Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Rosetti Sciutto, Marcos Francisco (2011)
Languages: English
Types: Doctoral thesis
Subjects: QZ, BF0608, BF0309
The following work presents an exploration of human search behaviour both from biological\ud and computational perspectives. Search behaviour is defined as the movements\ud made by an organism while attempting to find a resource. This work describes some of\ud the principal procedures used to record movement, methods for analysing the data and\ud possible ways of interpreting the data. In order to obtain a database of searching behaviour,\ud an experimental setup was built and tested to generate the search paths of human\ud participants. The test arena occupied part of a football field and the targets consisted of\ud an array of 20 golf balls. In the first set of experiments, a random and regular distribution\ud of targets were tested. For each distribution, three distinct conspicuity levels were\ud constructed: a cryptic level, in which targets were painted the same colour as the grass,\ud a semi-conspicuous level in which targets were left white and a conspicuous condition in\ud which the position of each target was marked by a red flag, protruding one metre from the\ud ground. The subjects tested were 9-11 year old children and their search paths were collected using a GPS device. Subjects did not recognise the spatial cues regarding the way targets were spatially distributed. A minimal decision model, the bouncing search model, was built based on the characteristics of the childrens search paths. The model produced an outstanding fit of the children’s behavioural data. In the second set of experiments, a new group of children were tested for two new distributions obtained by arranging the targets in patches. Again, children appeared unable to recognise spatial information during the collection processes. The children’s behaviour once again produced a good match with that of the bouncing search model. This work introduces several new methodological aspects to be explored to further understand the decision processes involved when humans search. Also, it illustrates that integrating biology and computational science can result in innovative research.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] W.J. Bell, Searching Behavior: The Behavioral Ecology of Finding Resources, Chapman and Hall, New York, 1991. [2] G.H. Pyke, H.R. Pulliam, E.L. Charnov, Q. Rev. Biol. 53 (1977) 137.
    • [3] G.M. Viswanathan, E.P. Raposo, M.G.E. da Luz, Phys. Life Rev. 5 (2008) 133.
    • [4] E.P. Raposo, S.V. Buldyrev, M.G.E. da Luz, G.M. Viswanathan, H.E. Stanley, J. Phys. A 42 (2009) 434003. [5] G.H. Pyke, Annu. Rev. Ecol. Evol. Syst. 15 (1984) 523.
    • [6] S. Kaplan, in: J.H. Barkow, L. Cosmides, J. Tooby (Eds.), The Adapted Mind, Oxford University Press, New York, 1992 (Chapter 6). [7] D. Brockman, L. Hufnagel, T. Geisel, Nature 439 (2006) 462.
    • [8] M.C. González, C.A. Hidalgo, A.L. Barabási, Nature 453 (2008) 779.
    • [9] R. Wehner, M.V. Srinivasan, J. Comp. Physiol. A. Neuroethol. Sens. Neural. Behav. Physiol. 142 (1981) 315. [10] G.M. Viswanathan, S.V. Buldryrev, S. Havlin, M.G.E. Da Luz, E.P. Raposo, H.E. Stanley, Nature 401 (1999) 911. [11] P.A. Zollner, S.L. Lima, Anim. Behav. 58 (1999) 489.
    • [12] F. Bartumeus, M.G.E. da Luz, G.M. Viswanathan, J. Catalan, Ecology 86 (2005) 3078. [13] D. Fortin, Behav. Ecol. Sociobiol. 54 (2003) 194.
    • [14] A. Mårell, J.P. Ball, A. Hofgaard, Can. J. Zool. 80 (2002) 854.
    • [15] H.J. de Knegt, G.M. Hengeveld, F. van Langevelde, W.F. de Boer, K.P. Kirkman, Behav. Ecol. 18 (2007) 1065. [16] D.G. Haskell, Behav. Ecol. 8 (1997) 448.
    • [17] F. Bartumeus, F. Peters, S. Pueyo, C. Marrasé, J. Catalan, Proc. Natl. Acad. Sci. 100 (2003) 12771. [18] D. Thompson, M.A. Fedak, Anim. Behav. 61 (2001) 287.
    • [19] J.E. Gross, C. Zank, N.T. Hobbs, D.E. Spalinger, Landsc. Ecol. 10 (1995) 209.
    • [20] N.E. McIntyre, J.A. Wiens, Landsc. Ecol. 14 (1999) 437.
    • [21] V.D. Bohbot, R. Jech, E. R·zicka, L. Nadel, M. Kalina, K. Stepánková, J. Bure², Physiol. Res. 51 (2001) 49. [22] I.D. Gilchrist, A. North, B. Hood, Perception 30 (2001) 1459.
    • [23] P. Terrier, Y. Schutlz, J. Neuroeng. Rehabil. 2 (2005) 28.
    • [24] N. Shoval, M. Isaacson, Prof. Geogr. 58 (2006) 172.
    • [25] L. Pacheco-Cobos, M.F. Rosetti, C. Cuatianquiz, R. Hudson, Evol. Hum. Behav. 31 (2010) 289. [26] P.K. Smith (Ed.), Play in Animals and Humans, Blackwell, Oxford, 1984.
    • [27] P.K. Smith (Ed.), Children's Play: Research Developments and Practical Applications, Gordon and Breach Science Publishers Inc., Kent, 1986. [28] M.C. Linn, A.C. Petersen, Child. Dev. 56 (1985) 1479.
    • [29] D. Tougaw, Comput. Sci. Eng. 4 (2002) 10.
    • [30] S. Kirkpatrick, C.D. Gelatt Jr., M.P. Vecchi, Science 220 (1983) 671. [31] P.J.M. Laarhoven, E.H.L. Aarts, Simulated Annealing: Theory and Applications, Kluwer Academic, Dordrecht, 1987. [32] P. Turchin, Ecology 72 (1991) 1253.
    • [33] P. Turchin, Quantitative Analysis of Movement, Sinauer Associates, Massachusetts, 1998. [34] W.J. Conover, Practical Nonparametric Statistics, Wiley, New York, 1980. [35] G. McPherson, Applying and Interpreting Statistics, Springer-Verlag, New York, 2001. [36] Y. Hochberg, A.C. Tamhane, Multiple Comparison Procedures, Wiley, New York, 1987. [37] G. Gigerenzer, P.M. Todd, Simple Heuristics that Make Us Smart, Oxford University Press, New York, 1999.
  • No related research data.
  • No similar publications.

Share - Bookmark

Download from

Cite this article