Wiki source code of Measuring Instruments

Last modified by Mathieu Jung-Muller on 2022/04/04 13:37

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1 In the lecture about Evaluation, we have learned about the evaluation frameworks, including DECIDE and IMPACT frameworks. We also learned the experiment design and different types of data, etc. These frameworks and methods can be used in our evaluation to give us useful insights into the prototype.
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3 Evaluation is an important part of product design and it can last from the beginning to the very end. In the Human-Computer Interaction field, product evaluation can help researchers to identify good and bad designs, determine how usable features are, discover new features that were neglected before, and compare design choices to assist us in making decisions.
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5 = Frameworks =
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7 == DECIDE Framework ==
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9 **D**etermine the goals
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11 * What are the high-level goals of the evaluation?
12 * Who wants it and why?
13 * The goals influence the approach used for the study.
14 In our evaluation, our goals are to check if the different stakeholders are able to use our prototype smoothly. Investigate how Pepper affects stakeholders' lives and try to use evaluation to improve our prototype.
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16 **E**xplore the questions
17 Define goals and research questions. Our research questions are:
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19 * Are the different stakeholders able to use our prototype smoothly?
20 * Does the prototype allow the PwD greater autonomy in their day-to-day life?
21 * Does the prototype improve the emotional state of the PwD and their relatives?
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23 **C**hoose the evaluation approach and methods
24 The evaluation approach influences the methods used, and in turn, how data is collected, analyzed, and presented.
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27 **I**dentify the practical issues
28 In our case, the most important practical issue is to gather our classmates to do the evaluation. We do not have any real dented people to evaluate. Besides, we have to make a schedule about when to evaluate our prototype.
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30 **D**ecide how to deal with ethical issues
31 Ethical issues are the basis of the evaluation. We would inform all participants about practical issues and make sure to get their consent before starting the evaluation. Users have the right to know their tasks, know what will happen to the collected data, stop participation and leave when they wish.
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33 **E**valuate, analyze, interpret and present the data
34 How data is evaluated, analyzed, interpreted, and presented. To make the results reliable and valid, we have to consider biases, reliability, validity, scope, and ecological validity.
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36 == IMPACT Framework ==
37 **I**ntention: Clarify objectives and hypotheses/claims
38 **M**etrics & Measures: What, how and why
39 **P**eople: Target group & participants
40 **A**ctivities: Derive activities from use cases
41 **C**ontext: Social, ethical, physical, etc. aspects
42 **T**echnologies: Hardware and software
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45 == Formative Evaluation ==
46 Focus on the various processes of the human-technology interaction
47 Derive open questions from the design specification.
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49 == Summative Evaluation ==
50 Focuses on the overall effects of the human-technology interaction
51 Specify research questions and hypotheses based on claims.
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54 = Data =
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56 == Qualitative Data ==
57 Explore, discover, instruct
58 * Understand and interpret interactions
59 * Gain insight into views and perspectives
60 * Open-ended, like interviews and participant observations
61 * Try to identify patterns, features, themes
62 * Study groups tend to be smaller
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64 == Quantitative Data ==
65 Describe, explain, predict
66 * Measure outcomes, test hypotheses, and make predictions
67 * Precise measurements
68 * Identify statistical relationships
69 * Larger number of participants
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71 = Experimental Design =
72 == Within-subjects ==
73 Each participant, all conditions
74 * Few subjects needed
75 * Reduced variability
76 * More statistical power
77 * Practice/fatigue effects
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79 == Between-subjects ==
80 Each participant, one condition
81 * Simplicity
82 * Less chance of practice/fatigue effects
83 * More time, effort and participants
84 * Individual variability
85 * Environment factors