[1] “Dove, unilever,” Accessed: 2015-04-20. Specifically, the conclusions of this work towards the re

[2] Jacquelyn Smith, “The most unforgettable ad campaigns of 2013,” December 2013. search questions raised in this paper are as follows: 

[3] Peter Noel Murray, “How emotions influence what we buy,” February RQ1 For positive affect, negative affect and enjoyment, 2013. 

[4] Susan T Fiske, Amy JC Cuddy, and Peter Glick, “Universal dimensions personality and culture represented 5.6%, 13.6% of social cognition: Warmth and competence,” Trends in cognitive and 9.3% of the variance respectively. While this sciences, vol. 11, no. 2, pp. 77-83, 2007. is an important proportion, further study is needed 

[5] Kathy A Winter and Nicholas A Kuiper, “Individual differences in the experience of emotions,” Clinical psychology review, vol. 17, no. 7, pp. to discover other contributing factors, which could 791-821, 1997. include sensory impairments and expertise. 

[6] Wonhee Choe, Hyo-Sun Chun, Junhyug Noh, Seong-Deok Lee, and RQ2 Traits of extraversion, conscientiousness, masculinByoung-Tak Zhang, “Estimating multiple evoked emotions from videos,” in Proceedings of Annual Meeting of the Cognitive Science ity and indulgence are significant predictors for Society, 2013, pp. 2046-2051. positive affect, and agreeableness, neuroticism, con

[7] Gerald Matthews, Ian J Deary, and Martha C Whiteman, Personality scientiousness and indulgence were important pretraits, Cambridge University Press, 2003. 

[8] Geert Hoftede, Gert Jan Hofstede, and Michael Minkov, Cultures and dictors for negative affect, and conscientiousness, organizations: software of the mind: intercultural cooperation and its openness and uncertainity avoidance were signifiimportance for survival, McGraw-Hill, 2010. 

[9] Zhihong Zeng, Maja Pantic, Glenn I Roisman, and Thomas S Huang, [28] Sharath Chandra Guntuku, Sujoy Roy, and Weisi Lin, “Personality “A survey of affect recognition methods: Audio, visual, and spontaneous modeling based image recommendation,” in MultiMedia Modeling. expressions,” Pattern Analysis and Machine Intelligence, IEEE TransSpringer, 2015, pp. 171-182. actions on, vol. 31, no. 1, pp. 39-58, 2009. [29] Jennifer Golbeck, Cristina Robles, and Karen Turner, “Predicting 

[10] Luca Canini, Sergio Benini, and Riccardo Leonardi, “Affective recompersonality with social media,” in CHI'11 extended abstracts on human mendation of movies based on selected connotative features,” Circuits factors in computing systems. ACM, 2011, pp. 253-262. and Systems for Video Technology, IEEE Transactions on, vol. 23, no. [30] Alessandro Vinciarelli and Gelareh Mohammadi, “A survey of person4, pp. 636-647, 2013. ality computing,” 2014. 

[11] Subhabrata Bhattacharya, Behnaz Nojavanasghari, Tao Chen, Dong [31] Saham Barza and Mehran Memari, “Movie genre preference and Liu, Shih-Fu Chang, and Mubarak Shah, “Towards a comprehensive culture,” Procedia-Social and Behavioral Sciences, vol. 98, pp. 363- computational model foraesthetic assessment of videos,” in Proceedings 368, 2014. of the 21st ACM international conference on Multimedia. ACM, 2013, [32] C Samuel Craig, William H Greene, and Susan P Douglas, “Culture pp. 361-364. matters: consumer acceptance of us films in foreign markets,” Journal 

[12] Cheng-Yu Wei, Nevenka Dimitrova, and Shih-Fu Chang, “Colorof International Marketing, vol. 13, no. 4, pp. 80-103, 2005. mood analysis of films based on syntactic and psychological models,” [33] Geert Hofstede, Gert Jan Hofstede, Michael Minkov, and in Multimedia and Expo, 2004. ICME'04. 2004 IEEE International Henk Vinken, “Values survey module 2013,” URL: Conference on. IEEE, 2004, vol. 2, pp. 831-834. http://www.geerthofstede.nl/vsm2013, 2013. 

[13] Sergio Benini, Luca Canini, and Riccardo Leonardi, “A connotative [34] Samuel D Gosling, Peter J Rentfrow, and William B Swann, “A very space for supporting movie affective recommendation,” Multimedia, brief measure of the big-five personality domains,” Journal of Research IEEE Transactions on, vol. 13, no. 6, pp. 1356-1370, 2011. in personality, vol. 37, no. 6, pp. 504-528, 2003. 

