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Master thesis presentation
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Engaging Child-Robot Interaction
in a collaborative taskCristina Zaga
Supervisors: Khiet P. Truong, Manja Lohse, Nicu Sebe
14/10/2014
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RQ1
RQ2
RQ3
Research Questions
What kind of interaction style should a robot have to engage
children in a collaborative task?
How does the robot interaction style affect social and task
engagement?
How does the robot interaction style affect the interaction between
the children?
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Mixed method: concurrent embedded strategy
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Conceptual Framework…
Not merely a collection of concept, but a construct in which each concept plays and integral role
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The experimentAn exploration:
The main objective of the experiment is to gather preliminary information that will help
to better define problems and suggest further hypotheses.
As such, the experiment could be defined as having an exploratory nature, and it will hopefully concur to provide some useful
indications for future works
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An overview
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H1
H2
Hypothesis
There will be a significant difference in the social and task
engagement triggered by the two interaction styles
How does the robot interaction style affect social and task
engagement?
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The scenario
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The robot: Nao Robot
Choregraphe
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Interaction styles
Elements of the
interaction style
Tutor Peer
Instrumental
gestures
indicate, explain simulating actions
Emphatic
Gestures
nodding arms in the air
Proximity standing in front
of the children
sitting next to the
children
Reward nodding, spurring
like speech
raising arms, peer
like exulting
Speech maieutic,
reassuring
friendly
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Interaction styles: states design
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An example of script
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From the states to Choregraphe design
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Video
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Task Design
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Task 1: Complete with me
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Task 2:Let’s make a house
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Task 3: Putting the pieces back in the square
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Resulting scenario
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Methodology: WoZ manager
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Means of assessment:
Observations and manual coding (video, audio)
Facial expressionsdetection
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Means of assessment: EDA detection
Q sensor and Q software
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Means of assessment:Questionnaire
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Means of assessment:Questionnaire
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Manipulation check: children
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Manipulation check: teachers
Two videos with the behaviors flow of the
two conditions
Nao robot performs the behaviors facing the
viewer frontally,
like in an experimental session.
Given that the task is not performed
to help the understanding of the flow,
short captions appear on screen providing
a description of the behavior.
The videos are uploaded on the Internet
using the
platform for video streaming Vimeo.
Two mini survey realized with Google
forms.
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Experiment
1 School: Het Zeggelt1 Class: N=26
3 days of experiment13 experimental sessions5 researchers involved
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Experiment set-up
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Experimental sessions
Following the study design, the couples
were organized to be same sex one (i.e.,
boy-boy, girl-girl).
With these two clusters in mind the C1/C2
dyads were randomly formed, six couples
were assigned to the peer condition (N=12)
and other six to the tutor one (N=12).
60% is male and 40% is female. The age
group of the participants span from six to
nine years, with a slight predominance of
participants aged seven years old (45% ).
154’ minutes of audio/visual and EDA data
were recorded.
24 questionnaires were administrated after
the task sessions.
5 separated files of Kinect
Let’s watch some of the videos!
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Data analysis: Questionnaire
• N=20
• IBM SPSS and codebook (Mann Whitney
U / Chi Square)
• 3 items IMI Enjoyment Sub-Scale( CA
0.851)
• 3 Sidner engagement items (Fun, CA 0.813)
• 3 Again and Again table items
• 6 FFQ McGill (CA 0.809)
• 1 ISO (Inclusion of the self item)
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Data analysis: Behavioral Observations
Intercoder agreement: from moderate agreement (Facial expression kappa
0.542, p .000) to good agreement (Gaze kappa 0.730 - p .003, Gesture kappa
0.689 p .000, Talk kappa 0.811, p. 004 collaboration 0.750 p .000 ).
ELAN + SALEM+ SPSS (Test: Man Whitney U / Independent t-test)
Salem thanks to: Hanheide, Lohse, Dierker
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Data analysis: Annotation scheme
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Results :Questionnaire
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Results :QuestionnaireSidner engagement:
Distributions of the Fun scores for tutor condition and peer condition
were not similar, as assessed by visual inspection.
