The role of human factors in stereotyping behavior and perception of digital library users: A robust clustering approach

User Modeling and User-Adapted Interaction

Volumn 17, Issue 3, 2007, Pages 305-337

  Frias Martinez, Enrique ^a   Chen, Sherry Y ^a   MacRedie, Robert D ^a   Liu, Xiaohui ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Behavior; Digital libraries; Human factors; Perception; Robust clustering; Stereotypes

Indexed keywords

CLUSTER ANALYSIS; COGNITIVE SYSTEMS; FUZZY CLUSTERING; ROBUST CONTROL; SENSORY PERCEPTION; USER INTERFACES;

HIERARCHICAL CLUSTERING; HUMAN FACTORS; ROBUST CLUSTERING; STEREOTYPES;

DIGITAL LIBRARIES;

EID: 34249320866     PISSN: 09241868     EISSN: 15731391     Source Type: Journal    
DOI: 10.1007/s11257-007-9028-7     Document Type: Article

References (64)

1. Altman, D.G.: Practical Statistics for medical Research. Chapman and Hall, London (1997)
2. Anastasi, A.: Psychological Testing. Macmillan, New York (1988)
3. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
4. Bryan-Kinns, N., Blandford, A., Thimbleby, H.: Interaction modelling for digital libraries. In: Workshop on Evaluation of Information Management Systems (2000)
5. Callan, J., Smeaton, A., Beaulieu. M., Borlund, P., Brusilovsky, P., Chalmers, M., Lynch, C., Riedl, J., Smyth, B., Straccia, U., Toms E.: Personalization and recommender systems in Digital Libraries, Joint NSF-EU DELOS Working Group Report, URL http://www.ercim.org/publication/ws-proceedings/ Delos-NSF/Personalisation.pdf. (2003)
6. Chen, S.Y.: A cognitive model for non-linear learning in hypermedia programmes. Br. J. Educ. Technol. 33, 453-464 (2002)
7. Chen, S.Y., Macredie, R.: Cognitive styles and hypermedia navigation: development of a earning model. J. Am. Soc. Inform. Sci. Technol. 53, 3-15 (2002)
8. Chen, S.Y., Macredie, R.D.: Cognitive modelling of student learning in web-based instructional programmes. Int. J. Human-Comput. Interact. 17, 375-402 (2004)
9. Chin, J.P., Diehl, V.A., Normal, K.L.: Development of an instrument measuring user satisfaction of the human-computer interface. ACM CHI'88 Proceedings, pp. 213-218 (1988)
10. Chiu, S.L.: Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst. 2, 267-278 (1994)
11. Cho, Y.H., Kim, J.K., Kim, S.H. : A personalizedrecommender system based on web usage mining and decision tree. Expert Syst. Appl. 23, 329-342 (2002)
12. Doux, A., Laurent, J., Nadal, J.: Symbolic data analysis with the k-means algorithm for user profiling, user modeling. In: Proceedings of the Sixth International Conference, UM97, pp. 359-361 (1997)
13. Downing, R.E., Moore, J., Brown, S.: The effects and interaction of spatial visualization and domain expertise on information seeking. Comput. Human Behavi. 21, 195-209 (2005)
14. Everitt, B.S.: Cluster Analysis, 3rd ed. Arnold (1993)
15. Ford, N.: Cognitive styles and virtual environments. J. Am. Soc. Inform. Sci. 51, 543-557 (2000)
16. Ford, N., Miller, D.: Gender differences in Internet perception and use. In: Electronic Library and Visual Information Research, Proceedings of the Third ELVIRA Conference, pp. 87-202 (1996)
17. Ford, N., Miller, D., Moss, N.: Web search strategies and human individual differences. Cognitive and demographic factors, internet attitudes and approaches. J. Am. Soc. Inform. Sci. Technol. 56, 741-756 (2005)
18. Frias-Martinez, E., Chen, S., Liu, X.: Automatic cognitive style identification of digital library users for personalization. J. Am. Soc. Inform. Sci. Technol. 58(2), 237-251 (2007)
19. Fu, Y., Sandhu, K., Shih, M.Y.: Clustering of web users based on access patterns. In: Proceedings of the 1999 KDD Workshop on Web Mining, July 2002
