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Version 6.2 by Clara Stiller on 2022/03/25 11:33

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Clara Stiller 2.4 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.
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Clara Stiller 2.5 4
Xin Wan 1.2 5 = Problem statement and research questions =
Clara Stiller 4.1 6
Simran  Karnani 1.4 7 **Goal**: How effective is music and dialogue in preventing people with dementia from wandering?
Bart Vastenhouw 1.1 8
Clara Stiller 2.7 9 **Research Questions (RQ):**
Simran  Karnani 1.4 10
Clara Stiller 4.5 11 1. What percentage of people are prevented from going out unsupervised? (Quantitative)
Clara Stiller 4.4 12 1. How does the interaction change the participant's mood?
13 1. Can the robot respond appropriately to the participant's intention?
Clara Stiller 2.3 14 1. Does the activity that the robot suggests prevent people from wandering/ leaving?
Clara Stiller 2.6 15 1. How do the participants react to the music?
Simran  Karnani 1.4 16
Xin Wan 1.2 17 = Method =
Clara Stiller 4.1 18
Clara Stiller 2.6 19 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.
Bart Vastenhouw 1.1 20
Xin Wan 1.2 21 == Participants ==
Clara Stiller 4.1 22
Clara Stiller 2.7 23 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).
Simran  Karnani 1.8 24 It is assumed that all participants are living at the same care center.
Simran  Karnani 1.9 25 Before they start, they can choose how stubborn they want to be and how progressed their stage of dementia is.
Bart Vastenhouw 1.1 26
Xin Wan 1.2 27 == Experimental design ==
Clara Stiller 4.1 28
Clara Stiller 2.6 29 The first question collects quantitative data, where the number of people who were stopped will be counted.
30 The other RQ's are exploratory research.
Clara Stiller 4.1 31
Clara Stiller 2.6 32 1. Observe the participant's mood and see how the conversation goes. Observe the level of aggression (tone, volume, pace)
33 1. Observe whether the mood is improved and decision has been changed.
Simran  Karnani 1.11 34 1. Observe how natural the conversation is. (conversation makes sense)
Clara Stiller 2.6 35 1. Participants fill out questionnaire.
Bart Vastenhouw 1.1 36
Clara Stiller 4.1 37 == Tasks ==
Clara Stiller 2.6 38
Clara Stiller 2.7 39 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.
40 Participants from group 1 (using intelligent robot) will also be given one of the reasons to leave, listed below:
Clara Stiller 4.1 41
Clara Stiller 2.7 42 1. going to the supermarket
43 1. going to the office
44 1. going for a walk
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Clara Stiller 2.8 46 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.
Bart Vastenhouw 1.1 47
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Xin Wan 1.2 49 == Measures ==
Clara Stiller 4.1 50
Simran  Karnani 1.14 51 We will be measuring this physically and emotionally.
52 Physically: whether the participant was stopped from leaving the building or not.
53 Emotionally: evaluate their responses to the robot and observe their mood before and after the interaction.
Bart Vastenhouw 1.1 54
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Xin Wan 1.2 56 == Procedure ==
Clara Stiller 4.1 57
Clara Stiller 3.1 58 {{html}}
59 <!-- Your HTML code here -->
60 <table width='100%'>
61 <tr>
62 <th width='50%'>Group 1</th>
63 <th width='50%'>Group 2</th>
64 </tr>
65 <tr>
66 <td>intelligent robot</td>
67 <td>unintelligent robot</td>
68 </tr>
69 <tr>
70 <td>
Clara Stiller 4.2 71 1. Starts with a short briefing on what we expect from the participant<br>
72 2. Let them fill out the informed consent form<br>
Clara Stiller 5.2 73 3. Tell them their level of stubbornness and reason to leave<br>
74 4. Let the user interact with the robot<br>
75 5. While user is interacting, we will be observing the conversation and the participant's moods <br>
76 6. Let user fill out the questionnaire about their experience after the interaction
Clara Stiller 3.1 77 </td>
78 <td>
Clara Stiller 4.2 79 1. Starts with a short briefing on what we expect from the participant<br>
80 2. Let them fill out the informed consent form<br>
81 3. Tell them their level of stubbornness<br>
82 4. Let the user interact with the robot<br>
83 5. Let user fill out the questionnaire about their experience after the interaction<br>
Clara Stiller 3.1 84 </td>
85 </tr>
86 </table>
Bart Vastenhouw 1.1 87
Clara Stiller 3.1 88 {{/html}}
Clara Stiller 2.6 89
Xin Wan 1.2 90 == Material ==
Clara Stiller 4.1 91
Simran  Karnani 1.16 92 Pepper, laptop, door, and music.
Bart Vastenhouw 1.1 93
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Xin Wan 1.2 95 = Results =
Clara Stiller 6.2 96
Clara Stiller 5.5 97 **Results from Questionnaire:**
Bart Vastenhouw 1.1 98
Clara Stiller 6.2 99 **Feedback from Participants:**
Bart Vastenhouw 1.1 100
Clara Stiller 6.2 101 **Observations:**
102 Problems that occurred during the evaluation
Bart Vastenhouw 1.1 103
Clara Stiller 6.2 104 1. lots of difficulties with speech recognition:
105 1.1. even though the participant said one of the expected words, pepper understood it wrong and continued with a wrong path
106 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.
107 1. problems with face detection
108 2.1. due to bad light face was not recognized
109 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.
110 2.3. face detection doesn't work with face masks. This could lead to huge problems in the usage of pepper in care homes.
Clara Stiller 5.5 111
Clara Stiller 6.2 112 One of the most frequent and noticeable reactions from participants was **confusion**. This feeling was caused by two main factors: misunderstandings from speech recognition which leads to unsuitable answers from pepper, as well as the unsuitable environment and setting of our evaluation.
113 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.
114 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 this, most people didn't know how to react and were insecure about how to answer. Participants "freeze" in front of the robot or just left the room.
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Xin Wan 1.2 118 = Discussion =
Bart Vastenhouw 1.1 119
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Xin Wan 1.2 122 = Conclusions =