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Improving performance, perceived usability, and aesthetics with culturally adaptive user interfaces

Published:01 July 2011Publication History
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Abstract

When we investigate the usability and aesthetics of user interfaces, we rarely take into account that what users perceive as beautiful and usable strongly depends on their cultural background. In this paper, we argue that it is not feasible to design one interface that appeals to all users of an increasingly global audience. Instead, we propose to design culturally adaptive systems, which automatically generate personalized interfaces that correspond to cultural preferences. In an evaluation of one such system, we demonstrate that a majority of international participants preferred their personalized versions over a nonadapted interface of the same Website. Results show that users were 22% faster using the culturally adapted interface, needed fewer clicks, and made fewer errors, in line with subjective results demonstrating that they found the adapted version significantly easier to use. Our findings show that interfaces that adapt to cultural preferences can immensely increase the user experience.

References

  1. Ackerman, S. 2002. Mapping user interface design to culture dimensions. In Proceedings of the International Workshop on Internationalization of Products and Systems (IWIPS'02).Google ScholarGoogle Scholar
  2. Badre, A. 2000. The effects of cross cultural interface design orientation on World Wide Web user performance. GVU Tech. rep.Google ScholarGoogle Scholar
  3. Barber, W. and Badre, A. 1998. Culturability: The merging of culture and usability. In Proceedings of the Conference on Human Factors and the Web.Google ScholarGoogle Scholar
  4. Baumgartner, V.-J. 2003. A practical set of cultural dimensions for global user-interface analysis and design. M.S. thesis, Fachhochschule Joanneum, Austria.Google ScholarGoogle Scholar
  5. Ben-Bassat, T., Meyer, J., and Tractinsky, N. 2006. Economic and subjective measures of the perceived value of aesthetics and usability. ACM Trans. Comput.-Hum. Interact. 13, 2, 210--234. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Benjamini, Y. and Hochberg, Y. 1995. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. Royal Stat. Soc. Series B Method. 57, 1.Google ScholarGoogle Scholar
  7. Benyon, D. 1993. Adaptive systems: A Solution to usability problems. User Model. User-Adapt. Interact. 3, 65--87.Google ScholarGoogle ScholarCross RefCross Ref
  8. Bloch, P. 1995. Seeking the ideal form: product design and consumer response. J. Market. 59, 3, 16--29.Google ScholarGoogle ScholarCross RefCross Ref
  9. Bourges-Waldegg, P. and Scrivener, A. 1998. Meaning: the central issue in cross-cultural HCI design.Interact. Comput. 9, 3, 287--309.Google ScholarGoogle ScholarCross RefCross Ref
  10. Burgmann, 1., Kitchen, P., and Williams, R. 2006. Does culture matter on the Web? Market. Intel. Plan. 24, 1,62--73.Google ScholarGoogle ScholarCross RefCross Ref
  11. Callahan, E. 2005. Cultural similarities and differences in the design of university Websites.J. Comput.-Mediat. Comm. 11, 1.Google ScholarGoogle Scholar
  12. Cha, H., Oshlyansky, L., and Cairns, P. 2005. Mobile phone preferences and values: The U.K. vs. Korea. InProceedings of the International Workshop on Internationalization of Products and Systems (IWIPS).Google ScholarGoogle Scholar
  13. Choi, B., Lee, I., Kim, J., and Jeon, Y. 2005. A qualitative cross-national study of cultural influences on mobile data service design. In Proceedings of the Conference on Human Factors in Computing Systems (CHI'05). 661--670. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Corbitt, B., Thanasankit, T., and Haynes, J. 2002. A model for culturally informed web interfaces. In Internet Management Issues: A Global Perspective, IGI Global, 1--26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Cronbach, L. 1951. Coefficient alpha and the internal structure of tests. Psychometrika 16, 297--334.Google ScholarGoogle ScholarCross RefCross Ref
  16. Dolog, P. and Nejdl, W. 2003. Personalisation in Elena: How to cope with personalisation in distributed eLearning networks. In Proceedings of the International Conference on Worldwide Coherent Workforce, Satisfied Users—New Services For Scientific Information.Google ScholarGoogle Scholar