20. Goren-Bar, D., Graziola, I., Pianesi, F., Zancanaro, M.: The influence of personality factors on visitor attitudes towards adaptivity dimensions for mobile museum guides. User Model. User-Adapted Interact. 16, 31-62 (2006)
21. Hay, B., Wets, G., Vanhoof, K.: Clustering navigation patterns on a website using a Sequence Alignment Method. In: IJCAI 2001 Workshop on Intelligent Techniques for Web Personalization (2001)
22. Hong, J., Heer, J., Waterson, S., Landay, J.A.: WebQuilt: a Proxy-based Approach to Remote Web Usability Testing. ACM Trans. Inform. Syst. 19, 263-385 (2001)
23. Ivory, M.Y., Megraw, R.: Evolution of web site design patterns. ACM Trans. Inform. Syst. 23, 463-497 (2005)
24. Jain, A., Dubes, R.C.: Data clustering. ACM Comput. Surv. 31, 264-323 (1999)
25. Joshi, A.K., Krishnapuram, R.: On mining Web Access Logs. In: Proceedings of the ACM-SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp. 63-69 (2000)
26. Kobsa, A.: Generic user modeling systems. User Model. User-Adapted Interact. 11, 49-63 (2001)
27. Krishnapuram, R., Joshi, A., Nasraoui, O., Yi, L.: Low-complexity fuzzy relational clustering algorithms for web mining. IEEE Trans. Fuzzy Syst. 9, 595-608 (2001)
28. Lampinen, T., Koivisto, H.: Profiling network applications with fuzzy C-means clustering and self-organising map. In: International Conference on Fuzzy Systems and Knowledge Discovery, November 2002
29. Large, A., Beheshti, J., Rahman, T.: Design criteria for children's web portals: the users speak out. J. Am. Soc. Inform. Sci. Technol. 53, 79-94 (2002)
30. Lazander, A.W., Biemans, H.J., Wopereis, I.G.: Differences between novice and experienced users in searching information on the World Wide Web. J. Am. Soc. Inform. Sci. 51, 76-581 (2000)
31. Lewis, J.R.: IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for user. Int. J. Human-Comput. Interact. 7, 57-78 (1995)
32. Ling, J., Van Schaik, P.: The influence of font type and line length on visual search and information retrieval in web pages. Int. J. Human-Comput. Stud. 64, 395-404 (2006)
33. Liu, H., Tarima, S., Borders, A.S., Getchell, T.V., Getchell, M.L., Stromberg, A.J.: Quadratic regression for gene discovery and pattern recognition for non cyclic short time-course microarray experiments. BMC Bioinform. 6, 106 (2005)
34. Liu, M., Reed, W.M.: The effect of hypermedia assisted instruction on second-language learning through a semantic-network-based approach. J. Educ. Comput. Res. 12, 159-175 (1994)
35. Macqueen, J.B.: Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-297 (1967)
36. Marchionini, G., Plaisant, C., Komlodi, A.: The people in digital libraries: multifaceted approaches to assessing needs and impact. In: Bishop, A., van House, N.A., Buttenfield, B.P. (eds.) Digital Library Use Social Practice in Design and Evaluation, pp. 119-160. MIT Press (2003)
37. Mitchell, T.J.F., Chen, S. Y., Macredie, R.D.: Hypermedia leaning and prior knowledge: domain expertise vs. system expertise. J. Comput. Assist. Learn. 21, 53-64 (2005)
38. Mobasher, B., Dai, H. Luo, T., Nakagawa, M.: Effective personalization based on Association Rule discovery from web usage data. In: 3rd. ACM Workshop on Web Information and Data Management (2001)
39. Nasraoui, O., Frigui, H., Joshi, A., Krishnapuram, R.: Mining Web Access Logs Using Relational Competitive Fuzzy Clustering. In: Eight International Fuzzy Systems Association World Congress - IFSA 99 (1999)
40. Paliouras, G., Karkaletsis, G.V., Papathedorou. C., Spyropoulos, C.: Exploiting learning techniques for the acquisition of user stereotypes and communities. In: Proceedings of the International Conference on User Modelling (UM'99) (1999)
41. Palmquist, R.A., Kim, K.-S.: Cognitive style and on-line database search experience as predictors of Web search performance. J. Am. Soc. Inform. Sci. 51, 558-566 (2000)
