Usability Testing: Identifying Functional Requirements for Data Logging Software

Philips, Brian H.; Dumas, Joseph S.

doi:10.1177/154193129003400412

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…A number of logging tools (and associated literature) exist. Phillips and Dumas [16] presented a number of criteria that effective logging infrastructure must comply with.…”

Section: Existing Approachesmentioning

confidence: 99%

“…The mid-2000s to the mid-2010s saw a shift in focus from platform-specific [14,16,21] to web-based experimental apparatus, including interaction logging infrastructure that focused on examining the DOM. Examples of solutions from this period included MLogger [10], PooDLE [5], Search-Logger [18], Wrapper [13], UsaProxy [3,4], the framework by Hall and Toms [11], WHOSE [12], and YAS-FIIRE [20].…”

Section: Existing Approachesmentioning

confidence: 99%

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LogUI: Contemporary Logging Infrastructure for Web-Based Experiments

Maxwell

Hauff

2021

Lecture Notes in Computer Science

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Logging user interactions is fundamental to capturing and subsequently analysing user behaviours in the context of web-based Interactive Information Retrieval (IIR). However, logging is often implemented within experimental apparatus in a piecemeal fashion, leading to incomplete or noisy data. To address these issues, we present the LogUI logging framework. We use (now ubiquitous) contemporary web technologies to provide an easy-to-use yet powerful framework that can capture virtually any user interaction on a webpage. LogUI removes many of the complexities that must be considered for effective interaction logging.

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“…A number of logging tools (and associated literature) exist. Phillips and Dumas [16] presented a number of criteria that effective logging infrastructure must comply with.…”

Section: Existing Approachesmentioning

confidence: 99%

Section: Existing Approachesmentioning

confidence: 99%

LogUI: Contemporary Logging Infrastructure for Web-Based Experiments

Maxwell

Hauff

2021

Lecture Notes in Computer Science

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“…Before you are ready to conduct the pilot test, which is the last step before conducting the usability evaluation, you have to prepare the physical test environment. The evaluation team needs to prepare the test room and observation room, procure required equipment (hardware, software), network connections and establish communications between the participant and the helpdesk (Philips & Dumas, 1990).…”

Section: • Preparing the Testing Environmentmentioning

confidence: 99%

The Evaluation Cycle Management - Method Applied to the Evaluation of Learning Management Systems

Pipan

Arh

Blažič

2010

Integrating Usability Engineering for Designing the Web Experience

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The chapter deals with a complex decision-making problem, the selection and evaluation of Learning Management Systems (LMS) in which several objectives - referring to the definite group of users - like social, technical, environmental, and economic impacts, must be simultaneously taken into account. We introduce Evaluation Cycle Management (ECM), a support methodology aimed at the evaluation of options that occur in the decision-making processes. ECM is based on Multi-attribute decision making (Criteria Evaluation) and Usability Testing (Usability Evaluation). The Multi-attribute decision making in the first phase of ECM presents an approach to the development of a qualitative hierarchical decision model that is based on DEX, an expert system shell for multi-attribute decision support. The second phase of ECM is aimed at Usability Testing on end users. ECM illustrates its usefulness by showing its main features and its application to the above problem. It is based on the theoretical and practical expertise related to the quality and usability assurance of LMS.

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“…First, it is possible that keystroke information can be logged by a human monitor. This process might be assisted by a video recording of user performance, the use of a separate computer running software designed to facilitate the recording ofmultiple events and timing intervals (Phillips & Dumas, 1990), or both (Hoiem & Sullivan, 1994). A commercially available example of software that can be used in this way is EVENTLOG (Hendersen, 1987).…”

mentioning

confidence: 99%