Idea
Bot detection tool leveraging human motion perception to secure surveys and online processes from automated responses.
Research Paper
Core Innovation
This paper introduces DOT-BI, which uses dynamic optical illusions based on motion and scale differences to reveal hidden numbers perceptible only to humans. Unlike prior static CAPTCHAs or algorithm-detectable tests, DOT-BI exploits human visual perception, making it resistant to advanced AI and bot algorithms.
Why It Matters
Automated bots increasingly compromise survey data quality and online interactions, causing inaccurate insights and security risks. DOT-BI offers a fast, user-friendly verification that humans can easily pass but bots cannot, improving data integrity and reducing fraud. Its simplicity and scalability make it suitable for widespread adoption across digital platforms.
Market Size (TAM)
$2–10B TAM for bot detection and online verification; $500M–$1B SAM from survey platforms, online services, and identity verification providers. Driven by rising bot attacks and demand for seamless user verification.
Potential Customers & Pain Points
- Survey platforms – Bot contamination reducing data quality
- Online service providers – Automated fraud and abuse
- Market research firms – Ensuring respondent authenticity
- Digital identity verification services – Enhancing bot detection accuracy
Business Model
Licensing API access to survey platforms, online services, and identity verification providers; offering customizable test generation and analytics dashboards.
Competitive Landscape
- reCAPTCHA
- hCaptcha
- Arkose Labs
- BotDetect
Implementation Challenges
- Potential adaptation by advanced AI models over time
- User accessibility concerns for visually impaired individuals
- Integration complexity with diverse survey and online platforms
Validation Strategy
- Expand large-scale online testing across diverse demographics and platforms
- Conduct longitudinal studies to monitor bot adaptation and test robustness
- Partner with survey and online service providers for real-world deployment and feedback
Research Paper Overview
Dynamic Optical Test for Bot Identification (DOT-BI): A simple check to identify bots in surveys and online processes
Summary
DOT-BI is a quick, easy method using human motion perception to distinguish humans from bots in surveys and online tasks. It displays a hidden number with matching background texture, visible only through motion differences, which bots and advanced AI models fail to detect. Tested with high human success and no usability impact, it offers a scalable bot detection solution.