Wiki source code of Test

Version 10.2 by Vishruty Mittal on 2022/03/26 13:50

Show last authors
1 The best way to test our prototype would be a study with persons with dementia. Still, testing the robot in a real environment would be very time-consuming, because it is not predictable if and when persons with dementia start wandering. That is out of scoop for our project.
2 However, we want to get a first impression of how realistic and convincing the provided dialogues and suggested activities are. In a small study with students, who play the role of having dementia, we are observing the interaction with the robot and want to find out how effective it is in preventing people from wandering.
3
4
5 = Problem statement and research questions =
6
7 **Goal**: How effective is music and dialogue in preventing people with dementia from wandering?
8
9 **Research Questions (RQ):**
10
11 1. What percentage of people are prevented from going out unsupervised? (Quantitative) -> CL01,CL05
12 2. How does the interaction change the participant's mood? -> CL02
13 3. Can the robot respond appropriately to the participant's intention? -> CL03
14 4. How do the participants react to the music? -> CL04
15 5. Does the activity that the robot suggests prevent people from wandering/ leaving? -> CL06
16
17 //Future research questions//
18 1. Does the interaction with Pepper make PwD come back to reality? -> CL07
19 2. Does the interaction with Pepper make PwD feel he/she is losing freedom? -> CL08
20 3. Does preventing the participant from going out alone make them feel dependent? -> CL09
21
22
23 = Method =
24
25 A between-subject study with students who play the role of having dementia. Data will be collected by observing the participant's body language and the way that they're responding to Pepper.
26
27 == Participants ==
28
29 20 students who play the role of having dementia. They will be divided into two groups. One group will be interacting with the intelligent (group 1) robot while the other will interact with the unintelligent robot (group 2).
30 It is assumed that all participants are living at the same care centre.
31 Before they start, they can choose how stubborn they want to be and how progressed their stage of dementia is.
32
33 == Experimental design ==
34
35 The first question collects quantitative data, where the number of people who were stopped will be counted.
36 The other RQs are exploratory research.
37
38 1. Observe the participant's mood and see how the conversation goes. Observe the level of aggression (tone, volume, pace)
39 1. Observe whether the mood is improved and the decision has been changed.
40 1. Observe how natural the conversation is. (conversation makes sense)
41 1. Participants fill out questionnaires.
42
43 == Tasks ==
44
45 Because our participants only play the role of having dementia, we will give them a level of stubbornness/ willpower with they are trying to leave. We try to detect this level with the robot.
46 Participants from group 1 (using intelligent robot) will also be given one of the reasons to leave, listed below:
47
48 1. going to the supermarket
49 1. going to the office
50 1. going for a walk
51
52 After this preparation, the participant is told to (try to) leave the building. The participant and robot have an interaction where the robot is trying to convince the participant to stay inside.
53
54
55 == Measures ==
56
57 We will be measuring this physically and emotionally.
58 Physically: whether the participant was stopped from leaving the building or not.
59 Emotionally: evaluate their responses to the robot and observe their mood before and after the interaction.
60
61
62 == Procedure ==
63
64 {{html}}
65 <!-- Your HTML code here -->
66 <table width='100%'>
67 <tr>
68 <th width='50%'>Group 1</th>
69 <th width='50%'>Group 2</th>
70 </tr>
71 <tr>
72 <td>intelligent robot</td>
73 <td>unintelligent robot</td>
74 </tr>
75 <tr>
76 <td>
77 1. Starts with a short briefing on what we expect from the participant<br>
78 2. Let them fill out the informed consent form<br>
79 3. Tell them their level of stubbornness and reason to leave<br>
80 4. Let the user interact with the robot<br>
81 5. While user is interacting, we will be observing the conversation and the participant's moods <br>
82 6. Let user fill out the questionnaire about their experience after the interaction
83 </td>
84 <td>
85 1. Starts with a short briefing on what we expect from the participant<br>
86 2. Let them fill out the informed consent form<br>
87 3. Tell them their level of stubbornness<br>
88 4. Let the user interact with the robot<br>
89 5. Let user fill out the questionnaire about their experience after the interaction<br>
90 </td>
91 </tr>
92 </table>
93
94 {{/html}}
95
96 == Material ==
97
98 Pepper, laptop, door, and music.
99
100
101 = Results =
102
103 **Results from Questionnaire:**
104
105 1. Condition 1 - intelligent Prototype:
106 8 out of 11 Participants answered, that they don't know the music that has been played. If we told them afterward the title of the song, most participants do know the song. Why didn't they recognize it during the interaction?
107 This can have two reasons: The part of the song we pick was too short to be recognized or not the most significant part of the song. For example, the beginning of "escape - the pina colada song" is not as well known as its chorus. Another reason could be, that the participant was distracted or confused by the robot and therefore couldn't carefully listen to the music.
108 Only 4 out of 11 people agreed, that the music fits the situation. One of our claims, to use music that fits the situation or place, is therefore not reached and the music didn't have the intended effect. Even though we carefully choose the music and discussed a lot about our choice, it was hard to find music that different people connect with a certain place or activity. An approach to improve this could be using an individual playlist for each participant.
109
110
111 **Feedback from Participants:**
112
113 **Observations:**
114 Problems that occurred during the evaluation
115
116 1. lots of difficulties with speech recognition:
117 1.1. even though the participant said one of the expected words, pepper understood it wrong and continued with a wrong path
118 1.2. If the participant started to talk before pepper was listening (eyes turning blue), it misses a "yes" or "no" at the beginning of the sentence, which causes misunderstandings.
119 1. problems with face detection
120 2.1. due to bad light face was not recognized
121 2.2. if the participant passes pepper from the side, the face was not recognized. Therefore, we told people to walk from the front towards pepper. In most cases that helped detect the face.
122 2.3. face detection doesn't work with face masks. This could lead to huge problems in the usage of pepper in care homes.
123
124 One of the most frequent and noticeable reactions from participants was **confusion**. This feeling was caused by two main factors:
125 misunderstandings from speech recognition which leads to unsuitable answers from pepper, as well as the unsuitable environment and setting of our evaluation.
126 The reasons for failure in speech recognition are listed above. An unsuitable answer can e.g. be an argument to stay inside, that doesn't fit the participant's reason to leave. Also, some people told in a long sentence that they don't like the provided activity and still want to leave. If the speech recognition fails in this case and pepper understood you would like to do the activity, it seems like it encourages you to leave, instead of doing the activity. This leads to the total opposite of our intention.
127 Furthermore, we found out, that our prototype doesn't fit in the environment of the lab. We encourage the participant to do some activities, that they can't do in the lab environment (go to the living room, have a coffee or do a puzzle). If the robot tells asks you if you want to do the activity, most people don't know how to react and are insecure about how to answer. Participants "freeze" in front of the robot or just left the room.
128
129
130
131 = Discussion =
132
133
134
135 = Conclusions =