  17. Dormann, C. and Chisalita, C. 2002. Cultural values in Web site design. In Proceedings of the European Conference on Cognitive Ergonomics.Google ScholarGoogle Scholar
  18. Findlater, L. and McGrenere, J. 2008. Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI'08). 1247--1256. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Findlater, L., Moffatt, K., McGrenere, J., and Dawson, J. 2009. Ephemeral adaptation: The use of gradual onset to improve menu selection performance. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI'09). 1655--1664. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Ford, G. and Gelderblom, H. 2003. The effects of culture on performance achieved through the use of human computer interaction. In Proceedings of the Conference on Enablement Through Technology. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Gajos, K., Wobbrock, J., and Weld, D. S. 2008. Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI'08). Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Gould, E., Zakaria, N., and Yusof, S. 2000. Applying culture to Website design: A comparison of Malaysian and U.S. Websites. In Proceedings of theJoint IEEE International and 18th Annual Conference on Computer Documentation. 161--171. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Greenberg, S. and Witten, I. 1985. Adaptive personalized interfaces: A question of viability. Behav. Inform. Techn. 4, 31--45.Google ScholarGoogle ScholarCross RefCross Ref
  24. Gupta, A. and Ferguson, J. 1997. Anthropological Locations: Boundaries and Grounds of a Field Science. University of California Press, Berkeley, CA.Google ScholarGoogle Scholar
  25. Hassenzahl, M. 2004. The interplay of beauty, goodness, and usability in interactive products. Hum.-Comput. Interact. 19, 4, 319--349. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Hassenzahl, M., Burmester, M., and Koller, F. 2003. AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualitat. In Mensch & Computer 2003: Interaktion in Bewegung, 187--196.Google ScholarGoogle Scholar
  27. Hassenzahl, M., Platz, A., Burmester, M., and Lehner, K. 2000. Hedonic and Ergonomic Quality Aspects Determine a Software's Appeal. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI'00). 201--208. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Heimgärtner, R. 2005. Towards cross-cultural adaptive human-machine-interaction in automotive navigation systems. In Proceedings of the 7th International Workshop on Internationalisation of Products and Systems. 97--111.Google ScholarGoogle Scholar
  29. Heimgärtner, R., Tiede, L.-W., Leimbach, J., Zehner, S., and Windl, H. 2007. Towards cultural adaptability to broaden universal access in future interfaces of driver information systems. In Proceedings of the 4th International Conference on Universal Access in Human-Computer Interaction: Ambient Interaction. 383--392. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Hermeking, M. 2005. Culture and Internet consumption: Contributions from cross-cultural marketing and advertising research. J. Comput.-Mediat. Comm. 11, 1.Google ScholarGoogle ScholarCross RefCross Ref
  31. Hodemacher, D., Jarman, F., and Mandl, T. 2005. Kultur und Web-Design: Ein empirischer Vergleich zwischen Grossbritannien und Deutschland. In Proceedings of the Conference Mensch und Computer 2005. Kunst und Wissenschaft, Grenzilberschreitungen der interaktiven, Art, 93--101.Google ScholarGoogle Scholar
  32. Hofstede, G. 1986. Cultural differences in teaching and learning. Int. J. Intercult. Relat. 10, 301--320.Google ScholarGoogle ScholarCross RefCross Ref
  33. Hofstede, G. 1997. Cultures and Organizations: Software of the Mind. McGraw-Hill.Google ScholarGoogle Scholar
  34. Hofstede, G. 2001. Culture's Consequences: Comparing Values, Behaviors and Organizations across Nations 2nd Ed. Sage Publications.Google ScholarGoogle Scholar
  35. Hook, K. 1997. Evaluating the utility and usability of an adaptive hypermedia system. In Proceedings of the International Conference on Intelligent User Interfaces. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. International Standard Organization. 1997. ISO 9241-11: Ergonomic requirements for office work with visual display terminals (VDTs): Guidance on usability.Google ScholarGoogle Scholar
  37. Ito, M. and Nakakoji, K. 1996. Impact of culture on user interface design. In International User Interfaces, Wiley, 105--126. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Kamentz, E. 2006. Adaptivität von Hypermedialen Lernsystemen: Ein Vorgehensmodell fur die Konzeption einer Benutzermodellierungskomponente unter Berucksichtigung Kulturbedingter Benutzereigenschaften. Ph.D. thesis, University of Hildesheim.Google ScholarGoogle Scholar
