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Published byRaymond Chandler Modified over 9 years ago
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The product of evaluation is knowledge. This could be knowledge about a design, knowledge about the user or knowledge about the task.
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Two types of evaluation: 1.Summative Evaluation 2.Formative Evaluation Is evaluation necessary? When do we need it? Quantitative vs. Qualitative Data
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To increase the quality of research, we must avoid the following effects during the observational study: 1.Hawthorne effect 2.Observer effect 3.Halo effect
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Verbal Protocols Designing Observations: ◦ Writing a verbal protocol ◦ How to conduct a session ◦ Analyzing a protocol/transcript
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We ask users to speak out load and mention why they had done an action. 2 components: ◦ Talk aloud: verbalize silent decision ◦ Think aloud: verbalize whatever thoughts occur during this task.
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Select: ◦ Tasks ◦ Users ◦ Environment ◦ One or two significant functional requirements Observe (at least 3 users) Give users their set of tasks to complete Conduct a think-aloud study Keep protocols (transcripts for each user) Record users comments, etc. (p. 141)
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Description of the environment List of tasks completed by the user Users’ background & demographic details Record and write up users’ comments, body language, facial expressions The aspects of the interface that these responses relate to should also be detailed.
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Choose the tasks Select users – wrong users lead to misleading information Explain the purpose to the users Conduct the evaluation – for example: ◦ What are you looking at now? ◦ What just happened? ◦ What are you going to do next? Why?
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The data that you will have at the end of a session is known as the transcript, which details the physical actions and verbal commentary that the user has made. When analyzing a transcript of an evaluation session, the aim is to categorize the comments according to: ◦ Frequency ◦ Fundamentality
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Experiments define a hypothesis 2 stages of experiments: ◦ Implementing the experiment ◦ Analyzing the results Advantages: systematic with a repeatable approach to testing based on scientific rigor. Disadvantages: includes a reduced consideration of specific variables, questions which are hard t relate to real-world holistic problems and an artificial setting which may lack real-world validity. In testing we strive for realism
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CW is an approach to formative evaluation without users. ◦ Preparing a CW ◦ Conducting a CW ◦ Experiments in Support of Design ◦ Dependent and Independent Variables ◦ Assigning Subjects ◦ Statistics ◦ Summary of user experimentation
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Interviews ◦ Structured interview ◦ Unstructured interview Questionnaires: ◦ Open Q’s ◦ Closed Q’s: Simple checklist: Y/N or N/A Ranked order: (select your preference) Multi-point rating scale: strongly agree/disagree
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