MUTLU PROJE: ADAPTİF DUYGUSAL BİR SOSYO-TEKNİK SİSTEM YAKLAŞIMI

Year 2017, Volume: 3 Issue: 2, 32 - 46, 20.12.2017

Esra Kahya Özyirmidokuz Eduard Alexandru Stoıca Kumru Uyar

Abstract

Gartner, Inc.[1]
raporuna göre 2016 yılında internete bağlı nesnelerin sayısı %31 artarak 8.4
milyar olmuş, 2020 yılında ise 20.4 milyar olması beklenmektedir. Böyle önemli
ve etkili bir büyüme, sistemlerin kullanıcıların sosyal paylaşım ağları
üzerindeki geri bildirimine daha duyarlı olması gerektiğini göstermektedir.
Dolayısıyla insansız teknolojiler gelecekteki araştırmalar için daima eksik kalacaktır.
Bu nedenle sosyo teknik sistemler (STSler) günlük yaşantımıza dahil olacaktır.

Bu araştırma
literatürdeki boşluğu doldurmanın yanı sıra, bilim ve teknoloji alanında özgün
bir konudur ve yeni bir madenleme metodolojisi içeren duygusal adaptif sosyo
teknik sistem (STS) yaklaşımını da sunmaktadır. Duygusal adaptif STS, insan
zamanını ve enerjisini minimize etmek için sistemlere otomatik geribildirim vererek
Türkçe çevrimiçi gerçek zamanlı mutluluk ölçmektedir. Farklı organizasyonların ilgisini çekebilecek bu
araştırma, birçok sektörde uygulanabilir.

Keywords

Mutluluk Enformatiği, Sosyo-Teknik Sistemler, Sibernetik Davranış Bilimleri, Dijital Bağımlılık, Mutluluk Pazarlaması, Büyük Veri Analizi, İkna Teknolojisi, Oyunlaştırma

THE HAPPY PROJECT: AN ADAPTIVE EMOTIONAL SOCIO-TECHNICAL SYSTEM APPROACH

Abstract

Gartner Inc.[1]
forecasts that 8.4 billion connected things will
be in use worldwide in 2017, up 31 % from 2016, and this will reach 20.4
billion by 2020. Such an important and
effective growth indicates that systems must be more responsive to users’
feedback on social networks. Unmanned technology will always remain incomplete
for future studies. Therefore, socio-technical systems (STSs) will be
introduced 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 an
original subject in matter of science and technology, and a new mining methodology.
The emotional adaptive STS measures Turkish online happiness in software systems in
order to give automatic feedback to the systems that try to minimize the time
and effort of human beings. A wide variety of
organizations may be interested in this research, which could be applied in
many sectors.

Keywords

Well-being Informatics, Socio-technical Systems, Cybernetics Behaviural Analysis, Digital Addiction, Well-being Marketing, Big Data Analysis, Persuasive Technology, Gamification

