Abstract
When performing an internet search for help content, people use one of several possible methods, but user preferences tend toward basic, text-based search queries using common search engines. However, computing and digital device trends show a preponderance of image and multimedia use among most users. This trend reveals a gap in the information design/technical communication discipline for understanding why users are unaware of alternative search methods, and why information design/technical communication is not investigating ways to develop the alternative image search methodology for help content and systems. Specifically, there is a lack of research on the usability and user preferences of image search for online help content. This research will provide an overview of the reverse image search technology, how we can optimize existing and future content to prepare content for its use, and a discussion about why this technology represents the future of user search experience.
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References
Jing, Y., Liu, D., Kislyuk, D., Zhai, A., Xu, J., Donahue, J., Tavel, S.: Visual search at pinterest. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 1889–1898. ACM, New York (2015)
Yoon, J.: Searching images in daily life. Libr. Inf. Sci. Res. 33, 269–275 (2011)
Westman, S.: Image users’ needs and searching behaviour. In: Chair, A.G., Davies, J. (eds.) Information Retrieval: Searching in the 21st Century, pp. 63–83. Wiley (2009)
Brumberger, E.: Visual communication in the workplace: a survey of practice. Tech. Commun. Q. 16, 369–395 (2007)
Baker, M.: Every Page Is Page One: Topic-Based Writing for Technical Communication and the Web. XML Press, Laguna Hills (2013)
Goker, A., Davies, J.: Information Retrieval: Searching in the 21st Century. Wiley, Hoboken (2009)
Yeh, T., Chang, T.-H., Miller, R.C.: Sikuli: Using GUI screenshots for search and automation. In: Proceedings of the 22nd Annual ACM Symposium on User Interface Software and Technology. pp. 183–192. ACM, New York (2009)
Nielsen, J.: Why You Only Need to Test with 5 Users. http://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/
Usability.gov: Ensure Usable Search Results. http://guidelines.usability.gov/guidelines/186
Nielsen, J.: Search: Visible and Simple. http://www.nngroup.com/articles/search-visible-and-simple/
Spool, J.M.: Are There Users Who Always Search? https://www.uie.com/articles/always_search/
Voorhees, E.M., Over, P., Soboroff, I.: Building better search engines by measuring search quality, pp. 22–30. IT Professional, Los Alamitos (2014)
Tran, T., Mathäß, T., Haase, P.: Usability of keyword-driven schema-agnostic search. In: Aroyo, L., Antoniou, G., Hyvönen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T. (eds.) The Semantic Web: Research and Applications, pp. 349–364. Springer, Berlin Heidelberg (2010)
Choi, Y.: Effects of contextual factors on image searching on the Web. J. Am. Soc. Inf. Sci. Technol. 61, 2011–2028 (2010)
Yeh, T., White, B., San Pedro, J., Katz, B., Davis, L.S.: A case for query by image and text content: searching computer help using screenshots and keywords. In: Proceedings of the 20th International Conference on World Wide Web. pp. 775–784. ACM, New York (2011)
Tullis, T., Albert, W.: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Morgan Kaufmann, Burlington (2008)
Charney, D.: Experimental and quasi-experimental research. In: Research in Technical Communication, p. 266. Greenwood Publishing Group (2002)
MacNealy, M.S.: Strategies for Empirical Research in Writing. Allyn and Bacon, Boston (1999)
Brooke, J.: SUS-a quick and dirty usability scale. Usability Eval. Ind. 189, 4–7 (1996)
Bangor, A., Kortum, P.T., Miller, J.T.: An empirical evaluation of the system usability scale. Int. J. Hum.-Comput. Interact. 24, 574–594 (2008)
Lewis, J.R., Sauro, J.: The factor structure of the system usability scale. In: Kurosu, M. (ed.) Human Centered Design, pp. 94–103. Springer, Berlin Heidelberg (2009)
Measuring satisfaction: Beyond the usability questionnaire, http://www.userfocus.co.uk/articles/satisfaction.html
Nielsen, Jakob: User Satisfaction vs. Performance Metrics, http://www.nngroup.com/articles/satisfaction-vs-performance-metrics/
Sauro, J., Dumas, J.S.: Comparison of three one-question, post-task usability questionnaires. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1599–1608. ACM, New York (2009)
Sauro, J., Lewis, J.R.: Correlations among prototypical usability metrics: evidence for the construct of usability. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1609–1618. ACM, New York (2009)
Sauro, J., Lewis, J.R.: Estimating completion rates from small samples using binomial confidence intervals: comparisons and recommendations. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 49, pp. 2100–2103 (2005)
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O’Neil, F. (2018). Looking Forward to Reverse Image Search: Measuring the Effectiveness of Reverse Image Searches in Online Help. In: Ho, A. (eds) Advances in Communication of Design. AHFE 2017. Advances in Intelligent Systems and Computing, vol 609. Springer, Cham. https://doi.org/10.1007/978-3-319-60477-0_3
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DOI: https://doi.org/10.1007/978-3-319-60477-0_3
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