Changes for page Test

Last modified by Clara Stiller on 2022/04/05 13:44

From 51.1 to 50.1 From 62.1 to 61.1

From version

61.1

edited by Vishruty Mittal
on 2022/04/02 12:26

Change comment: There is no comment for this version

To version

51.1

edited by Clara Stiller
on 2022/03/27 15:47

Change comment: Upload new image "Stay_inside.svg", version 1.1

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- XWiki.XWikiComments[1]
- XWiki.XWikiComments[2]

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Author

@@ -1,1 +1,1 @@
--XWiki.Vishruty
++XWiki.ClaraStiller

Content

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--Evaluation is an iterative process where the initial iterations focus on examining if the proposed idea is working as intended. Therefore, we want to first understand how realistic and convincing the provided dialogues and suggested activities are, and would they be able to prevent people from wandering. To examine this, we conduct a small pilot study with students, who role-play having dementia. We then observe their interaction with Pepper to examine the effectiveness of our dialog flow in preventing people from wandering.
++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 people with dementia start wandering. That is out of scoop for our project.
++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.
  = Problem statement and research questions =
@@ -23,16 +23,11 @@
  = Method =
--A between-subject study with students who play the role of having dementia. Data will be collected with a questionnaire that participants fill out before and after interacting with Pepper. The questionnaire captures different aspects of the conversation along with their mood before and after the interaction with Pepper.
++A between-subject study with students who play the role of having dementia. Data will be collected with a questionnaire (before and after participation), observing the participant's body language and the way that they're responding to Pepper.
--For our between-subject study, our independent variable is Pepper trying to distract the users by mentioning different activities along with the corresponding music. Through this, we want to measure the effectiveness of music and activities in preventing people from leaving the care home, which is thereby our dependent variable. So we developed 2 different prototype designs-
--
--Design X - It is the full interaction flow where Pepper suggests activities and uses music to distract people from leaving.
--Design Y - It is the control condition where pepper simply tries to stop people from leaving by physically keeping its hand on the door.
--
  == Participants ==
--17 students who play the role of having dementia. They will be divided into two groups. One group (11 participants) will be interacting with the intelligent (group 1) robot while the other group (6 students) will interact with the unintelligent robot (group 2).
++18 students who play the role of having dementia. They will be divided into two groups. One group (11 participants) will be interacting with the intelligent (group 1) robot while the other group (7 students) will interact with the unintelligent robot (group 2).
  It is assumed that all participants are living at the same care center.
  Before they start, they can choose how stubborn they want to be and where they want to go.
@@ -103,28 +103,9 @@
  Pepper, laptop, door, and music.
++
  = Results =
--{{html}}
--<!--=== Comparison between intelligent (cond. 1) and less intelligent (cond. 2) prototype ===
--
--{{html}}
--<img src="/xwiki/wiki/sce2022group05/download/Test/WebHome/Stay_inside.svg" width="500" height="270" />
--{{/html}}
--
--Non of the participants who interacted with the less intelligent robot was prevented from leaving. Still, 3 people assigned to condition 1 weren't convinced to stay inside. A failure rate of 27,3 % is too high for this application since people could be in danger if the system fails.
--
--**Mood evolution**
--[[image:mood_only.png||height="150"]]
--
--{{html}}<img src="/xwiki/wiki/sce2022group05/download/Test/WebHome/mood_before.svg" width="500" height="270" /><br>
--<img src="/xwiki/wiki/sce2022group05/download/Test/WebHome/mood_after.svg" width="500" height="270" /><br>{{/html}}
--
--Regarding the changes in mood, 4 out of 11 participants assigned to condition 1 had an increase in mood throughout the interaction. Only one participant felt less happy afterward, the rest stayed at the same level of happiness. The overall mood shifted to happier in general (as you can see in the graphic above), even though only small improvements in mood were detected (<= 2 steps on the scale).
--The participants from condition 2 mostly stayed at the same mood level, 2 were less happy, one participant was happier afterward. Comparing both conditions it becomes clear, that condition 1 had a more positive impact on the participant's mood.
