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Are UX Evaluation Methods Providing the Same Big Picture?

Walter Takashi Nakamura1, Iftekhar Ahmed2, David Redmiles2

  • 1Institute of Computing (IComp), Federal University of Amazonas (UFAM), Avenida Rodrigo Otávio 6200, Manaus 69067-005, Brazil.

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Summary
This summary is machine-generated.

Different user experience (UX) evaluation methods yield contrasting results, impacting software development decisions. This longitudinal study highlights the need to consider developer perspectives and method variability in UX research.

Keywords:
long-term user experiencelongitudinal UX evaluationuser experienceuser experience evaluation methods

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Area of Science:

  • Human-Computer Interaction (HCI)
  • Software Engineering
  • User Experience (UX) Research

Background:

  • Software application success hinges on user retention, making User eXperience (UX) evaluation critical.
  • Existing UX evaluation methods yield varied or contradictory results, complicating practitioner choices.
  • Previous studies often overlook developer perspectives and the longitudinal nature of UX.

Purpose of the Study:

  • To conduct a longitudinal study comparing different UX evaluation methods.
  • To investigate the impact of contrasting UX evaluation results on developer decision-making.
  • To highlight the variability of UX evaluation methods and their influence on software development.

Main Methods:

  • A longitudinal study involving 68 students evaluating an online judge system.
  • Utilized AttrakDiff, User Experience Questionnaire (UEQ), and Sentence Completion methods.
  • Data collected at three distinct time points over a semester.

Main Results:

  • Contrasting results were observed between the AttrakDiff, UEQ, and Sentence Completion methods.
  • These discrepancies influenced developers' interpretations and decision-making processes.
  • The study demonstrated that different methods provide divergent views of user experience over time.

Conclusions:

  • The choice of UX evaluation method significantly impacts study outcomes and subsequent development decisions.
  • A longitudinal approach is crucial for understanding the dynamic nature of user experience.
  • The HCI community must address the discrepancies between UX evaluation methods and their practical implications.