BROWSE TOPICS

RESOURCES

ABOUT THIS SITE

 

Virtual robot links body to numbers just like humans

Read more: "Squishybots: Soft, bendy and smarter than ever" ONE of the many curious habits of the human brain is that we tend to associate small numbers with the left side of our body and large numbers with our right. The so-called SNARC (spatial-numerical association of response codes) effect is well established: people respond faster to a number (by pressing a button, say) with their left hand when the number is small and with their right hand when the number is large. Similarly, people who have brain damage that causes them to ignore the left side of their body show a bias towards larger numbers when asked to report the middle of a numerical interval. This way of learning sets up links between small numbers and the part of the brain that controls our left side, and vice versa, that persists into adulthood.

Author: Publication Date: Crawl Date: Source: Topic: Contributor: Type: Language: Format:
November 11, 2011 November 13, 2011 NewScientist Applications CognitiveScience Interfaces Robots NewsFinder Text English HTML

Whitelist words:

  1. cognit scienc: 1 occurrence
  2. humanoid: 1 occurrence

Categorization (need >= 0.5 to match):

  1. AIOverview: 0.271325
  2. Agents: 0.00807437
  3. Applications: 0.858301
  4. CognitiveScience: 0.581809
  5. Education: 0.0189473
  6. Ethics: 0.0270833
  7. Games: 0.0296249
  8. History: 0.107164
  9. Interfaces: 0.52364
  10. MachineLearning: 0.21045
  11. NaturalLanguage: 0.00131378
  12. Philosophy: 0.00602544
  13. Reasoning: 0.000654541
  14. Representation: 0.00101527
  15. Robots: 0.559375
  16. ScienceFiction: 0.00853375
  17. Speech: 0.0383309
  18. Systems: 0.0134445
  19. Vision: 0.0531989

Duplicates (threshold=0.17):

  1. (sim=0.935) 4298: Virtual robot links body to numbers just like humans

Transcript:

  1. Preferred over duplicates
  2. Published
Collections:
brokenlinkform:brokenlink
AAAI   Recent Changes   Edit   History   Print   Contact Us
Page last modified on November 14, 2011, at 12:01 AM