--
--Interesting is also, none of the participants was in a really bad mood at the beginning or end.
--
  ==== Condition 1 - intelligent Prototype: ====
  {{html}}
@@ -141,10 +141,29 @@
  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.
++
  ==== Condition 2 - less intelligent prototype: ====
--Participants assigned to condition 2 weren't convinced to leave. We saw, that most of them tried to continue talking to pepper when it raises its arm to block the door, even though it didn't listen. They were surprised by peppers reaction and asked for a reason why they are not allowed to leave. In order to have a natural conversation flow, the robot should provide an explanation for each scenario that tells why the person is not allowed to leave. This confirms that our approach, to give reason to stay inside, might be helpful to convince PwD to stay inside.
++Participants assigned to condition 2 weren't convinced to leave. We saw, that most of them tried to continue talking to pepper when it raises its arm to block the door, even though it didn't listen. They were surprised by peppers reaction and asked for a reason why they are not allowed to leave. In order to have a natural conversation flow, the robot should provide an explanation for each scenario that tells why the person is not allowed to leave. This confirms that our approach, to give reason to stay inside, might be helpful to convince PwD to stay inside.
++=== Comparison between intelligent (cond. 1) and less intelligent (cond. 2) prototype ===
++
++{{html}}
++<img src="/xwiki/wiki/sce2022group05/download/Test/WebHome/Stay_inside.svg" width="500" height="270" />
++{{/html}}
++
++Non of the participants who interacted with the less intelligent robot was prevented from leaving. Still, 3 people assigned to condition 1 weren't convinced to stay inside. A failure rate of 27,3 % is too high for this application since people could be in danger if the system fails.
++
++**Mood evolution**
++[[image:mood_only.png||height="200"]]
++
++{{html}}<img src="/xwiki/wiki/sce2022group05/download/Test/WebHome/mood_before.svg" width="500" height="270" /><br>
++<img src="/xwiki/wiki/sce2022group05/download/Test/WebHome/mood_after.svg" width="500" height="270" /><br>{{/html}}
++Regarding the changes in mood, 4 out of 11 participants assigned to condition 1 had an increase in mood throughout the interaction. Only one participant felt less happy afterward, the rest stayed at the same level of happiness. The overall mood shifted to happier in general (as you can see in the graphic above), even though only small improvements in mood were detected (<= 2 steps on the scale).
++The participants from condition 2 mostly stayed at the same mood level, 2 were less happy, one participant was happier afterward. Comparing both conditions it becomes clear, that condition 1 had a more positive impact on the participant's mood.
++
++Interesting is also, non of the participants was in a really bad mood at the beginning or end.
++
  === Problems that occurred during the evaluation ===
 . lots of difficulties with speech recognition:
@@ -158,136 +158,21 @@
  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.
  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.
--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. -->
--{{/html}}
++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.
--=== RQ1: Are people convinced not to go out unsupervised? ===
--{{html}}
--<table style="width: 100%">
--<tr>
--<td style="width: 50%">
--<img src="/xwiki/wiki/sce2022group05/download/Foundation/Operational%20Demands/Personas/WebHome/RQ1.jpg?height=250&rev=1.1" />
--</td>
--<td>
--Comment on the graph
--</td>
--</tr>
--</table>
--{{/html}}
--=== RQ2: How does the interaction change the participant's mood? ===
++= Discussion =
--{{html}}
--<table style="width: 100%">
--<tr>
--<td style="width: 50%">
--<img src="/xwiki/wiki/sce2022group05/download/Foundation/Operational%20Demands/Personas/WebHome/RQ2.jpg?height=250&rev=1.1" />
--</td>
--<td>
--Comment on the graph
--</td>
--</tr>
--</table>
--{{/html}}
--=== RQ3: Can the robot respond appropriately to the participant's intention? ===
--{{html}}
--<table style="width: 100%">
--<tr>
--<td style="width: 50%">
--<img src="/xwiki/wiki/sce2022group05/download/Foundation/Operational%20Demands/Personas/WebHome/RQ3.jpg?height=250&rev=1.1" />
--</td>
--<td>
--Comment on the graph
--</td>
--</tr>
--</table>
--{{/html}}
--=== RQ4: How do the participants react to the music? ===
--{{html}}
--<table style="width: 100%">
--<tr>
--<td style="width: 50%">
--<img src="/xwiki/wiki/sce2022group05/download/Foundation/Operational%20Demands/Personas/WebHome/RQ4.jpg?height=250&rev=1.1" />
--</td>
