Promoting in-depth reading experience and acceptance: design and assessment of Tablet reading interfaces

References

• Adler, M.J. and Doren, C.L.V., 1972. How to read a book. Rev. ed. New York: Simon and Schuster.
   Google Scholar
• Appleton, L., 2004. The use of electronic books in midwifery education: the student perspective. Health Information & Libraries Journal, 21 (4), 245–252. doi: 10.1111/j.1471-1842.2004.00509.x
   PubMedGoogle Scholar
• Barbour, R.S., 2008. Doing focus groups. London: Sage.
   Google Scholar
• Berger, C., et al., 1993. Kano's methods for understanding customer-defined quality. Center for Quality Management Journal, 2 (4), 3–36.
   Google Scholar
• Beyer, H. and Holtzblatt, K., 1998. Contextual design: defining customer-centered systems. San Francisco, CA: Morgan Kaufmann.
   Google Scholar
• Bilgili, B., Erciş, A., and Ünal, S., 2011. Kano model application in new product development and customer satisfaction (adaptation of traditional art of tile making to jewelries). Procedia – Social and Behavioral Sciences, 24 (0), 829–846. doi: 10.1016/j.sbspro.2011.09.058
   Google Scholar
• Brown, R., 2005. Seventh-graders’ self-regulatory note-taking from text: perceptions, preferences, and practices. Literacy Research and Instruction, 44 (4), 1–26.
   Google Scholar
• Chao, P.-Y. and Chen, G.-D., 2009. Augmenting paper-based learning with mobile phones. Interacting with Computers, 21 (3), 173–185. doi: 10.1016/j.intcom.2009.01.001
   Web of Science ®Google Scholar
• Cohen, J., 1988. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Cook, L.K. and Mayer, R.E., 1983. Reading strategies training for meaningful learning from prose. In: M. Pressley and J.R. Levin, eds. Cognitive strategy research. New York: Springer Verlag, 14–27.
   Google Scholar
• Cook, L.K. and Mayer, R.E., 1988. Teaching readers about the structure of scientific text. Journal of Educational Psychology, 80 (4), 448–456. doi: 10.1037/0022-0663.80.4.448
   Web of Science ®Google Scholar
• Courage, C. and Baxter, K., 2005. Understanding your users: a practical guide to user requirements: methods, tools, and techniques. San Francisco: Morgan Kaufmann.
   Google Scholar
• Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology [Article]. MIS Quarterly, 13 (3), 319–340. doi: 10.2307/249008
   Web of Science ®Google Scholar
• Davis, F.D. and Venkatesh, V., 1996. A critical assessment of potential measurement biases in the technology acceptance model: three experiments. International Journal of Human-Computer Studies, 45 (1), 19–45. doi: 10.1006/ijhc.1996.0040
   Web of Science ®Google Scholar
• Davis, F.D., Bagozzi, R.P., and Warshaw, P.R., 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35 (8), 982–1003. doi: 10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• Gagné, E.D., Yekovich, C.W., and Yekovich, F.R., 1993. The cognitive psychology of school learning. 2nd ed. New York: HarperCollins College.
   Google Scholar
• Goodman, K.S., Flurkey, Alan D., and Xu, J., 2003. On the revolution of reading: the selected writings of Kenneth S. Goodman. Portsmouth, NH: Heinemann.
   Google Scholar
• Graesser, A.C., Singer, M., and Trabasso, T., 1994. Constructing inferences during narrative text comprehension. Psychological review, 101 (3), 371–395. doi: 10.1037/0033-295X.101.3.371
   PubMed Web of Science ®Google Scholar
• Gunning, T.G., 1996. Creating reading instruction for all children. Des Moines, IA: Allyn and Bacon.
   Google Scholar
• Hasan, L., Morris, A., and Probets, S., 2012. A comparison of usability evaluation methods for evaluating e-commerce websites. Behaviour & Information Technology, 31 (7), 707–737. doi: 10.1080/0144929X.2011.596996
   Web of Science ®Google Scholar
• Hillesund, T., 2010. Digital reading spaces: how expert readers handle books, the Web and electronic paper. First Monday [online], 15 (4). Available from: http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewArticle/2762/2504 [Accessed 15 April 2012].
