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General Discussion and Conclusion

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Predicting User Performance and Errors

Part of the book series: T-Labs Series in Telecommunication Services ((TLABS))

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Abstract

In this chapter:

  • Recap the scientific contributions from the previous chapters.

  • Discussion on the background of the research questions stated in the introduction.

  • Concluding remarks and outlook.

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Notes

  1. 1.

    Parts of this chapter have already been published in Halbrügge et al. (2016)

  2. 2.

    As errors often lead to corrective behavior (which takes additional time), this operationalization is not independent from the efficiency measure of task completion time. It nevertheless represents a sufficiently different aspect of usability.

  3. 3.

    Example: In one observational study, office workers in different departments of a company spent most of their time using e-mail software (Peres 2005). According to Peres, e-mail handling was not only done rather inefficiently, the employees also lacked motivation to learn more efficient strategies as they considered e-mail being not that relevant (compared to, e.g., efficient handling of an integrated software development environment in case of software engineers). From the employer’s perspective, this opens the possibility to reduce costs if e-mail software is designed for user efficiency.

  4. 4.

    For reference: In that year, worldwide mobile app store revenue totaled 26 billion USD (Gartner 2013a) and video games without consoles 49 billion USD (Gartner 2013b).

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Correspondence to Marc Halbrügge .

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Halbrügge, M. (2018). General Discussion and Conclusion. In: Predicting User Performance and Errors. T-Labs Series in Telecommunication Services. Springer, Cham. https://doi.org/10.1007/978-3-319-60369-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-60369-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60368-1

  • Online ISBN: 978-3-319-60369-8

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