--<td>
--Comment on the graph
--</td>
--</tr>
--</table>
--{{/html}}
--=== RQ5: Does the activity that the robot suggests prevent people from wandering/ leaving? ===
--
--{{html}}
--<table style="width: 100%">
--<tr>
--<td style="width: 50%">
--<img src="/xwiki/wiki/sce2022group05/download/Foundation/Operational%20Demands/Personas/WebHome/RQ5.jpg?height=250&rev=1.1" />
--</td>
--<td>
--Comment on the graph
--</td>
--</tr>
--</table>
--{{/html}}
--
--=== RQ6: Can pepper identify and catch the attention of the PwD? ===
--
--{{html}}
--<table style="width: 100%">
--<tr>
--<td style="width: 50%">
--<img src="/xwiki/wiki/sce2022group05/download/Foundation/Operational%20Demands/Personas/WebHome/RQ6.jpg?height=250&rev=1.1" />
--</td>
--<td>
--Comment on the graph
--</td>
--</tr>
--</table>
--{{/html}}
--
--=== Reliabity Scores ===
--
--{{html}}
--<table style="width: 100%">
--<tr>
--<td style="width: 50%">
--<img src="/xwiki/wiki/sce2022group05/download/Foundation/Operational%20Demands/Personas/WebHome/RelScores.jpg?height=250&rev=1.1" />
--</td>
--<td>
--Comment on the graph
--</td>
--</tr>
--</table>
--{{/html}}
--
--= Limitation =
--
--* **Lab Environment**: The lab environment is different from a care home, the participants found it difficult to process the suggestions made by Pepper. For example, if Pepper asked someone to visit the living room, it created confusion among the participants regarding their next action.
--
--* **Role-Playing**: Participants for the experiment are not actual patients suffering from dementia. Hence it is naturally difficult for them to enact the situations and replicate the mental state of an actual person suffering from dementia.
--
--* **Speech Recognition**: The speech recognition module inside Pepper is not perfect. Therefore, in certain cases, Pepper misinterpreted words spoken by the participants and triggered an erroneous dialogue flow. The problems commonly occurred with words that sound similar such as "work" and "walk". Moreover, there are some additional hardware limitations that hampered the efficiency of the speech recognition system. One prominent issue is that the microphone within Pepper is only active when the speaker is turned off. A blue light in the eye of Pepper indicated the operation of the microphone. Since most of the participants are not used to interacting with Pepper found it difficult to keep this limitation in mind while trying to have a natural conversation.
--
--* **Face Detection**: The face recognition module within Pepper is also rudimentary in nature. It can not detect half faces are when participants approach from the side. Adding to the problem, the lighting condition in the lab was not sufficient for the reliable functioning of the face recognition module. Hence Pepper failed to notice the participant in some cases and did not start the dialogue flow.
--
  = Conclusions =
--* People who liked the activity tend to stay in
--* People who knew the music found it more fitting
--* People are more convinced to stay in with the intelligent prototype
--* Cannot conclude whether moods were improved
--* Need to experiment with the actual target user group to derive on concrete conclusion
--* Experiment with personalization
++just some notes...
--= Future Work =
--
--* **Personalisation**: Personalize music, and activity preferences according to the person interacting with Pepper.
--* **Robot Collaboration**: Collaborate with other robots such as Miro to assist a person with dementia while going for a walk instead of the caretaker.
--* **Recognise Person**: For a personalised experience, it is essential that Pepper is able to identify each person based on an internal database.
--* **Fine Tune Speech Recognition**: Improvements are necessary for the speech recognition module before the actual deployment of the project in a care home. Additionally, support for multiple languages can be considered to engage with non-English speaking people.
++* Evaluation is not significant enough to answer our main question/ goal, due to many issues with speech reco and misunderstandings
++* difference in effectiveness between cond 1 and cond 2, but not in all cases
++* Confusion + waiting for the robot to listen -> bad for PwD, because they are already confused and might not remember to wait for the eyes to turn blue

XWiki.XWikiComments[1]

Comment

@@ -1,1 +1,1 @@
--Add claim number with RQ6 once claims are fixed back
++Modified Research Questions so that they align with claims

Date

@@ -1,1 +1,1 @@
--2022-04-02 11:44:44.339
++2022-03-26 13:50:45.49

XWiki.XWikiComments[2]

Author

...	...	@@ -1,1 +1,0 @@
1		-XWiki.Vishruty

Comment

...	...	@@ -1,1 +1,0 @@
1		-Check if RQ and claims align with each other(CL numbers) once claims are reverted.

Date

...	...	@@ -1,1 +1,0 @@
1		-2022-04-02 11:45:38.960