   Google Scholar
• Hong, W., et al., 2002. Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. Journal of Management Information Systems, 18 (3), 97–124.
   Web of Science ®Google Scholar
• ISO, 1999. ISO 13407: human-centred design processes for interactive systems. Geneva: International Standards Organization.
   Google Scholar
• Jan, A.U. and Contreras, V., 2011. Technology acceptance model for the use of information technology in universities. Computers in Human Behavior, 27 (2), 845–851. doi: 10.1016/j.chb.2010.11.009
   Web of Science ®Google Scholar
• Jokela, T., 2004. Evaluating the user-centredness of development organisations: conclusions and implications from empirical usability capability maturity assessments. Interacting with Computers, 16 (6), 1095–1132. doi: 10.1016/j.intcom.2004.07.006
   Web of Science ®Google Scholar
• Jonas, G.A. and Norman, C.S., 2011. Textbook websites: user technology acceptance behaviour. Behaviour & Information Technology, 30 (2), 147–159. doi: 10.1080/01449290903353021
   Web of Science ®Google Scholar
• Kano, N., et al., 1984. Attractive quality and must-be quality. The Journal of the Japanese Society for Quality Control, 14 (2), 39–48.
   Google Scholar
• Katzeff, C., et al., 2012. User-centred design and evaluation of EnergyCoach – an interactive energy service for households. Behaviour & Information Technology, 31 (3), 305–324. doi: 10.1080/0144929X.2011.618778
   Web of Science ®Google Scholar
• Kim, M.J. and Maher, M.L., 2008. The impact of tangible user interfaces on designers’ spatial cognition. Human-Computer Interaction, 23 (2), 101–137. doi: 10.1080/07370020802016415
   Web of Science ®Google Scholar
• Kincl, T. and Štrach, P., 2012. Measuring website quality: asymmetric effect of user satisfaction. Behaviour & Information Technology, 31 (7), 647–657. doi: 10.1080/0144929X.2010.526150
   Web of Science ®Google Scholar
• Kotamraju, N.P. and van der Geest, T.M., 2012. The tension between user-centred design and e-government services. Behaviour & Information Technology, 31 (3), 261–273. doi: 10.1080/0144929X.2011.563797
   Web of Science ®Google Scholar
• Krueger, R.A. and Casey, M.A., 2000. Focus groups: a practical guide for applied research. 2nd ed. Thousand Oaks, CA: Sage.
   Google Scholar
• Kuniavsky, M., 2003. Observing the user experience: a practitioner's guide to user research. San Francisco, CA: Morgan Kaufmann Publishers.
   Google Scholar
• Kwon, O., Choi, K., and Kim, M., 2007. User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure. Behaviour & Information Technology, 26 (6), 483–498. doi: 10.1080/01449290600709111
   Web of Science ®Google Scholar
• Lee, S. and Koubek, R.J. 2011. The impact of cognitive style on user preference based on usability and aesthetics for computer-based systems. International Journal of Human-Computer Interaction, 27 (11), 1083–1114. doi: 10.1080/10447318.2011.555320
   Web of Science ®Google Scholar
• Liesaputra, V. and Witten, I.H., 2012. Realistic electronic books. International Journal of Human-Computer Studies, 70 (9), 588–610. doi: 10.1016/j.ijhcs.2012.02.003
   Web of Science ®Google Scholar
• Liesaputra, V., Witten, I.H., and Bainbridge, D., 2009. Creating and reading realistic electronic books. Computer, 42 (2), 72–81. doi: 10.1109/MC.2009.46
   Web of Science ®Google Scholar
• Llinares, C. and Page, A.F., 2011. Kano's model in Kansei Engineering to evaluate subjective real estate consumer preferences. International Journal of Industrial Ergonomics, 41 (3), 233–246. doi: 10.1016/j.ergon.2011.01.011
   Web of Science ®Google Scholar
• Marek, P.R.A.C. and Andrew, N., 1999. Pedagogical aids in textbooks: do college students’ perceptions justify their prevalence? Teaching of Psychology, 26 (1), 11–19. doi: 10.1207/s15328023top2601_2
   Web of Science ®Google Scholar
• Matzler, K. and Hinterhuber, H.H., 1998. How to make product development projects more successful by integrating Kano's model of customer satisfaction into quality function deployment. Technovation, 18 (1), 25–38. doi: 10.1016/S0166-4972(97)00072-2
   Web of Science ®Google Scholar
• Nicholas, D., et al., 2008. Viewing and reading behaviour in a virtual environment: the full-text download and what can be read into it. Aslib Proceedings: New Information Perspectives, 60 (3), 185–198. doi: 10.1108/00012530810879079
   Web of Science ®Google Scholar
• Nielsen, J., 1994. Usability engineering. Boston, MA: AP Professional.
