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Last modified by Clara Stiller on 2022/04/05 13:44
From version Icon 4.3 Icon
edited by Clara Stiller
on 2022/03/14 16:41
Change comment: There is no comment for this version
To version Icon 6.2 Icon
edited by Clara Stiller
on 2022/03/25 11:33
Change comment: There is no comment for this version

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8 8  
9 9  **Research Questions (RQ):**
10 10  
11 -1. What percentage of people are kept in? (Quantitative)
12 -1. Can the robot get the participant's mood?
13 -1. Can the robot respond appropriately to the participant's mood?
11 +1. What percentage of people are prevented from going out unsupervised? (Quantitative)
12 +1. How does the interaction change the participant's mood?
13 +1. Can the robot respond appropriately to the participant's intention?
14 14  1. Does the activity that the robot suggests prevent people from wandering/ leaving?
15 15  1. How do the participants react to the music?
16 16  
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70 70  <td>
71 71  1. Starts with a short briefing on what we expect from the participant<br>
72 72  2. Let them fill out the informed consent form<br>
73 -3. Short questionnaire about their background<br>
74 -4. Tell them their level of stubbornness and reason to leave<br>
75 -5. Let the user interact with the robot<br>
76 -6. While user is interacting, we will be observing the conversation and their moods <br>
77 -7. Let user fill out the questionnaire about their experience after the interaction
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
78 78  </td>
79 79  <td>
80 80  1. Starts with a short briefing on what we expect from the participant<br>
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88 88  
89 89  {{/html}}
90 90  
91 -notes:
92 -information of participant/ notes:
90 +== Material ==
93 93  
94 -* reason to leave (provided)
95 -* level of stubbornness (provided)
92 +Pepper, laptop, door, and music.
96 96  
97 -pre - questionnaire:
98 98  
99 -* music?
95 += Results =
100 100  
101 -post - questionnaire:
97 +**Results from Questionnaire:**
102 102  
103 -* mood afterward
104 -* does music remind on activity?
99 +**Feedback from Participants:**
105 105  
106 -== Material ==
101 +**Observations:**
102 +Problems that occurred during the evaluation
107 107  
108 -Pepper, laptop, door, and music.
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.
109 109  
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.
110 110  
111 -= Results =
112 112  
113 113  
114 -
115 115  = Discussion =
116 116  
117 117  
Icon XWiki.XWikiComments[0]
Author
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1 +Anonymous
Comment
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1 +Refer to the claims in the problem statement and research questions.
Date
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1 +2022-03-20 23:34:43.349