Eszter Józsa
ABSTRACT
Taking individual differences into consideration is a foundational issue of Human-Computer Interaction research. The current paper examines the differences that arise during native and foreign language information-seeking tasks. Seventeen Hungarian college students, with significant but non-heritage knowledge of English, participated in the study. We examined the impact of search strategies and personality types on search outcome quality. Our results show interesting variations in searchers' success in their native and foreign languages. In-depth search strategies work better and allow searchers to achieve the same success rate in a foreign language as in their native language. More empathy toward the search task also seems to improve results.
- Aula, A., Kellar, M. 2009. Multilingual search strategies. In Proceedings of the 27th International Conference extended abstracts on Human Factors in computing systems. CHIEA '09. ACM, New York, NY, 3865--3870. DOI=10.1145/1520340.1520585 Google Scholar
Digital Library
- Marlow, J., Clough, P., Cigarran, R. J., Artiles, J. 2008. Exploring the Effects of Language Skills on Multilingual Web Search. In Proceedings of the 30th European Conference on IR Research. Glasgow, UK, April, 2008. 126--137. Google ScholarDigital Library
- Petrelli, D., Hansen, P., Beaulieu, M., Sanderson, M. 2002. User requirements elicitation for Cross-Language Information Retrieval. In The New Review of Information Behaviour Research. 2. 17--35.Google Scholar
- Petrelli, D., Hansen, P., Beaulieu, M, Sanderson, M., Demetriou, G., Herring, P. 2004. Observing users-designing Clarity: A case study on the user-centred design of a cross-language retrieval system. In Journal of the American Society for Information Science and Technology. 55, 10. 923--934 Google ScholarDigital Library
- Hansen, P., Karlgren, J. 2005. Effects of foreign language and task scenario on relevance assessment. In Journal of Documentation 61, 5. 623--639.Google ScholarCross Ref
- Pocius, K. E., 1991. Personality factors in human-computer interaction: A review of the literature. In Computers in Human Behavior. 7. 103--135.Google Scholar
- Goldstein, K. M., Blackman, S. 1978. Cognitive Style. New York: John Wiley & Sons Inc.Google Scholar
- Palmquist, R. A., Kim, K-S. 2000. Cognitive Style and OnLine Database Search Experience as Predictors of Web Search Performance. In Journal of the American Society for Information Science. 51, 6. 558--566. Google ScholarDigital Library
- Ford, N., Wilson, T. D., Foster, A., Ellis, D. 2002. Information-seeking and Mediated Searching. Part 4. Cognitive Styles in Information-seeking. In Journal of the American Society for Information Science and Technology. 53, 9. 728--735. Google ScholarDigital Library
- Ahmad, R., Wang, J., Hercegfi, K. and Komlodi, A. 2011. Different People Different Styles: Impact of Personality Style in Web Sites Credibility Judgement. In Proceedings of the 2011 International Conference on Human-Computer Interaction International Conference (Orlando, FL, USA July 9--14, 2011). DOI=http://dl.acm.org/citation.cfm?id=2027981. Google ScholarDigital Library
- Izsó, L. and Takács, I. 1997. Users' Manual of Myers-Briggs Type Indicator (MBTI) (Myers-Briggs Típus Indikátor Felhasználói Kézikönyve). Manuscript in Hungarian. Department of Ergonomics and Psychology, Budapest University of Technology and Economics.Google Scholar
- McCaulley, M. H., 1993. Does a country or a culture have a type? Gainesville, FL: Center for Applications of Psychological Type. http://www.capt.org/Research/Home.cfmGoogle Scholar
- Ludford, P. J., Terveen, L. G. 2003. Does an individual's Myers-Briggs Type Indicator preference influence task-oriented technology use? Interact 2003 Conference on Human-Computer Interaction (Zurich, Switzerland).Google Scholar
- Hercegfi, K. 2011. Event Related Assessment of Hypermedia Based E-Learning Materials with an HRV-Based Method That Considers Individual Differences in Users. International Journal of Occupational Safety and Ergonomics. 17, 2, (2011) 119--127.Google ScholarCross Ref
- Komlodi, A., Jozsa, E., Koles, M., Hercegfi, K. 2011. Search Quality Differences in Native and Foreign Language Searching. HCIR2011: Workshop on Human-Computer Interaction and Information Retrieval (Mountain View, CA, USA, October 20, 2011).Google Scholar
- Myers, I. B., Myers, P. B., 1980. Gifts differing. Paolo Alto, CA: Consulting Psychologists PressGoogle Scholar
- Lyons, M. L., 1985. The DP Psyche. In Datamation. 31. 103--110. Google ScholarDigital Library
Index Terms
- Evaluation of search quality differences and the impact of personality styles in native and foreign language searching tasks
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