  39. Kamentz, E., Womser-Hacker, C., G. Szwillus, and Ziegler, J. 2003. Lerntheorie und Kultur: eine Voruntersuchung für die Entwicklung von Lernsystemen für internationale Zielgruppen. In Proceedings of the Conference “Mensch und Computer”. 349--358.Google ScholarGoogle Scholar
  40. Kersten, G., Kersten, M., and Rakowski, W. 2002. Software and culture: Beyond the internationalization of the interface. J. Glob. Inform. Manage. 10.Google ScholarGoogle Scholar
  41. Kondratova, I. and Goldfarb, I. 2006. Cultural interface design: Global colors study. In Proceedings of the Move to Meaningful Internet Systems, OTM'06 Workshops. Springer, 926--934. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Kroeber, A. and Kluckhohn, C. 1952. Culture: A Critical Review of Concepts and Definitions. Vintage Books.Google ScholarGoogle Scholar
  43. Lavie, T. and Tractinsky, N. 2004. Assessing dimensions of perceived visual aesthetics of Web sites. Int. J. Hum.-Comput. Stud. 60, 3, 269--298. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Lindgaard, G. 2007. Aesthetics, Visual Appeal, Usability and User Satisfaction: What Do the User's Eyes Tell the User's Brain? Austral. J. Emerg. Techn. Soc. 5, 1, 1--14.Google ScholarGoogle Scholar
  45. Lindgaard, G. and Dudek, C. 2003. What is this evasive beast we call user satisfaction? Interact. Comput. 15, 3, 429--452.Google ScholarGoogle ScholarCross RefCross Ref
  46. Lindgaard, G., Fernandes, G., Dudek, C., and Brown, J. 2006. Attention web designers: You have 50 milliseconds to make a good first impression) Behav. Inform. Techn. 25, 2, 115--126.Google ScholarGoogle ScholarCross RefCross Ref
  47. Marcus, A. 2000. International and intercultural user interfaces. In User Interfaces for All, Lawrence Erlbaum Associates, New York, 47--63.Google ScholarGoogle Scholar
  48. Marcus, A. and Baumgartner, V.-J. 2004. A practical set of culture dimensions for global user interface development. In Proceedings of the International Conference on Computer Human Interaction. 252--261.Google ScholarGoogle Scholar
  49. Marcus, A. and Gould, E. W. 2000. Crosscurrents: cultural dimensions and global Web user-interface design. ACM Interact. 7, 4, 32--46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Marcus, A. and Gould, E. W. 2001. Cultural dimensions and global web design: What? So what? Now what? In Proceedings of the Conference on Human Factors and the Web.Google ScholarGoogle Scholar
  51. McSweeney, B. 2002. Hofstede's model of national cultural differences and their consequences. Hum. Relat. 55, 1, 89--118.Google ScholarGoogle ScholarCross RefCross Ref
  52. Mehta, B. and Nejdl, W. 2007. Intelligent distributed user modeling: from semantics to learning. In Proceedings of the International Workshop on Ubiquitous and Decentralized User Modeling.Google ScholarGoogle Scholar
  53. Nisbett, R. 2003. The Geography of Thought. Free Press, New York.Google ScholarGoogle Scholar
  54. Norman, D. A. 2004. Emotional Design: Why We Love (or Hate) Everyday Things. Basic Books, New York.Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Nunally, J. and Bernstein, I. 1994. Psychometric Theory. McGraw-Hill Humanities/Social Sciences/Languages.Google ScholarGoogle Scholar
  56. O'Neill-Brown, P. 1997. Setting the stage for the culturally adaptive agent. In Proceedings of the AAAI Fall Symposium on Socially Intelligent Agents.Google ScholarGoogle Scholar
  57. Oshlyansky, L., Cairns, P., and Thimbleby, H. 2007. Validating the unified theory of acceptance and use of technology (UTAUT) tool cross-culturally. In Proceedings of the 21st British HCI Group Annual Conference. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Reinecke, K. 2005. A learning platform for the education of agricultural advisers in Rwanda. M.S. thesis, Computer Science Department, University of Koblenz, Germany.Google ScholarGoogle Scholar
