Changes for page Measuring Instruments

Summary

• Page properties (2 modified, 0 added, 0 removed)

Details

Page properties

Author

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1		-XWiki.haoranwang
	1	+XWiki.Mathieu

Content

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3	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.
4	4
5		-= Frameworks=
6		-=== DECIDE Framework===
	5	+= Frameworks =
	6	+
	7	+== DECIDE Framework ==
	8	+
7	7	**D**etermine the goals
8	8
9	9	* What are the high-level goals of the evaluation?
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11	11	* The goals influence the approach used for the study.
12	12	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.
13	13
14		-**E**xplore the questions ====
	16	+**E**xplore the questions
15	15	Define goals and research questions. Our research questions are:
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17	17	* Are the different stakeholders able to use our prototype smoothly?
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18	18	* Does the prototype allow the PwD greater autonomy in their day-to-day life?
19	19	* Does the prototype improve the emotional state of the PwD and their relatives?
20	20
21		-**C**hoose the evaluation approach and methods ====
	23	+**C**hoose the evaluation approach and methods
22	22	The evaluation approach influences the methods used, and in turn, how data is collected, analyzed, and presented.
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24	24
25		-**I**dentify the practical issues ====
	27	+**I**dentify the practical issues
26	26	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.
27	27
28		-**D**ecide how to deal with ethical issues ====
	30	+**D**ecide how to deal with ethical issues
29	29	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.
30	30
31		-**E**valuate, analyze, interpret and present the data ====
	33	+**E**valuate, analyze, interpret and present the data
32	32	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.
33	33
34		-=== IMPACT Framework===
	36	+== IMPACT Framework ==
35	35	**I**ntention: Clarify objectives and hypotheses/claims
36	36	**M**etrics & Measures: What, how and why
37	37	**P**eople: Target group & participants
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40	40	**T**echnologies: Hardware and software
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42	42
43		-===Formative Evaluation===
	45	+== Formative Evaluation ==
44	44	Focus on the various processes of the human-technology interaction
45	45	Derive open questions from the design specification.
46	46
47		-===Summative Evaluation===
	49	+== Summative Evaluation ==
48	48	Focuses on the overall effects of the human-technology interaction
49	49	Specify research questions and hypotheses based on claims.
50	50
51		-===Data===
52		-====Qualitative Data====
53		-Explore, discover, instruct
54	54
	54	+= Data =
	55	+
	56	+== Qualitative Data ==
	57	+Explore, discover, instruct
55	55	* Understand and interpret interactions
56	56	* Gain insight into views and perspectives
57	57	* Open-ended, like interviews and participant observations
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58	58	* Try to identify patterns, features, themes
59	59	* Study groups tend to be smaller
60	60
61		-====Quantitative Data====
	64	+== Quantitative Data ==
62	62	Describe, explain, predict
63	63	* Measure outcomes, test hypotheses, and make predictions
64	64	* Precise measurements
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65	65	* Identify statistical relationships
66	66	* Larger number of participants
67	67
68		-===Experimental Design===
69		-====Within-subjects====
	71	+= Experimental Design =
	72	+== Within-subjects ==
70	70	Each participant, all conditions
71	71	* Few subjects needed
72	72	* Reduced variability
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73	73	* More statistical power
74	74	* Practice/fatigue effects
75	75
76		-====Between-subjects====
	79	+== Between-subjects ==
77	77	Each participant, one condition
78	78	* Simplicity
79	79	* Less chance of practice/fatigue effects