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Details

Autor(en) / Beteiligte
Titel
On the Application of Motivation Theory to Human Factors/Ergonomics: Motivational Design Principles for Human–Technology Interaction
Ist Teil von
  • Human factors, 2014-12, Vol.56 (8), p.1453-1471
Ort / Verlag
Los Angeles, CA: SAGE Publications
Erscheinungsjahr
2014
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • Objective: Motivation is a driving force in human–technology interaction. This paper represents an effort to (a) describe a theoretical model of motivation in human technology interaction, (b) provide design principles and guidelines based on this theory, and (c) describe a sequence of steps for the evaluation of motivational factors in human–technology interaction. Background: Motivation theory has been relatively neglected in human factors/ergonomics (HF/E). In both research and practice, the (implicit) assumption has been that the operator is already motivated or that motivation is an organizational concern and beyond the purview of HF/E. However, technology can induce task-related boredom (e.g., automation) that can be stressful and also increase system vulnerability to performance failures. Method: A theoretical model of motivation in human–technology interaction is proposed, based on extension of the self-determination theory of motivation to HF/E. This model provides the basis for both future research and for development of practical recommendations for design. Results: General principles and guidelines for motivational design are described as well as a sequence of steps for the design process. Conclusion: Human motivation is an important concern for HF/E research and practice. Procedures in the design of both simple and complex technologies can, and should, include the evaluation of motivational characteristics of the task, interface, or system. In addition, researchers should investigate these factors in specific human–technology domains. Application: The theory, principles, and guidelines described here can be incorporated into existing techniques for task analysis and for interface and system design.

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