   Google Scholar
• Pan, S. and Jordan-Marsh, M., 2010. Internet use intention and adoption among Chinese older adults: from the expanded technology acceptance model perspective. Computers in Human Behavior, 26 (5), 1111–1119. doi: 10.1016/j.chb.2010.03.015
   Web of Science ®Google Scholar
• Partala, T. and Kallinen, A. 2012. Understanding the most satisfying and unsatisfying user experiences: emotions, psychological needs, and context. Interacting with Computers, 24 (1), 25–34. doi: 10.1016/j.intcom.2011.10.001
   Web of Science ®Google Scholar
• Pearson, J., et al., 2012. The Digital Reading Desk: A lightweight approach to digital note-taking. Interacting with Computers, 24 (5), 327–338. doi: 10.1016/j.intcom.2012.03.001
   Web of Science ®Google Scholar
• Rhee, Y., Lee, J., and Chang, I., 2010. Designing mobile social networking service through UCD process: LifeDiary. International Journal of Human-Computer Interaction, 26 (11–12), 1052–1076. doi: 10.1080/10447318.2010.516725
   Web of Science ®Google Scholar
• Rubin, J. and Chisnell, D., 2008. Handbook of usability testing: how to plan, design, and conduct effective tests. Indianapolis, IN: Wiley.
   Google Scholar
• Sharp, H., Rogers, Y., and Preece, J., 2007. Interaction design: beyond human-computer interaction. 2nd ed. Hoboken, NJ: Wiley.
   Google Scholar
• Shepperd, J.A., Grace, J.L., and Koch, E.J., 2008. Evaluating the electronic textbook: is it time to dispense with the paper text? Teaching of Psychology, 35 (1), 2–5. doi: 10.1080/00986280701818532
   Web of Science ®Google Scholar
• Sireli, Y., Kauffmann, P., and Ozan, E., 2007. Integration of Kano's model into QFD for multiple product design. IEEE Transactions on Engineering Management, 54 (2), 380–390. doi: 10.1109/TEM.2007.893990
   Web of Science ®Google Scholar
• Skov, M.B. and Stage, J., 2012. Training software developers and designers to conduct usability evaluations. Behaviour & Information Technology, 31 (4), 425–435. doi: 10.1080/01449290903398208
   Web of Science ®Google Scholar
• Stewart, D.W., Shamdasani, P.N., and Rook, D.W., 2007. Focus groups: theory and practice. Thousand Oaks, CA: SAGE.
   Google Scholar
• Venkatesh, V. and Davis, F.D., 1996. A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27 (3), 451–481. doi: 10.1111/j.1540-5915.1996.tb01822.x
   Web of Science ®Google Scholar
• Venkatesh, V., et al., 2003. User acceptance of information technology: toward a unified view. MIS quarterly, 27 (3), 425–478.
   Web of Science ®Google Scholar
• Wilson, C., 2009. User experience re-mastered: your guide to getting the right design (C. Wilson, ed.). Burlington, MA: Elsevier Science & Technology.
   Google Scholar
• Woody, W.D., Daniel, D.B., and Baker, C.A., 2010. E-books or textbooks: Students prefer textbooks. Computers & Education, 55 (3), 945–948. doi: 10.1016/j.compedu.2010.04.005
   Web of Science ®Google Scholar
• Yang, T., Linder, J., and Bolchini, D., 2011. DEEP: design-oriented evaluation of perceived usability. International Journal of Human-Computer Interaction, 28 (5), 308–346. doi: 10.1080/10447318.2011.586320
   Web of Science ®Google Scholar
• Yeh, R.K.-J. and Teng, J.T.C., 2012. Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance. Behaviour & Information Technology, 31 (5), 525–540. doi: 10.1080/0144929X.2010.517272
   Web of Science ®Google Scholar