References

• Abdel-Khalek & A. M. (2004). Happiness among Kuwaiti College Students. Journal of Happiness Studies, 5(1), 93-97.
• 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.
• 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.
• 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.
• 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.
• Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3 (2), 77-101.
• 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.
• Csikszentmihalyi, M. (2005). Akış: Mutluluk Bilimi, (1. Basım). Ankara: HYB Yayınları.
• DeBurr, D. (2013). Build Gamified Websites with PHP and jQuery (1. Published). Packt Publishing.
• Dhawan, S., Singh, K. & Sehrawat, D. (2014). Emotion Mining Techniques in Social Networking Sites. International Journal of Information & Computation Technology, 4(12), 1145-1153
• Diener, E. & Chan, M. Y. (2011). Happy People Live Longer: Subjective Well-Being Contributes to Health and Longevity.
Applied Psychhology: Health and Well-Being, 3(1),1-43.
• Diener, E., Emmons, R.A., Larsen, R.J. & Griffin, S. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49(1), 71-75.
• Dodds, P.S. & Danforth, C. M. (2010). Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs and Presidents. Journal of Happiness Studies, 11(4), 441-456.
• Fogg, B. J. (2003). Persuasive Technology: Using Computers to Change What We Think and Do (Interactive Technologies), Morgan Kaufmann Publishers.
• Frey, B.S. & Stutzer, A. (2001). Happiness and Economics: How the Economy and Institutions Affect Human Well-being. USA: Princeton University Press.
• Garcia, D. & Sikström, S. (2013). Quantifying the Semantic Representations of Adolescents’ Memories of Positive and Negative Life Events. Journal of Happiness Studies, 14, 1309-23.
• Gruzd, A., Doiron, S.& Mai, P. (2011). Is Happiness Contagious Online? A Case of Twitter and the 2010 Winter Olympics. In: the Proceedings of the 44th Hawaii International Conference on System Sciences (HICSS 2011). 4-7 Jan 2011. (pp. 1-9). Kauai, USA.
• Guest, G., MacQueen, K.M. & Namey, E.E. (2012). Applied Thematic Analysis, SAGE Publications Inc.
• Hills, P. & Argyl, M. (2002). The Oxford Happiness Questionnaire: A Compact Scale for the Measurement of Psychological Well-Being. Personality and Individual Differences, 33, 1073-82.
• Holton, N. (2015). Measuring Happiness: Using the Experience Sampling Method with Mobile Phones to Collect Self-Report Data, In: the Proceedings of Society for Information Technology & Teacher Education International Conference (SITE 2015). 1. 2 March 2015. Las Vegas, NV.
• Jalloh , A., Flack, T., Chen, K. & Fleming, K. (2014). Measuring Happiness: Examining Definitions and Instruments, Illuminare: A Student Journal in Recreation. Parks and Leisure Studies, 12(1) 59-67.
• Kahneman, D., Krueger, A.B., Schkade, D.A., Schwarz, N. et al. (2004). A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method. Science, 306 (5702), 1776-80.
• Kahya Ozyirmidokuz E. (2015). Bir Sosyo-Teknik Sistemde Geribildirim Analizi, In: the Proceedings of 2. Ulusal Yönetim Bilişim Sistemleri Kongresi, 8-10 Ekim 2015, (pp. 243-255). Erzurum, Türkiye.
• Kahya Ozyirmidokuz E. & Stoica E.A. (2016). Emotion Based Analysis of Turkish Customer Opinions, In: the Proceeding of International Economics Conference: The Competitive Economic and Social Environment of the International Market (IECS 2016), 20-21 May 2016. (pp.1-10). Sibiu, Romania.
• Kamvar, S.D. & Harris, J. (2011). We Feel Fine and Searching the Emotional Web, In: the Proceedings of the WSDM’11, February. (pp. 9-12). China.
• Kenny, C., (2015). Pozitif Düşünmenin Ekonomik Gücü. Bloomberg Businessweek Türkiye, 18-24 Ocak, 20-21. Larson, R. & Csikszentmihalyi, M. (2014). The Experience Sampling Method. In: H. T. Reis (Ed.), New Directions for Methodology of Social and Behavioral Sciences (vol. 15, pp. 41–56). San Francisco: Jossey-Bass. Springer. Layard, R. (2007). Happiness and the Teaching of Values, Centrepiece, 12 (1), 18-23.
