TY - JOUR TT - THE HAPPY PROJECT: AN ADAPTIVE EMOTIONAL SOCIO-TECHNICAL SYSTEM APPROACH AU - Kahya Özyirmidokuz, Esra AU - Stoıca, Eduard Alexandru AU - Uyar, Kumru PY - 2017 DA - December JF - Yönetim Bilişim Sistemleri Dergisi PB - Dokuz Eylül Üniversitesi WT - DergiPark SN - 2630-550X SP - 32 EP - 46 VL - 3 IS - 2 KW - Mutluluk Enformatiği KW - Sosyo-Teknik Sistemler KW - Sibernetik Davranış Bilimleri KW - Dijital Bağımlılık KW - Mutluluk Pazarlaması KW - Büyük Veri Analizi KW - İkna Teknolojisi KW - Oyunlaştırma N2 - Gartner Inc.[1]forecasts that 8.4 billion connected things willbe in use worldwide in 2017, up 31 % from 2016, and this will reach 20.4billion by 2020. Such an important andeffective growth indicates that systems must be more responsive to users’feedback on social networks. Unmanned technology will always remain incompletefor future studies. Therefore, socio-technical systems (STSs) will beintroduced into our daily lives.As well as filling the gap in the literature,this paper gives a brief description of an emotional adaptive STS, which is anoriginal subject in matter of science and technology, and a new mining methodology.The emotional adaptive STS measures Turkish online happiness in software systems inorder to give automatic feedback to the systems that try to minimize the timeand effort of human beings. A wide variety oforganizations may be interested in this research, which could be applied inmany sectors. CR - Abdel-Khalek & A. M. (2004). Happiness among Kuwaiti College Students. Journal of Happiness Studies, 5(1), 93-97. CR - Ali, R., Solis, C., Omoronyia, I., Salehie, M. et al. (2012). Social Adaptation: When Software Gives Users a Voice, In: 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012). June 29-30 (pp. 75-84). Best Paper Award. Wroclaw, Poland. CR - Almaliki, M. & Ali, R. (2007). Persuasive and Culture-aware Feedback Acquisition. In: Lecture Notes in Computer Science, 9638, 11th International Conference on Persuasive Technology. Persuasive 2016 (PT-16). April 5-7 (pp.27-38). Salzburg, Austria. CR - Alrobai, A., McAlaney, J., Dogan, H., Phalp, K. & Raian Ali. (2016). Exploring the Requirements and Design of Persuasive Intervention Technology to Combat Digital Addiction. In: Lecutre Notes in Computer Science, 9856, 6th International Working Conference on Human-Centred Software Engineering (HCSE’16). August 29th-31th, 2016. (pp. 130-150). Stockholm, Sweden. CR - Bradley, M.M. & Lang, P.J. (1999). Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings. Technical Report C-1. The Center for Research in Psychophysiology, University of Florida. CR - Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3 (2), 77-101. CR - Brew, A., Greene, D., Archambault, D. & Cunningham, P. (2011) Deriving Insights from National Happiness Indices, In: the Proceedings of 11th International Conference on Data Mining Workshops (ICDMW), 2011 December (pp.53-60). IEEE. Canada. CR - Csikszentmihalyi, M. (2005). Akış: Mutluluk Bilimi, (1. Basım). Ankara: HYB Yayınları. CR - DeBurr, D. (2013). Build Gamified Websites with PHP and jQuery (1. Published). Packt Publishing. CR - Dhawan, S., Singh, K. & Sehrawat, D. (2014). Emotion Mining Techniques in Social Networking Sites. International Journal of Information & Computation Technology, 4(12), 1145-1153 CR - Diener, E. & Chan, M. Y. (2011). Happy People Live Longer: Subjective Well-Being Contributes to Health and Longevity.
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