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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.
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5	5	= Frameworks=
6		-=== DECIDE Framework===
	6	+== DECIDE Framework==
7	7	**D**etermine the goals
8	8
9		-* What are the high-level goals of the evaluation?
10		-* Who wants it and why?
11		-* The goals influence the approach used for the study.
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 ====
15		- Define goals and research questions. Our research questions are:
	10	+==== Explore the questions ====
16	16
17		-* Are the different stakeholders able to use our prototype smoothly?
18		-* Does the prototype allow the PwD greater autonomy in their day-to-day life?
19		-* Does the prototype improve the emotional state of the PwD and their relatives?
20	20
21		-**C**hoose the evaluation approach and methods ====
22		- The evaluation approach influences the methods used, and in turn, how data is collected, analyzed, and presented.
	13	+==== Choose the evaluation approach and methods ====
23	23
24	24
25		-**I**dentify the practical issues ====
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.
	16	+==== Identify the practical issues ====
27	27
28		-**D**ecide how to deal with ethical issues ====
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 ====
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.
	19	+==== Decide how to deal with ethical issues ====
33	33
34		-=== IMPACT Framework===
35		-**I**ntention: Clarify objectives and hypotheses/claims
36		-**M**etrics & Measures: What, how and why
37		-**P**eople: Target group & participants
38		-**A**ctivities: Derive activities from use cases
39		-**C**ontext: Social, ethical, physical, etc. aspects
40		-**T**echnologies: Hardware and software
41	41
	22	+==== Evaluate, analyze, interpret and present the data ====
42	42
43		-===Formative Evaluation===
44		-Focus on the various processes of the human-technology interaction
45		-Derive open questions from the design specification.
46	46
47		-===Summative Evaluation===
48		-Focuses on the overall effects of the human-technology interaction
49		-Specify research questions and hypotheses based on claims.
	25	+== IMPACT Framework==
	26	+==== Intention ====
50	50
51		-===Data===
52		-====Qualitative Data====
53		-Explore, discover, instruct
54	54
55		-* Understand and interpret interactions
56		-* Gain insight into views and perspectives
57		-* Open-ended, like interviews and participant observations
58		-* Try to identify patterns, features, themes
59		-* Study groups tend to be smaller
	29	+==== Metrics & Measures ====
60	60
61		-====Quantitative Data====
62		-Describe, explain, predict
63		-* Measure outcomes, test hypotheses, and make predictions
64		-* Precise measurements
65		-* Identify statistical relationships
66		-* Larger number of participants
67	67
68		-===Experimental Design===
69		-====Within-subjects====
70		-Each participant, all conditions
71		-* Few subjects needed
72		-* Reduced variability
73		-* More statistical power
74		-* Practice/fatigue effects
	32	+==== People ====
75	75
76		-====Between-subjects====
77		-Each participant, one condition
78		-* Simplicity
79		-* Less chance of practice/fatigue effects
80		-* More time, effort and participants
81		-* Individual variability
82		-* Environment factors
	34	+
	35	+==== Activities ====
	36	+
	37	+
	38	+==== Context ====
	39	+
	40	+
	41	+==== Technologies ====
	42	+
	43	+