• Lichtman, M. V. (2013). Qualitative Research in Education: A User's Guide (3rd Edition). SAGE Publications.
• Lyubomirsky, S. (2007). The How of Happines, New York: The Penguin Press.
• Lyubomirsky, S. & Lepper, H.S. (1999). A Measure of Subjective Happiness: Preliminary Relia-Bility and Construct Validation. Social Indicators Research, 46, 137-155.
• McAfee, A. & Brynjolfsson, E. (2012). Büyük Veri: Yönetim Devrimi. Harvard Business Review Türkiye, Ekim, 70-77. Mihalcea, R. & Liu, H. (2006) A Corpus-based Approach to Finding Happiness. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, March 2006, 139-144.
• Mogilner, C., Kamvar, S.D. & Aaker, J. (2011). The Shifting Meaning of Happiness. Social Psychological and Personality Science, 1-8.
• Mostafa, M.M. (2013). More than words: Social networks’ text mining for customer brand sentiments. Expert Systems with Applications, 40, 4241-4251.
• Namey, E. , Guest, G., Thairu, L. & Johnson, L. (2007). Data Reduction Techniques for Large Qualitative Data Sets, Handbook for Team-Based Qualitative Research, UK: AltaMira Pre.
• Neugarten, B. L., Havinghurst, R.J. & Tobin, S.S. (1961). The Measurement of Life Satisfaction. Journal of Gerontology, 16, 134-143.
• Polat, I.H. (2014). İnsanlık Veriden Bilgiye İlerlerken, Bloomberg Businessweek Türkiye, 2-8 Şubat, 41. Sanders, M.S. & McCormick, E.J. (1993). Human Factors In Engineering and Design. McGraw-Hill Science.
• Stoica, E.A., Pitic, A., Mihaescu, L. (2013). A Novel Model for E-Business and E-Government Processes on Social Media, In: Procedia Economics and Finance, 6, International Economic Conference: Post Crisis Economy: Challenges and Opportunities (IECS 2013), (pp. 760-769). Sibiu, Romania.
• Stoica, E.A., Pitic, A.G, Calin B. (2014). New Media E-marketing Campaign. Case Study for a Romanian Press Trust. In: Procedia Economics and Finance, 16, International Economic Conference (IECS 2014). (pp. 635-640). Sibiu, Romania. Surowiecki, J. (2005). The Wisdom of Crowds. NY: Anchor Books.
• Thelwall, M., Buckley, K. & Paltoglou, G. (2011) Sentiment in Twitter Events. Journal of the Americal Society for Information Science and Technology, 62(2), p. 406-418.
• Ura, K., Alkire, S., Zangmo, T. & Wangdi, K. (2012, February 2016). A Short Guide to Gross National Happiness Index, The Centre for Bhutan Studies, Retrieved from http://www.ophi.org.uk/wp-content/uploads/Ura-et-al-BhutanHappiness-Chapter.pdf?cda6c1
• Veenhoven, R. (1984). Conditions of Happiness. Netherlands: Kluwer (Springer).
• Veenhoven, R. (2012)a. World Database of Happiness: Continuous Register of Scientific Research on Subjective Appreciation of Life. Challenges for Quality of Life. In: the Contemporary World Volume 24 of the series Social Indicators Research Series. The Netherlands.
• Veenhoven, R. (2012)b. Bibliography of Happiness (Section F ‘Happiness and Society’), In: World Database of Happiness, The Netherlands: Erasmus University Rotterdam.
• Wang, N., Kosinski, M., Stillwell, D.J. & Rust, J. (2014). Can Well-Being be Measured Using Facebook Status Updates? Validation of Facebook’s Gross National Happiness Index, Social Indicators Research,115, 483-491.
• Whitworth,B. & Ahmad, A. (2014, September 2017). Socio-Technical System Design, In: The Encyclopedia of Human-Computer Interaction, 2nd Ed., Interaction Design Foundation, Retrieved from https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/socio-technical-system-design.
• You, S., DesArmo, J. & Joo, S. (2013). Measuring Happiness of US Cities by Mining User Generated Text in Flickr.com: A Pilot Analysis. In: the Proceedings of the American Society for Information Science and Technology, 50 (1), 1-4.
• Yuan, J., You, Q. & Luo, J. (2015). Sentiment Analysis Using Social Multimedia, In A. Baughman, J. Gao, J.-Y. Pan & V.A. Petrushin (Eds.), Multimedia Data Mining and Analytics Disruptive Innovation (pp. 209-224). Switzerland: Springer.