Mind over machine: the power of human intuition and expertise in the era of the computer
Mind over machine: the power of human intuition and expertise in the era of the computer
What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
What is good?: a comparison between the quality criteria used in design and science
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Scientometric analysis of the CHI proceedings
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The reflective transformative design process
CHI '09 Extended Abstracts on Human Factors in Computing Systems
AdMoVeo: A Robotic Platform for Teaching Creative Programming to Designers
Edutainment '09 Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development
Tradeoffs in design research: development oriented triangulation
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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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.