Hee-Cheol Kim

Department of Computer Engineering, u-Healthcare & Anti-aging Research Center, Inje University, Gimhae, Gyeong-Nam, Korea. E-mail address: heeki@inje.ac.kr

Abstract

The discipline of human-computer interaction (HCI) has been vital in developing understandings of users, usability, and the design of user-centered computer systems. However, it does not provide a satisfactory explanation of user perspectives on the specialized but important domain of innovative technologies, instead focusing more on mature technologies. In particular, the success of innovative technologies requires attention to be focused on early adopters of the technology and enthusiasts, rather than general end-users. Therefore, user acceptance should be considered more important than usability and convenience. At present, little is known about the ways in which innovative technologies are evaluated from the point of view of user acceptance. In this paper, we propose Acceptability Engineering as an academic discipline through which theories and methods for the design of acceptable innovative technologies can be discussed.

Keywords: Acceptability; Discipline; Early adopter; Human-computer interaction; Innovative technologies; Usability; User acceptance.

References

Bengts, M.K. (2004). Usability as a constituent of end-user computing satisfaction (Master's Thesis). Jyvaskyla: University of Jyvaskyla.         [ Links ]

Bennett, J.L. (1979). The commercial impact of usability in interactive systems, in Shackel, B. (eds.), Man/computer communication, Infotech State of the Art Report (vol. 2, pp. 1-17). Maidenhead, UK: Infotech Int.         [ Links ]

Buenaflor, C., & Kim, H.-C. (2012). Towards understanding of early adopters as influential users of innovative technologies (pp. 520-523). Jeju, Korea: Int. Conf. on Computer Information Systems and Industrial Applications.         [ Links ]

Buenaflor, C., & Kim, H.-C. (2013). Six human factors to acceptance of wearable computers. International Journal of Multimedia Ubiquitous Engineering, 8, 103-114.         [ Links ]

Chau, P.Y.K., & Hui, K.L. (1998). Identifying early adopters of new IT products: a case of Windows 95. Journal of Information & Management, 33, 225-230.         [ Links ]

Christensen, C.M. (1997). The innovator's dilemmas: when new technologies cause great firms to fail. Boston: Harvard Business School Press.         [ Links ]

Christensen, C.M., & Overdorf, M. (2000). Meeting the challenge of disruptive change. Harvard Business Review, 2000, 1-11.         [ Links ]

Christensen, C.M., Anthony, S.D., & Roth, E.A. (2004). Seeing what's next. Boston: Harvard Business School Press.         [ Links ]

Foxall, G.R. (1994). Consumer choice as an evolutionary process: an operant interpretation of adopter behavior. Advances in Consumer Research, 21, 312-317.         [ Links ]

ISO 9241-11 (1998). Ergonomic requirements for office work with visual display terminals - Part 11: Guidance on usability. Int. J. Human-Computer Studies, 55, 533-552.         [ Links ]

Kauffman, R.J., & Techatassanasoontorn, A.A. (2009). Understanding early diffusion of digital wireless phones. Telecommunications Policy, 33, 432-450.         [ Links ]

Kim H.-C., Meng Y., & Chung, G.-S. (2011). Health care with wellness wear. In Smigorski, K. (ed.), Health management: different approaches and solutions (pp. 41-58). Rijeka, Croatia: Intech.         [ Links ]

Miller, R.B. (1971). Human ease of use criteria and their tradeoffs, Technical Report TR 00.2185. Poughkeepsie, New York: IBM.         [ Links ]

Moore, G. (1991). Crossing the chasm: marketing and selling high-tech goods to mainstream customers. New York: Harper Business.         [ Links ]

Nielsen, J. (1993). Usability Engineering. Boston: Morgan Kaufmann.         [ Links ]

Pedersen, P.E. (2005). Adoption of mobile Internet services: an exploratory study of mobile commerce early adopters. Journal of Organizational Computing and Electronic Commerce, 15, 203-222.         [ Links ]

Rajan S.P., & Sukanesh, R. (2013). Experimental studies on intelligent, wearable and automated wireless mobile tele-alert system for continuous cardiac surveillance. Journal of Applied Research and Technology, 11, 133-143.         [ Links ]

Rogers, E. (2003). Diffusion of innovations. New York: Simon and Schuster.         [ Links ]

Saizmaa, T., & Kim, H.-C. (2006). Evolution of perspectives on usability. Busan, Korea: 2006 International Conference on Hybrid Information Technology.         [ Links ]

Shackel, B. (1981). The concept of usability (pp. 1-30). Poughkeepsie, New York: Proceedings of IBM Software and Information Usability Symposium.         [ Links ]

Shackel, B. (1986). Ergonomics in design for usability (pp. 44-64). York, UK: Proceedings of the Second Conference of the British Computer Society, Human Computer Interaction Specialist Group on People and Computers: designing for usability.         [ Links ]

Shackel, B. (1991). Usability -context, framework, design and evaluation. In Shackel, B., & Richardson, S. (eds.), Human factors for informatics usability (pp. 21-38). Cambridge, UK: Cambridge University Press.         [ Links ]

Soares, O.D.D., Martins da Cruz, A., Costa Pereira, G., Soares, I.M.R.T., & Reis, A.J.P.S. (1997). Innovation and Technology: Strategies and Policies. New York: Springer.         [ Links ]

Van Welie, M., Van Der Veer, G.C., & Eliens, A. (1999). Breaking down usability. Proceedings of INTERACT, 99, 613-620.         [ Links ]

Wang X.P. (2014). Hybrid SWOT approach for strategic planning and formulation in China Worldwide Express Mail Service. Journal of Applied Research and Technology, 12, 230-238.         [ Links ]

Watier, K. (2003). Marketing wearable computers to consumers: an examination of early adopter consumers' feelings and attitudes toward wearable computers (Master thesis). Washington: Georgetown University.         [ Links ]

Wright, M., & Charlett, D. (1995). New product diffusion models in marketing:an assessment of two approaches. J. Marketing Bulletin, 6, 32-41.         [ Links ]