Engagement scores for tutor condition (mean rank = 12.15) and peer condition
(mean rank = 8.5) did not have a significant statistical difference,
U = 66.5, z = -1.265, p = .206.
IMI:
IMI scores for tutor condition (mean rank = 10.30) and peer condition
(mean rank = 10.70) did not have a significant statistical difference,
U = 48.00, z = -154, p = .878
Again Again Table:
A chi-square test for association was conducted between conditions
(robot peer vs. robot tutor)
and willing to do the activity with the robot again. There was not a statistically
significant association between condition and willing
to do the activity with the robot again,
χ 1.053 p=1.00.
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Results :Questionnaire
FFQ McGill:
scores for tutor condition (mean rank = 11.09) and peer condition
(mean rank = 10.09) did not have a significant statistical difference,
U = 55.0, z = .037 p = .075.
The ISO:
score for tutor condition (mean rank = 10.35) and peer condition (mean rank = 10.65)
did not have a significant statistical difference,
U = 48.50, z = -.119, p = 912.
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Results :QuestionnaireHave you ever played with a robot?
Do you have a robot?
anomaly: apparently 70% of the children never played with a
robot before the experiment, but 50% account about having a robot.
It is unclear the reason of this result, but a possible explanation
is that the children had difficulties in understanding the question, despite the support
of the questionnaire manager.
What is the name of your robot? ,
Do you usually play with the robot and your friends?,
Given that you don’t have a robot would you like to have one?
56% of the children left them blank or with words of difficult interpretation.
The rest of the children 44% provide the names of the robot and account
for usually playing with a robot and some friends and 33% of them are willing
to have one.
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Results : cognitive attributes of social –task engagement
Independent T-Test: not a significant difference in the gaze to the robot rate between the
tutor condition (M=5.484,SD=2.111), than in a peer condition (M=6.4002 SD=1.010) ( t=-
.662, df=8 p = .527)
Duration of gaze to robot for tutor condition (mean rank = 384.43) were bot statistically
significantly difference in the tutor condition than in the peer (mean rank = 369.74), U =
68.162, z = 1376 , p = .169)No difference in gaze duration at the robot when the robot was expressing a behavior (U= 30 Z=-.473 p=.636) but gaze to task (U=47 Z= -3977 p. 000)
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Results : behavioral attributes of social –task engagement
Rate of emphatic gesture (mean rank peer= 4.40, tutor= 6.60, U=10, z=.248, p=.310,
Looking at the overlap with the robot behaviors, 86% of the children are directed to
the robot when it greets them.
I tutor condition 36% of times when Nao explain to the child,10% when the robot
rewards the children.
duration of the talk: (mean rank tutor=113.62, mean rank peer=74,51, U=2706, z=-
4.808 p= .000).
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Results : affective attributes of social –task engagement
2% of the children laugh with the robot in the tutor condition, such reaction was
triggered by a robot behavior during the explanation of the Tangram puzzles.
Scowl rates (mean ranks peer=5 tutor=8 ,U= 0.000, z= -2694, p= 0.08)
Duration of the smile (mean rank peer=60.22, mean rank tutor=54.16, U=1,760,
z=.981, p=.327). First task: 62% smile peer, smile tutor 46% .
Duration smile when a robot behavior was occurring in the tutor condition (M=11.57,
SD=6829), than in a peer condition (M=4.21 SD=5.299) ( t=6.435, df=118 p = .000)
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Results :task engagementeffectiveness
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Results :task engagement efficiency
Performance Duration U = 60, z = -2.178, p = .029
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Results :frequent behaviors
Talk: more in the tutor condition (72% ) than in the peer condition (20%). In
the peer condition 80% of the time the talk occurred during the performance
of the task, whereas in the tutor condition 50% of the talk among the
children occurred during the performance, and 38,30% during the
introduction
Collaboration: A Mann- Whitney U test on the duration of collaboration confirms the the distribution of the duration of collaboration is the same in the conditions. (mean rank= 30.70, mean rank= 32.70, U= 398, z=-.736 p=.462)From a qualitative angle, it can be accounted that despite mostly collaborating, some moment of non-collaboration were happening
Gaze: during peer condition 14% of total the gaze annotated is direct to a child, whereas in the tutor condition 19,34%. The gaze between the children overlap in the annotation, signaling mutual gaze both in the peer condition and in the tutor condition for the 19% of the annotation of gaze to the child and for the 2% of the total gaze annotation (peer condition) and the 3% of the tutor condition.
