Reduction of Human Induced Uncertainty Through Appropriate Feedback Design
Due to the reduction of development periods and a concurrent increase of product complexity, knowledge about the usage and resulting strain of products becomes more and more important. Thereby the human impact on the uncertainty of usage is essential, yet
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Abstract Due to the reduction of development periods and a concurrent increase of product complexity, knowledge about the usage and resulting strain of products becomes more and more important. Thereby the human impact on the uncertainty of usage is essential, yet hardly known or quantified. A first approach for the reduction of uncertainty could be the enhancement of information by means of additional feedback. Therefore, a laboratory study is conducted to investigate the amount of uncertainty as well as the impact of feedback on uncertainty, using a simple placement task. The study shows that by enhancing the amount of information given to the user, the systems strain and with this the uncertainty can be reduced significantly. Further an appropriate concept for the representation of information has to be developed, as the mere enhancement of information could also lead to an enhancement of uncertainty.
Keywords Uncertainty Feedback System design Product usage Information processing
1 Introduction In recent years an increase of product recalls, e.g. in the automotive industry [1], can be determined. This is due to the reduction of development periods and product test phases by a concurrent increase of complexity [2]. Therefore, knowledge about the later utilization and the possible resulting strain on a product is crucial when planning and designing a product.
M. Oberle (&) E. Sommer C. König TU Darmstadt, Institute of Ergonomics and Human Factors, Otto-Berndt-Strasse 2, 64287 Darmstadt, Germany e-mail: [email protected] C. König e-mail: [email protected] © Springer International Publishing Switzerland 2017 I.L. Nunes (ed.), Advances in Human Factors and System Interactions, Advances in Intelligent Systems and Computing 497, DOI 10.1007/978-3-319-41956-5_5
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Due to the variety and variability of the involved factors, prediction of the resulting strain on a product through usage is challenging [3]. In the case of load bearing systems, such as the landing gear of an airplane or a bridge, unexpected disturbances (e.g. natural variation of material properties) are identified as reasons for product uncertainty. Especially human interaction is crucial concerning product uncertainty, whereat the human performance variability can lead to the overstressing of a system on one hand, but likewise represents a regulation for unexpected disturbances on the other hand [4]—both contributing to the extent of human uncertainty. Therefore, knowledge about the characteristics of human-machine interaction is vital. Besides a method to further investigate and describe the human induced uncertainty during product usage, the question arises as to how human induced uncertainty can be reduced. According to [5, 6], lack of understanding on the part of the user, due to a lack of information, benefits human error and with this product uncertainty. Therefore, designing an appropriate feedback to enhance the amount of information given to the user by depicting the resulting stress on a
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