[14] Bj¨ rn Schuller, Michel Valstar, Florian Eyben, Gary McKeown, Roddy o [35] Gregory J McHugo, Craig A Smith, and John T Lanzetta, “The structure Cowie, and Maja Pantic, “Avec 2011-the first international audio/visual of self-reports of emotional responses to film segments,” Motivation and emotion challenge,” in Affective Computing and Intelligent Interaction, Emotion, vol. 6, no. 4, pp. 365-385, 1982. pp. 415-424. Springer, 2011. [36] Lewis R Goldberg, “An alternative” description of personality”: the big

[15] Rajitha Navarathna, Patrick Lucey, Peter Carr, Elizabeth Carter, Sridha five factor structure.,” Journal of personality and social psychology, vol. 59, no. 6, pp. 1216, 1990. Sridharan, and Iain Matthews, “Predicting movie ratings from audience behaviors,” in Applications of Computer Vision (WACV), 2014 IEEE [37] George Ghinea and Johnson P Thomas, “Qos impact on user perception Winter Conference on. IEEE, 2014, pp. 1058-1065. and understanding of multimedia video clips,” in Proceedings of the sixth ACM international conference on Multimedia. ACM, 1998, pp. 

[16] Mohammad Soleymani, Maja Pantic, and Thierry Pun, “Multimodal 49-54. emotion recognition in response to videos,” Affective Computing, IEEE [38] Nick Yeung and Alan G Sanfey, “Independent coding of reward magTransactions on, vol. 3, no. 2, pp. 211-223, 2012. nitude and valence in the human brain,” The Journal of Neuroscience, 

[17] Sander Koelstra, Christian Muhl, Mohammad Soleymani, Jong-Seok vol. 24, no. 28, pp. 6258-6264, 2004. Lee, Ashkan Yazdani, Touradj Ebrahimi, Thierry Pun, Anton Nijholt, [39] Luiz Pessoa, “On the relationship between emotion and cognition,” and Ioannis Patras, “Deap: A database for emotion analysis; using Nature Reviews Neuroscience, vol. 9, no. 2, pp. 148-158, 2008. physiological signals,” Affective Computing, IEEE Transactions on, vol. [40] Carroll E Izard, Deborah Z Libero, Priscilla Putnam, and O Maurice 3, no. 1, pp. 18-31, 2012. Haynes, “Stability of emotion experiences and their relations to traits 

[18] Yoann Baveye, J-N Bettinelli, Emmanuel Dellandrá, Liming Chen, and e of personality.,” Journal of personality and social psychology, vol. 64, Christel Chamaret, “A large video database for computational models no. 5, pp. 847, 1993. of induced emotion,” in Affective Computing and Intelligent Interaction [41] Roel Bosker and Tom Snijders, “Multilevel analysis: An introduction (ACII), 2013 Humaine Association Conference on. IEEE, 2013, pp. 13- to basic and advanced multilevel modeling, 2nd ed,” New York, 2012. 18. [42] Maria Teresa Soto Sanfiel, Laura Aymerich Franch, F Xavier 

[19] Yu-Gang Jiang, Baohan Xu, and Xiangyang Xue, “Predicting emotions Ribes Guardia, and J Reinaldo Martinez Fernandez, “Influence of interin user-generated videos,” in Twenty-Eighth AAAI Conference on activity on emotions and enjoyment during consumption of audiovisual Artificial Intelligence, 2014. fictions,” International Journal of Arts and Technology, vol. 4, no. 1, 

[20] Jussi Tarvainen, Mats Sjoberg, Stina Westman, Jorma Laaksonen, and pp. 111-129, 2011. Pirkko Oittinen, “Content-based prediction of movie style, aesthetics [43] Randy J Larsen and Timothy Ketelaar, “Personality and susceptibility and affect: Data set and baseline experiments,” 2014. to positive and negative emotional states.,” Journal of personality and 

[21] Julien Fleureau, Philippe Guillotel, and Izabela Orlac, “Affective social psychology, vol. 61, no. 1, pp. 132, 1991. benchmarking of movies based on the physiological responses of a real [44] Ed Diener, Shigehiro Oishi, and Richard E Lucas, “Personality, culture, audience,” in Affective Computing and Intelligent Interaction (ACII), and subjective well-being: Emotional and cognitive evaluations of life,” 2013 Humaine Association Conference on. IEEE, 2013, pp. 73-78. Annual review of psychology, vol. 54, no. 1, pp. 403-425, 2003. 

[22] Alexandre Schaefer, Fr´ d´ ric Nils, Xavier Sanchez, and Pierre Philippot, e e “Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers,” Cognition and Emotion, vol. 24, no. 7, pp. 1153-1172, 2010. 

[23] Mojtaba Khomami Abadi, Seyed Mostafa Kia, Ramanathan Subramanian, Paolo Avesani, and Nicu Sebe, “User-centric affective video tagging from meg and peripheral physiological responses,” in Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on. IEEE, 2013, pp. 582-587. 

[24] Julia Wache, “The secret language of our body: Affect and personality recognition using physiological signals,” in Proceedings of the 16th International Conference on Multimodal Interaction. ACM, 2014, pp. 389-393. 

[25] Geert Hofstede, “Dimensionalizing cultures: The hofstede model in context,” Online readings in psychology and culture, vol. 2, no. 1, pp. 8, 2011. 

[26] Shlomo Argamon, Sushant Dhawle, Moshe Koppel, and James Pennebaker, “Lexical predictors of personality type,” 2005. 

[27] Gelareh Mohammadi and Alessandro Vinciarelli, “Humans as feature extractors: combining prosody and personality perception for improved speaking style recognition,” in Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on. IEEE, 2011, pp. 363-366.