Revealing the Supremacy of Social Influence
People, communities, societies, businesses, industries, basically everyone needs help with transformations. Many people want to achieve sustainable changes, but we also know how often our new year’s resolutions end in February. Majority of the current global challenges are driven by unsuitable human attitude and behavior. Why? Because, people tend to perceive changes as something difficult, impossible, and mystical, thus are willing to avoid them. Such attitude naturally leads to poorer decisions and consequent behavioral outcomes. This talk will help to demystify transformation and introduces Transforming Wellbeing Theory (TWT) that contains 8 applicable instruments for immediate use. The talk will reveal how TWT is emerging as an inevitable response to the ever-growing imbalance in our lives across the globe. Every crucial domain of our lives continuously provides evidence of how things are getting imbalanced despite us making huge progress in building increasingly capable technological innovations, such as artificial intelligence, blockchain, augmented reality, autonomous vehicles, and drones, just to name a few. The TWT provides scientific insights and practical applications to transform societies at global scale. Due to its strong fundament that intertwines technological innovations with human nature, this work is applicable in many essential life contexts, including health, education, sustainability, equality, governance, safety, emergency, management, marketing, ecology, economy, and dwelling.
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Revealing the Supremacy of Social Influence
- 2. https://scottbreslin.org/2016/08/transformation-vs-change/ DIET 1 DIET 2 DIET 3 175 lbs 190 lbs 180 lbs 200 lbs 185 lbs ???
- 3. 0.99365 = 0.03 1.01365 = 37.78
- 4. AC ACCEPTANCE KN KNOWLEDGE US USE IN INTENTION AGE AGE GEN GEN ONL ONL TV TV HAP FULF MIND MIND MIND MIND DIST DIST DIST STRFEA FEA FEA FEA
- 6. TODAY ONLY %
- 7. TRANSACTION TRANSITION TRANSFORMATION DOT DURATION DIRECTION 1 PERIOD ENDLESS
- 9. 2019 Empowering Sustainable Change: Emergence of Transforming Wellbeing Theory Agnis Stibe1 , Kathrin Röderer2 , Michaela Reisinger2 , and Tobias Nyström3 1 ESLSCA Business School Paris, France agnis@transforms.me 2 Austrian Institute of Technology, Austria {kathrin.roederer, michaela.reisinger}@ait.ac.at 3 Uppsala University, Sweden tobias.nystrom@im.uu.se Abstract. Majority of global problems and business challenges are byproducts
- 10. SELF- CONTAINED SELF- DRIVEN JANUARY 1st MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN TRIANGLE CURVE METRIC CIRCLES ARCHITECTURE SOCIUM MODERATION ETHICS CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK 1 2 3 4 5 6 7 8 TRANSFORMING CHANGE CARE SOCIOTECH DESIGN INTELLIGENCE CLASSIFY UNDERSTAND ANALYTICS DATA READ FEEL SENSORS
- 11. TRIANGLE 1
- 14. CURVE 2
- 17. METRIC 3
- 18. PEOPLE METRIC BEHAVIOR TODAY TRANSFORMATION FUTURE 3
- 20. CIRCLES 4
- 23. ARCHITECTURE 5
- 24. TRANSFORMING CHANGE CARE SOCIOTECH DESIGN INTELLIGENCE CLASSIFY UNDERSTAND AI / BIG DATA DATA READ FEEL SENSORS 5
- 26. Persuasive Cities for Sustainable Wellbeing: Quantified Communities Agnis Stibe(&) and Kent Larson MIT Media Lab, Cambridge, USA {agnis,kll}@mit.edu Abstract. Can you imagine a city that feels, understands, and cares about your wellbeing? Future cities will reshape human behavior in countless ways. New strategies and models are required for future urban spaces to properly respond to2016
- 27. SOCIUM 6
- 30. CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION SN NORMS SF FACILITATION RE RECOGNITION SOCIAL INFLUENCE Downward Upward Injunctive Descriptive Goal Gain Goal Together Participants Onlookers INVOLVEMENT PARTICIPATION ENGAGEMENT 6
- 32. Towards a Framework for Socially Influencing Systems: Meta-analysis of Four PLS-SEM Based Studies Agnis Stibe( ) MIT Media Lab, Cambridge, MA, USA agnis@mit.edu Abstract. People continuously experience various types of engagement through social media, mobile interaction, location-based applications, and other tech- nologically advanced environments. Often, integral parts of such socio- 2015
- 34. 2019 Unfolding Social Influence in Interactive Persuasive Technology: Scale Development and Research Model Abstract. Contrary to the popular perspective held by many scholars and de- signers, social influence encompasses a much broader and deeper area of be- havioral science than the commonly used principles of social norms, peer pres- sure, or social proof. To help scholars develop a deeper understanding of social influence, this study presents a measurement instrument for evaluating suscep- tibility to seven social influence principles. The tool was developed over three iterative rounds of instrument design, and validated through an online survey
- 35. MODERATION 7
- 36. 1274 03
- 38. Advancing Typology of Computer-Supported Influence: Moderation Effects in Socially Influencing Systems Agnis Stibe( ) MIT Media Lab, Cambridge, MA, USA agnis@mit.edu Abstract. Persuasive technologies are commonly engineered to change beha- vior and attitudes of users through persuasion and social influence without us- ing coercion and deception. While earlier research has been extensively focused 2015
- 39. ETHICS 8
- 42. Persuasive Backfiring: When Behavior Change Interventions Trigger Unintended Negative Outcomes Agnis Stibe1(&) and Brian Cugelman2,3 1 MIT Media Lab, Cambridge, MA, USA agnis@mit.edu 2 Statistical Cybermetrics Research Group, University of Wolverhampton, Wolverhampton, UK brian@alterspark.com 3 AlterSpark, Toronto, ON, Canada 2016
- 43. MIT
- 46. SOURCE: ONLINE
- 47. SOURCE: HIGI
- 49. SELF- CONTAINED SELF- DRIVEN JANUARY 1st MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN TRIANGLE CURVE METRIC CIRCLES ARCHITECTURE SOCIUM MODERATION ETHICS CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK 1 2 3 4 5 6 7 8 TRANSFORMING CHANGE CARE SOCIOTECH DESIGN INTELLIGENCE CLASSIFY UNDERSTAND ANALYTICS DATA READ FEEL SENSORS