usability testing phd thesis

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A full set of resources to accompany this feature can be downloaded for free here. Calling all English teachers: does this sound familiar? As structure gcse english lit essay go through extracts in the last lesson on Friday afternoon, you ask carefully crafted questions, and note with satisfaction how students shoot their hands up in a flash, like Barry Allen on the run. Later, back at home, you mark them. What went wrong?

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Usability testing phd thesis

The similar proportion for the study by Henderson et al. Larger numbers of evaluators or users is beneficial to thoroughness [ 35 ]. This is, in particular, seen in the study of Bruun et al. The empirical data on thoroughness seem to support the conclusion that users typically underreport problems in their design feedback, though the extent of such underreporting varies widely between evaluations. Rector et al. The remaining four studies concerning downstream impact, provided more detailed evidence on this.

Hertzum argued that a key factor determining the impact of an evaluation is its location in time: evaluations early in the development process are argued to have more impact than late evaluations. Horsky et al. In the studies providing validity findings, the objects of evaluation were general purpose work support systems or general public websites, potentially explaining why the users did not make findings more complementary to that of the classical usability test. Users were, however, found to be less able with regard to thoroughness.

This finding is highly relevant for usability professionals, whom typically aim to get the highest possible impact on development. The findings from the review may be used to advice usability evaluation practice. In the following, we summarize what we find to be the most important take-away for practitioners:. Consider supporting the users recall by the use of, for example, video recordings from system interaction or by walking through the task.

However, due to challenges in thoroughness, it may be necessary to scale up such evaluations to involve more users than would be needed e. Being a literature review, this study is limited by the research papers available. Nonetheless, the identified papers, though concerning a wide variety of UEMs, were found to provide reasonably consistent findings. In particular, the following topics may be highly relevant for future work:.

In the review, a number of studies addressing various qualitative characteristics were identified. Future research is needed for more in-depth study of this implication of the findings. The review presented in this paper includes these three studies as they satisfy the inclusion criteria for the review.

The thesis was accepted at the University of Oslo in Rubin J, Chisnell D Handbook of usability testing: how to plan, design, and conduct effective tests, 2nd edn. Wiley, Indianapolis. Google Scholar. Bias RG The pluralistic usability walkthrough: coordinated empathies. Wiley, New York, pp 63— Interact Comput 7 4 — Article Google Scholar. Cambridge University Press, Cambridge, pp — Lewis JR Sample sizes for usability tests: mostly math, not magic.

Interactions 13 6 — ACM, New York, pp — Interact Comput 19 2 — Nielsen J First rule of usability? Behav Inf Technol 10 1 — Commun ACM 28 3 — Utilising physiological responses to assess media quality. People and computers XIV—usability or else!. Springer, London, pp — Chapter Google Scholar.

Interact Comput 15 3 — Interactions 5 5 — Int J Man Mach Stud 35 6 — Intellect Books, Exeter. A comparison of lab, beta, and forum tests. Behav Inf Technol 13 1—2 — J Syst Softw 83 11 — Cowley JA, Radford-Davenport J Qualitative data differences between a focus group and online forum hosting a usability design review: a case study.

Proceedings of the human factors and ergonomics society annual meeting 55 1 : — Jacobsen NE Usability evaluation methods: the reliability and usage of cognitive walkthrough and usability test. Doctoral thesis. University of Copenhagen, Denmark. In: Sears A, Jacko J eds The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications, 2nd edn. Lawrence Erlbaum Associates, New York, pp — Wiley, New York, pp 1— Int J Human Comp Interact 22 3 — An empirical study of three methods.

Hertzum M User testing in industry: a case study of laboratory, workshop, and field tests. Rosenbaum S, Kantner L Field usability testing: method, not compromise. Int J Human Comput Interact 21 3 — Greenbaum J, Kyng M eds Design at work. Lawrence Erlbaum Associates, Hillsdale. Cambridge University Press, Cambridge, pp 89— A review of experiments that compare usability evaluation methods.

Human Comput Interact 13 3 — Int J Human Comput Interact 15 1 — Law EL-C Evaluating the downstream utility of user tests and examining the developer effect: a case study. Int J Human Comput Interact 21 2 — Interact Comput 20 1 — Fu L, Salvendy G, Turley L Effectiveness of user testing and heuristic evaluation as a function of performance classification. Behav Inf Technol 21 2 — Keele, UK: Keele University. Harzing AW A preliminary test of Google Scholar as a source for citation data: a longitudinal study of Nobel prize winners.

Scientometrics 94 3 — Interact Comput — Bruun A, Stage J The effect of task assignments and instruction types on remote asynchronous usability testing. Mus Manag Curatorship 19 3 — Sullivan P Multiple methods and the usability of interface prototypes: the complementarity of laboratory observation and focus groups. Donker A, Markopoulos P A comparison of think-aloud, questionnaires and interviews for testing usability with children. J Biomed Inform 43 5 — Int J Hum Comput Stud — Kontio J, Lehtola L, Bragge J Using the focus group method in software engineering: obtaining practitioner and user experiences.

