Research Dashboard

Live aggregate data from anonymous quiz responses.

All data is anonymous. No personal information is collected. Results update in real-time as new responses arrive.

About This Research

This dashboard shows aggregate statistics from the OnTilt Self-Check. The quiz measures 6 dimensions of AI tool usage patterns, derived from peer-reviewed research on behavioral addiction mechanisms.

The six dimensions measured are: Loss of Control, Session Escalation, Dark Flow / Immersion, Operational Dependency, Negative Consequences, and Anticipation Shift. Each is scored on a 5-point Likert scale (Never to Always).

Want to contribute? Take the Self-Check — it takes 3 minutes and your responses are completely anonymous.

Full Bibliography

Sources cited across the OnTilt project — methodology, quiz design, and blog content. Peer-reviewed unless marked otherwise.

  1. Lindström, B. et al. (2021). A computational reward learning account of social media engagement. Nature Communications, 12, 1311. PMC7910435
  2. Clark, L. et al. (2009). Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry. Neuron, 61(3), 481–490. PMC2658737
  3. Arkes, H.R. & Blumer, C. (1985). The psychology of sunk cost. Organizational Behavior and Human Decision Processes, 35(1), 124–140. ScienceDirect
  4. Abuhamdeh, S. (2020). Investigating the "flow" experience: Key conceptual and operational issues. Frontiers in Psychology, 11, 158. PMC7033418
  5. Oulasvirta, A. et al. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105–114. Springer
  6. Griffiths, M.D. (2005). A 'components' model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. DOI
  7. WHO. Gaming Disorder FAQ. WHO
  8. American Psychiatric Association. (2022). Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR). APA
  9. Zhao, Y. et al. (2024). Development and validation of the Problematic ChatGPT Use Scale. Current Psychology. Springer
  10. Turkish CFA/IRT validation of PCGUS. International Journal of Mental Health and Addiction (2025). Springer
  11. CAI dependence scale — uncontrollability, withdrawal, mood modification, negative impacts. Frontiers in Psychology. Frontiers
  12. Compulsive ChatGPT use and associations with anxiety, burnout, and sleep. Acta Psychologica. ScienceDirect
  13. "People are not becoming 'AIholic': Questioning the 'ChatGPT addiction' construct" (2025). Addictive Behaviors. ScienceDirect
  14. Clark, L.A. & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319. PDF
  15. Kemper, C.J. et al. (2019). Strategies for reducing respondent burden in scale development. Assessment. PMC8129175
  16. Kuss, D.J. & Griffiths, M.D. (2012). Online gaming addiction in children and adolescents: A review of empirical research. Journal of Behavioral Addictions, 1(1), 3–22.
  17. Ferster, C.B. & Skinner, B.F. (1957). Schedules of Reinforcement. New York: Appleton-Century-Crofts.
  18. Habib, R. & Dixon, M.J. (2010). Neurobehavioral evidence for the 'near-miss' effect in pathological gamblers. Journal of the Experimental Analysis of Behavior, 93(3), 313–328.
  19. Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. Harper & Row.
  20. Schüll, N.D. (2012). Addiction by Design: Machine Gambling in Las Vegas. Princeton University Press.
  21. Kellerman, G.R. & Kropp, M. (2026). "AI Brain Fry" study. Harvard Business Review / Boston Consulting Group. [Industry report]
  22. Uplevel (2024). Developer productivity and AI assistants: Bug rate analysis. [Industry report, not peer-reviewed]