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Results :frequent behaviors
Gaze per phase: 56% of the gaze to the child is directed during the introduction of the task, 21% during the performance and for 22% in the conclusion. In the tutor condition 52% of the gaze to the child is directed during the introduction of the task, 31% during the performance and 13% in the conclusion.
Smile: smile, in the peer condition the 32% of total facial expressions annotated is direct to a child, whereas in the tutor condition the 27%. The smile to the child was directed in the 41% in the introduction, the 21% during the performance and in the 38% during the conclusion in the peer condition. In the tutor condition, the smile to the child was directed in the 62% in the introduction, the 31% during the performance and in the 7% during the conclusion.
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Results :manipulation check
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Results :manipulation check
main factors to declare that the robot is in the tutor condition:
• the more serious style of communication and reward;
• the more essential style of speaking, with a less pitched voice;
• the way to encourage the children is more similar to the one of a tutor;
• the movements are more predictable;
• the style is friendly, detached as a tutor should be;
Peer condition:
• the speech style is similar and appropriate for a child-peer;
• the expressive gestures are typical of exuberant children;
• the encouragement is very affective drive;
• the fact that the robot sit with the children is indicative of equality and it is typical
during shared tasks at school;
• the movements convey enthusiasm;
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Discussion:
QuestionnaireThe children seems equally engaged among conditions, namely they
account for high levels of engagement and they are willing to repeat
the experience with the robot once more. (H1 rejected, no significant
difference RQ1 not fulfilled)
Considerations:
• Answer polarization despite tailored tools
• Survey methods maybe premature for the age group
• Cognitive development not adequate for questionnaires
• Tendency to please
• Difficulty in expression
• Interaction Styles too abstracts to understand
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Discussion:ObservationThe results on the social engagement advance the indication that
the amount and duration of the attributes of engagement are not particularly
affected by the interaction styles (H1 rejected, RQ1).
But some cues like smile to the robot, the talk to the robot and scowl
present significant difference in the duration and rate respectively;
these cues are predominant in the tutor condition,
highlighting a light indication that the tutor style both triggers intensive
affective engagement and, at the same time, negative affective engagement.
The engagement with the task though presents a significant difference between
the duration of the performance, signaling that the children in the tutor condition
Took significantly more to perform the task and the task completion
percentage show that the children were more efficient in the peer condition
(H2 confirmed, RQ2, RQ3).
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Discussion:Observation
Considerations:
One cue at time;
WoZ responsiveness and sensor;
Rate per child, Overlaps and transition matrix;
Novelty effect;
Personality;
Content analysis (e.g., teasing);
Gender;
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To Sum Up
Peer Interaction style
elicits more task
engagement
It is not affected by scowl as
the tutor.
Phenomena of teasing are
not found.
Social attributes of
engagement are mainly the
same with the tutor as
collaboration.
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To Sum Up
The tutor interaction style
elicit less task engagement
It is affected by scowl and
longer smile and talk
probably phenomena of
teasing .
Social attributes of
engagement are mainly the
same with the peer as
collaboration.
The design in general
seems to be the one with
major flows.
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Lesson LearnedUpdate conceptual framework: the definition of engagement hold for the discrimination of social task engagement, but a better specification of the model to apply on the attributes of engagement might be beneficial in further studies.
Robot Interaction style design: low levels behavior, such gaze, gesture, navigation, speech should be taken more in account and a direct control on them might be beneficial.Besides the design, also the exploration of different types of robot more able to be collaborative in the task might enhance both engagement and the research in engaging robot behaviors.
Survey methods with children: When surveying children, special attention should be paid to questionnaire construction, and questionnaires should be thoroughly pretested. Possible new tools or methodologies could be taken into account
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Thank you!