Entertain Comput — Health Inf Libr J 20 3 — Yeo A Global-software development lifecycle: an exploratory study. Smith A, Dunckley L Prototype evaluation and redesign: structuring the design space through contextual techniques. Interact Comput 14 6 — ACM Comput Entertain 6 20 Behav Inf Technol 29 1 — Download references. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

You can also search for this author in PubMed Google Scholar. Reprints and Permissions. Download citation. Received : 02 July Accepted : 18 May Published : 03 July Skip to main content. Search all SpringerOpen articles Search. Download PDF.

Abstract As part of usability evaluation, users may be invited to offer their reflections on the system being evaluated. Introduction Involving users in usability evaluation is valuable when designing information and communication technology ICT , and a range of usability evaluation methods UEM support user involvement.

Methods The literature review was set up following the guidelines of Kitchenham [ 40 ], with some adaptations to fit the nature of the problem area. Table 1 UEMs and associated search terms used in the literature review Full size table. Implications for usability evaluation practice The findings from the review may be used to advice usability evaluation practice. Limitations and future work Being a literature review, this study is limited by the research papers available.

Notes 1. References 1. Wiley, Indianapolis Google Scholar 2. Wiley, New York, pp 63—76 Google Scholar 3. Interact Comput 7 4 — Article Google Scholar 4. Interactions 13 6 —33 Article Google Scholar 6. Interact Comput 19 2 — Article Google Scholar 8. Chapter Google Scholar Interact Comput 15 3 — Article Google Scholar Interactions 5 5 —18 Article Google Scholar Intellect Books, Exeter Google Scholar Proceedings of the human factors and ergonomics society annual meeting 55 1 : — Full text PDF, 5.

Mussgnug, Moritz. ETH Bibliography. The usability assessment of tangible products holds manifold challenges in identifying the sources of usability problems and quantifying the evaluation of user-product interactions. However, the prospects of mobile eye tracking for usability assessments of tangible products are not well studied yet, and there is a lack of methods supporting the analysis of the resulting eye tracking data. Therefore, the goal of this thesis is to evaluate mobile eye tracking in usability assessments of tangible products over the conventional third-person view, and to develop methodological supports for the data analysis.

A comparison study shows that the mobile eye tracking perspective leads to a more detailed description of the scene and a better explanation for the causes of usability problems, when compared to the third-person perspective. To facilitate the analysis of eye tracking data, three analysis methods have been developed. The Target-Based Analysis is a coding scheme for manual analysis, whereas the Scrutinizing algorithm and the Hand-Gaze Distance approach are semi-automated supports, detecting interruptions of the usage flow, considering fixation durations, saccade amplitudes and hand movements.

The evaluation of the three methods shows that the Target-Based Analysis is applicable to a broad variety of applications, however, it is time-consuming. Both, the Scrutinizing algorithm and the Hand-Gaze Distance approach are able to reduce the manual effort and to identify usability problems, however, they are less accurate.

The evidence-based description of the detected usability problems, derived from the mobile eye tracking data, are quickly understood, accepted, and foster a solution-oriented discussion, when presented to others.

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A post shared by Kean University keanuniversity. Problem Statement Thesis is considered to be a major source for students to establish and support their knowledge in whatever field they specialize in. Students, in doing so, encounter multiple problems related to the preparation of thesis such a finding the most suitable supervisor and examiners and specify the viva date and get comments about the thesis with other issues related to thesis schedule.

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Object-oriented System Analysis and Design 2nd ed. CSIS use in school management: a comparison of good and bad practice schools. In Nolan, P. Dordrecht: Kluwer. Carrizo, L. Chang, G. Educational planning through computer simulation. Chung, L. Non-Functional Requirements in Software Engineering. Dordrecht: Kluwer Academic Publishing. Davis, F. International Journal of Human-Computer Interaction , 7 1 , Dennis, A.

System analysis and design with UML version 2. Eugene, M. Fung, A. Imperatives for successful implementation of school information systems. In Visscher, A. Gellersen, H. Object-Oriented Web Application Development. Internet Computing, 3 1 , Hoffer, J. Modern Systems Analysis and Design 3rd ed. Holzinger, A. Usability Engineering Methods for Software Developers. Jaffrey, W. Alternative uses of electronic learning systems for enhancing team performance.

Johan, K. Information System Analysis and Design. Laudon, K. Management Information Systems: Organization and Technology. Management Information Systems. Upper Saddle River. Managing the digital firm, information systems in the enterprise, information systems, organizations, management and strategy. Hannon Eds. Lewis, J. IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use Technical Report No.

Lin, X. Long, L. Information processing in perspective. Management information systems. Lund, A. Martin, F. UML Distilled: brief guide to the standard object modeling language 2nd ed. Nielson, J. Quantitative Studies : How many users to test Alertbox. Nunamaker, J. System Development in Information Systems Research. Journal of Management Information Systems, 2 1 , 89 — Nolan, P.