42. Park, T.I., Yi, S.G., Lee, S., Lee, S.Y., Yoo, D.H., Ahn, J.I., Lee, Y.S.: Statistical tests for identifying differentially expressed genes in time-course microarray experiments. Bioinformatics 19, 694-703 (2003)
43. Riding, R.J.: Cognitive Styles Analysis. Learning and Training Technology. Birmingham (1991)
44. Riding, R.J., Grimley, M.: Cognitive style, gender, and learning from multimedia materials in 11 year-old children. Br. J. Educ. Technol. 30(1), 43-56 (1999)
45. Riding, R., Rayner, S.G.: Cognitive Styles and Learning Strategies. David Fulton Publisher, London (1998)
46. Roy, M., Chi, M.T.C.: Gender differences in patterns of searching the web. J. Educ. Comput. Res. 29, 335-348 (2003)
47. Sander, J., Ng, R.T., Sleumer, M.C., Yuen, M.S., Jones, S.J.: A methodology for analyzing SAGE libraries for cancer profiling. ACM Trans. Inform. Syst. 23, 35-60 (2005)
48. Savaresi, S.M., Gazzaniga, G., Boley, D.L., Bittani, S.: Cluster selection in divisive clustering algorithms. In: Second SIAM International Conference in Data Mining, Arlington VA. pp. 85-101 (2002)
49. Shapira, B., Shoval, P., Hanani, U.: Stereotypes in information filtering systems. Inform. Process. Manag. 33, 273-287 (1997)
50. Stephen, P., Hornby, S.: Simple Statistics for Library and Information Professionals. Library Association, London (1997)
51. Swift, S., Tucker, A., Vinciotti, V., Marin, N., Orengo, C., Liu, X., Kellam, P.: Consensus clustering and functional interpretation of gene-expression data. Genome Biol. (2004) 5:R94. http://genomebiology.com/2004/ 5/11/R94
52. Torkzadeh, G., Van Dyke, T.P. : Effects of training on Internet self-efficacy and computer user attitudes. Comput. Human Behav. 18, 479-494 (2002)
53. Tarpin-Bernard, F., Habieb-Mammar, H.: Modeling elementary cognitive abilities for adaptive hypermedia presentation. User Model. User-Adapted Interact. 15, 459-495 (2005)
54. Uebersax, J.S.: Diversity of decision-making models and the measurement of interrater agreement. Psycol. Bull. 101, 140-146 (1987)
55. Valiquette, C., Lesage, A., Cyr, M., Toupin, J.: Computing Cohen's kappa coefficients using SPSS MATRIX. Behav. Res. Methods, Instrum. Comput. 26, 60-61 (1994)
56. Venkatesh, V.: Determinants of perceived ease of use: integration control, intrinsic motivation, and emotion into the technology acceptance model. Inform. Syst. Res. 11, 342-365 (2000)
57. Wang, P., Hawk, W.B., Tenopir, C.: User's interaction with world wide web resources: an exploratory study using a holistic approach. Inform. Process. Manag. 36, 229-251 (2000)
58. Webb, A.: Statistical Pattern Recognition. Arnold (1999)
59. Weller, H.G., Repman, J., Rooze, G.E.: The relationship of learning, behavior, and cognitive styles in hypermedia-based instruction: Implications for design of HBI. Comput. Schools, 10, 401-420 (1994)
60. Witkin, H.A., Moore, C.A., Goodenough, D.R., Cox, P.: Field-dependent and field independent cognitive styles and their educational implications. Rev. Educ. Res. 47, 1-64 (1977)
61. Witten, I.H., Frank, E.: Data Mining. Practical Machine Learning Tools and Techniques with JAVA Implementations. Morgan Kaufman Publishers (1999)
62. Wolfinger, R.D., Gibson, G., Wolfinger, E.D., Bennet, L. Hamadeh, H., Buschel, P., Afshari, C., Paules, R.S.: Assesing gene significance from cDNA microarray expression data via mixed models. J. Comput. Biol. 8, 625-637 (2001)
63. Yi, M.Y., Hwang, Y: Predicting the use of web-based information systems, self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. Int. J. Human-Comput. Stud. 59, 431-449 (2003)
64. Zukerman, I., Albrecht, D.W., Nicholson, A.E.: Predicting users request on the WWW. In: Proceedings of the 7th International Conference on User Modeling, UM99, Banff, Canada, pp. 275-284 (1999)