HCI reality - an 'Unreal Tournament'?

The cooperation between designers, engineers and scientists in the human-computer interaction (HCI) community is often difficult, and can only be explained by investigating the different paradigms by which they operate. This study proposes a paradigm model for designers, engineers and scientists, using three barriers to separate the professions. We then report on an empirical study that attempted to validate the understand/transform world barrier in the paradigm model using an online questionnaire. We conclude that the used 'Attitude About Reality' scale was unsuitable for measuring this barrier, whereas information about the educational background of the participants was a good predictor for the self-reported profession (designer, engineer or scientist). Interestingly, among the three professions, engineers appear to be the cohesive element, since they often have dual backgrounds, whereas very few participants had dual science/design backgrounds. Engineers could, therefore, build a bridge between designers and scientists, and through their integrative role, could guide the HCI community to realizing its full potential.

[1]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[2]  C. P. Snow,et al.  The Two Cultures: And a Second Look , 1965 .

[3]  Joseph C. Pitt,et al.  What Engineers Know , 2001 .

[4]  Hubert L. Dreyfus,et al.  Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer , 1987, IEEE Expert.

[5]  Donald A. Schön.  The reflective practitioner : how professionals think in action , 1986 .

[6]  Walter G. Vincenti,et al.  What Engineers Know and How They Know It: Analytical Studies from Aeronautical History. , 1992 .

[7]  R. J. Bogumil,et al.  The reflective practitioner: How professionals think in action , 1985, Proceedings of the IEEE.

[8]  Thomas J. Johnson,et al.  Research Methodology: Taming the Cyber Frontier , 1999 .

[9]  Arthur Jaffe,et al.  PROOF AND THE EVOLUTION OF MATHEMATICS , 1997, Synthese.

[10]  John F. Kihlstrom,et al.  Intuition, incubation, and insight: Implicit cognition in problem solving. , 1996 .

[11]  H. Simon.  The Sciences of the Artificial, (Third edition) , 1997 .

[12]  H. Dreyfus.  What Computers Can't Do: The Limits of Artificial Intelligence , 1978 .

[13]  Jonathan Arnowitz,et al.  CHI and the practitioner dilemma , 2005, INTR.

[14]  K. Gergen.  THE SOCIAL CONSTRUCTIONIST MOVEMENT IN MODERN PSYCHOLOGY , 1985 .

[15]  Donald A. Schön,et al.  The Reflective Practitioner: How Professionals Think in Action. , 1987 .

[16]  Friedrich Klemm,et al.  A History of Western Technology , 1960 .

[17]  Linda A. Jackson,et al.  The Attitudes About Reality Scale: A New Measure of Personal Epistemology , 1989 .

[18]  Rhoda K. Unger,et al.  Personal epistemology and personal experience , 1986 .

[19]  Sherwin Bailey,et al.  The two cultures: and a second look , 1964 .

[20]  S. Blackmore.  The Meme Machine , 1999 .

[21]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[22]  Hubert L. Dreyfus,et al.  What computers still can't do - a critique of artificial reason , 1992 .

[23]  Walter Guido Vincenti,et al.  What Engineers Know and How They Know It: Analytical Studies from Aeronautical History by Walter G. Vincenti , 1992, Technology and Culture.

[24]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[25]  Matthias Rauterberg,et al.  HCI as an engineering discipline: to be or not to be!? , 2006, Afr. J. Inf. Commun. Technol..