USER STUDY OF THE ASSIGNMENT OF OBJECTIVE AND SUBJECTIVE TYPE TAGS TO IMAGES IN INTERNET - Evaluation for Native and non Native English Language Taggers

David Nettleton, Mari-Carmen Marcos, Bartolomé Mesa-Lao

2009

Abstract

Image tagging in Internet is becoming a crucial aspect in the search activity of many users all over the world, as online content evolves from being mainly text based, to being multi-media based (text, images, sound, …). In this paper we present a study carried out for native and non native English language taggers, with the objective of providing user support depending on the detected language skills and characteristics of the user. In order to do this, we analyze the differences between how users tag objectively (using what we call ‘see’ type tags) and subjectively (by what we call ‘evoke’ type tags). We study the data using bivariate correlation, visual inspection and rule induction. We find that the objective/subjective factors are discriminative for native/non native users and can be used to create a data model. This information can be utilized to help and support the user during the tagging process.

References

  1. Anderson, A., Raghunathan. K., Vogel, A., 2008. TagEz: Flickr Tag Recommendation. Association for the Advancement of Artificial Intelligence (www.aaai.org).
  2. Boehner, K., DePaula R., Dourish, P., Sengers, P., 2007. How emotion is made and measured. International Journal of Human-Computer Studies. 65:4, 275-291.
  3. Garg, N., Weber, I., 2008. Personalized, interactive tag recommendation for flickr. Proceedings of the 2008 ACM conference on Recommender Systems, Lausanne, Switzerland. pp. 67-74, ISBN:978-1-60558- 093-7.
  4. Im4Data, 2002. Using the Intelligent Miner for Data V8 Rel. 1. IBM Redbooks, SH12-6394-00.
  5. Isbister, K., Hook, K., 2007. Evaluating affective interactions. International Journal of HumanComputer Studies, 65:4, 273-274.
  6. Lipczak, M., Angelova, R., Milios, E., 2008. Tag Recommendation for Folksonomies Oriented towards Individual Users. ECML PKDD Discovery Challenge 2008, Proceedings of WWW 2008.
  7. Sigurbjörnsson, B., van Zwol, R., 2008. Flickr Tag Recommendation based on Collective Knowledge. WWW 2008, Beijing, China, ACM 978-1-60558-085- 2/08/04.
  8. Song, Y., 2008. Real-time Automatic Tag Recommendation. SIGIR'08, July 20-24, 2008, Singapore. ACM 978-1-60558-164-4
  9. Sood, S.C., Hammond, K., Owsley, S.H., Birnbaum, L., 2007. TagAssist: Automatic Tag Suggestion for Blog Posts. International Conf. on Weblogs and Social Media (ICWSM), 2007, Boulder, Colorado, USA.
Download


Paper Citation


in Harvard Style

Nettleton D., Marcos M. and Mesa-Lao B. (2009). USER STUDY OF THE ASSIGNMENT OF OBJECTIVE AND SUBJECTIVE TYPE TAGS TO IMAGES IN INTERNET - Evaluation for Native and non Native English Language Taggers . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 99-104. DOI: 10.5220/0002273900990104


in Bibtex Style

@conference{kdir09,
author={David Nettleton and Mari-Carmen Marcos and Bartolomé Mesa-Lao},
title={USER STUDY OF THE ASSIGNMENT OF OBJECTIVE AND SUBJECTIVE TYPE TAGS TO IMAGES IN INTERNET - Evaluation for Native and non Native English Language Taggers},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002273900990104},
isbn={978-989-674-011-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - USER STUDY OF THE ASSIGNMENT OF OBJECTIVE AND SUBJECTIVE TYPE TAGS TO IMAGES IN INTERNET - Evaluation for Native and non Native English Language Taggers
SN - 978-989-674-011-5
AU - Nettleton D.
AU - Marcos M.
AU - Mesa-Lao B.
PY - 2009
SP - 99
EP - 104
DO - 10.5220/0002273900990104