  59. Reinecke, K. and Bernstein, A. 2007. Culturally adaptive software: Moving beyond internationalization. In Proceedings of the International Conference on Human-Computer Interaction. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Reinecke, K. and Bernstein, A. 2008. Predicting user interface preferences of culturally ambiguous users. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI). ACM Digital Library. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Reinecke, K. and Bernstein, A. 2009. Tell me where you've lived, and i'll tell you what you like: Adapting interfaces to cultural preferences. In Proceedings of the International Conference on User Modeling, Adaptation, and Personalization (UMAP). Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Reinecke, K., Reif, G., and Bernstein, A. 2007. Cultural user modeling with CUMO: An approach to overcome the personalization bootstrapping problem. In Proceedings of the Workshop on Cultural Heritage on the Semantic Web, International Semantic Web Conference.Google ScholarGoogle Scholar
  63. Reinecke, K., Schenkel, S., and Bernstein, A. 2010. Modeling a user's culture. In Handbook of Research on Culturally Aware Information Technology: Perspectives And Models. IGI Global.Google ScholarGoogle Scholar
  64. Rogers, P. and Tan, J. 2008. Fifty years of intercultural study: A continuum of perspectives for research and teaching. Tech. rep., Ross School of Business.Google ScholarGoogle Scholar
  65. Rose, K 2005. Aspekte der interkulturellen Systemgestaltunllj. In Proceedings of the Conference Mensch und Computer'05. Kunst und Wissenschaft, GrenzUberschreitungen der interaktiven Art.Google ScholarGoogle Scholar
  66. Schmid-Isler, S. 2000. The Language of Digital Genres—A Semiotic Investigation of Style and Iconology on the World Wide Web. System Sciences. Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. Sears, A. and Shneiderman, B. 1994. Split menus: Effectively using selection frequency to organize menus. ACM Trans. Comput.-Hum. Interact. 1, 1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  68. Shneiderman, B. 2002. Promoting universal usability with multi-layer interface design. In Proceedings of the ACM Conference on Universal Usability. Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. Siala, H., O'Keefe, R., and Hone, K 2004. The Impact of religious affiliation on trust in the context of electronic commerce. Interact. Comput.Google ScholarGoogle Scholar
  70. Tractinsky, N. 1997. Aesthetics and apparent usability: Empirically Assessing cultural and methodological issues. In Proceedings of the International Conference on Human factors in Computing Systems (CHI'97). Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Tractinsky, N., Cokhavi, A., Kirschenbaum, M., and Sharfi, T. 2006. Evaluating the consistency of immediate aesthetic perceptions of web pages. Int. J. Hum.-Comput. Stud. 64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  72. Tractinsky, N., Shoval-Katz, A., and Ikar, D, 2000. What is beautiful is usable. Interact. Comput. 13, 2, 127--145.Google ScholarGoogle ScholarCross RefCross Ref
  73. Venkatesh, V. and Zhang, X. 2010. Culture and technology adoption: Theory and empirical test of the unified theory of acceptance and use of technology (UTAUT) in the U.S. vs. China. J. Glob. Inform. Techn. Manage. 13, 1, 5--27.Google ScholarGoogle ScholarCross RefCross Ref
  74. Venkatesh, V., Morris, M., Davis, G., and Davis, F. 2003. User acceptance of information technology: Toward a unified view. MIS Quart. 27, 3, 425--478. Google ScholarGoogle ScholarCross RefCross Ref
  75. Voehringer-Kuhnt, T. 2002. Kulturelle Einflusse auf die Gestaltung von Mensch-Maschine Systemen. GRIN Verlag.Google ScholarGoogle Scholar
  76. Yeo, A. 1996. World-Wide CHI: Cultural user interfaces, a silver lining in cultural diversity. SIGCHI Bull. 28, 3, 7. Google ScholarGoogle ScholarDigital LibraryDigital Library
  77. Zahed, F., Van Pelt, W., and Song, J, 2001. Crosscurrents: Cultural dimensions and global web user interface design. IEEE Profess. Comm. 44, 2, 83--103.Google ScholarGoogle ScholarCross RefCross Ref
  78. Zhao, W., Massey, B., Murphy, J., and Lui, F. 2003. Cultural dimensions of web site design and content. Prometheus 21, 75--84.Google ScholarGoogle ScholarCross RefCross Ref

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      cover image ACM Transactions on Computer-Human Interaction
      ACM Transactions on Computer-Human Interaction  Volume 18, Issue 2
      June 2011
      149 pages
      ISSN:1073-0516
      EISSN:1557-7325
      DOI:10.1145/1970378
      Issue’s Table of Contents

      Copyright © 2011 ACM

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      Publication History

      • Published: 1 July 2011
      • Accepted: 1 January 2011
      • Revised: 1 September 2010
      • Received: 1 April 2010
      Published in tochi Volume 18, Issue 2

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