FluTCHA: Using fluency to distinguish humans from computers
Improvements in image understanding technologies aremaking it possible for computers to pass traditionalCAPTCHA tests with high probability. This suggests theneed for new kinds of tasks that are easy to accomplishfor humans but remain difficult for computers. In thispaper, we introduce Fluency CAPTC...
Saved in:
Main Authors: | Kotaro HARA, HAJIAGHAYI, Mohammad Taghi, BENDERSON, Benjamin B. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2015
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4012 https://ink.library.smu.edu.sg/context/sis_research/article/5014/viewcontent/flutcha_draft_2.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Conversational localization: Indoor human localization through intelligent conversation
by: SMITHA, Sheshadri, et al.
Published: (2024) -
Automatic assessment of oral reading fluency from children's read speech in the Filipino language
by: Dimzon, Francis
Published: (2023) -
Combining crowdsourcing and Google street view to identify street-level accessibility problems
by: Kotaro HARA,, et al.
Published: (2013) -
Effect of machine translation in interlingual conversation: Lessons from a formative study
by: Kotaro HARA,, et al.
Published: (2015) -
The crowd work accessibility problem
by: SWAMINATHAN, Saiganesh, et al.
Published: (2017)