Improving the Usability Evaluation Technique, Heuristic Evaluation, Through the Use of Collaborative Software

Analysis is a key part of usability testing where UX practitioners seek to identify usability problems and generate redesign suggestions. Although previous research reported how analysis was conducted, the findings were typically focused on individual analysis or based on a small number of professionals in specific geographic regions. We conducted an online international survey of 279 UX practitioners on their practices and challenges while collaborating during data analysis. We found that UX practitioners were often under time pressure to conduct analysis and adopted three modes of collaboration: independently analyze different portions of the data and then collaborate, collaboratively analyze the session with little or no independent analysis, and independently analyze the same set of data and then collaborate. Moreover, most encountered challenges related to lack of resources, disagreements with colleagues regarding usability problems, and difficulty merging analysis from multiple practitioners. We discuss design implications to better support collaborative data analysis. CCS CONCEPTS• Human-centered computing → Empirical studies in collaborative and social computing.

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Improving the Usability Evaluation Technique, Heuristic Evaluation, Through the Use of Collaborative Software

Abstract: This paper examines how to increase the productivity of the software usability evaluation technique called heuristic evaluation (HE)

Cited by 4 publications

References 22 publications

Improving Design Artifact Reviews with Group Support Systems and an Extension of Heuristic Evaluation Techniques

Improving Design Artifact Reviews with Group Support Systems and an Extension of Heuristic Evaluation Techniques

Evaluation in Information Visualization: Heuristic Evaluation

“Merging Results Is No Easy Task”: An International Survey Study of Collaborative Data Analysis Practices Among UX Practitioners

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