression on the viewer. This work (i) compiles an affective ad
dataset capable of evoking coherent emotions across users, as determined from
the affective opinions of five experts and 14 annotators; (ii) explores the
efficacy of convolutional neural network (CNN) features for encoding emotions,
and observes that CNN features outperform low-level audio-visual emotion
descriptors upon extensive experimentation; and (iii) demonstrates how enhanced
affect prediction facilitates computational advertising, and leads to better
viewing experience while watching an online video stream embedded with ads
based on a study involving 17 users. We model ad emotions based on subjective
human opinions as well as objective multimodal features, and show how
effectively modeling ad emotions can positively impact a real-life application.Comment: Accepted at the ACM International Conference on Multimedia (ACM MM)
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The effect of anticipated and experienced regret and pride on investors' future selling decisions : [Version November 2012]
This paper investigates the effect of anticipated/experienced regret and pride on individual investorsâ decisions to hold or sell a winning or losing investment, in the form of the disposition effect. As expected the results suggest that in the loss domain, low anticipated regret predicts a greater probability of selling a losing investment. While in the gain domain, high anticipated pride indicates a greater probability of selling a winning investment. The effects of high experienced regret/pride on the selling probability are found as well. An unexpected finding is that regret (pride) seems to be not only relevant for the loss (gain) domain, but also for the gain (loss) domain. In addition, this paper presents evidence of interconnectedness between anticipated and experienced emotions. The authors discuss the implications of these findings and possible avenues for further research
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