Reducing Stress by Bonding with a Social Robot
Towards Autonomous Long-Term Child-Robot Interaction
Mike Ligthart
Delft University of Technology
The Netherlands
m.e.u.ligthart@tudelft.nl
Koen Hindriks
Delft University of Technology
The Netherlands
k.v.hindriks@tudelft.nl
Mark A. Neerincx
Delft University of Technology &
TNO Soesterberg
The Netherlands
mark.neerincx@tno.nl
ABSTRACT
Pediatric oncology patients could beneft from bonding with a social
robot and talking about their day in the hospital. With our research
we aim to contribute to the development of a robot that is able
to facilitate a child-robot bond autonomously and long-term. We
propose to use robot-disclosure and a shared interaction history
to create a child-robot bond where the child feels comfortable and
familiar enough to talk about their day with the robot.
ACM Reference Format:
Mike Ligthart, Koen Hindriks, and Mark A. Neerincx. 2018. Reducing Stress
by Bonding with a Social Robot: Towards Autonomous Long-Term Child-
Robot Interaction. In HRI ’18 Companion: 2018 ACM/IEEE International Con-
ference on Human-Robot Interaction Companion, March 5–8, 2018, Chicago,
IL, USA. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3173386.
3176904
1 MOTIVATION
Cancer is one of the most profound health threats in modern society.
Treatments are often extensive and life changing especially for
children and their families. Providing social support to prevent late
adverse efects, such as post-traumatic stress, is an important part
of the treatment process [7].
Social robots could prove to be a useful tool for child-life special-
ists to ofer social support, especially when human presence is not
possible, e.g. during radiation treatment. The frst research into us-
ing social robots as a companion to reduce stress during treatment
shows promising results. Hospitalized children are for example
more eager to emotionally connect with a robot than a virtual char-
acter [6]. Using a Nao robot to assist a psychotherapist resulted in
a signifcant lower amount of stress for pediatric oncology patients
than after a therapy session with just the psychotherapist [1].
It is important to note that these studies, just like many other
human-robot interaction (HRI) and child-robot interaction (CRI)
studies, are based on a one-time interaction with a Wizard of Oz
(WoZ) set-up. With the proposed research we aim to work towards
a system that can overcome the challenges of long-term [3] and
autonomous [4] CRI.
One of our goals is for children to form a bond and chat about
their day with the robot over multiple interaction.
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on the frst page. Copyrights for third-party components of this work must be honored.
For all other uses, contact the owner/author(s).
HRI ’18 Companion, March 5–8, 2018, Chicago, IL, USA
© 2018 Copyright held by the owner/author(s).
ACM ISBN 978-1-4503-5615-2/18/03.
https://doi.org/10.1145/3173386.3176904
2 PROPOSED RESEARCH AND RELATED
WORK
Talking about the day and chit-chatting with the robot serves multi-
ple purposes. It has the potential to contribute to the social support
strategies currently in place [7] and it is the social glue between
other activities with the robot [5]. In this research abstract we pri-
marily focus on the technical and evaluation side. For an ethical
and co-design perspective please consult [9].
The question is how to shape the conversational behavior of
the robot. In Social Penetration Theory (SPT) the metaphor of a
layered union is often used to describe a person. Forming a bond
happens by penetrating the layers step by step by sharing bits of
personal information with each other [2]. In order for children to
feel comfortable enough to share their experiences with the robot
a bond needs to be created. A bond that only can be formed if the
robot self-discloses as well [5].
This process spans multiple interactions. Creating a sense of
familiarity is essential to maintain a child-robot bond [8].
2.1 Mutual Self-Disclosure
When children are incited to self-disclose personal information they
view the robot more as a friend and are more willing to interact
with the robot again [8]. When the robot self-discloses personal
information the children feel more inclined to do the same, the
social infuence of the robot is stronger and the children appreciate
the robot more [10].
We propose to create an elaborate narrative for the robot where
it has a personality, a role, a ftting backstory and an extensive
repertoire of anecdotes, dialogues and short personal stories. This
narrative will be tailored, e.g. in terms of used language and themes,
in advance to the developmental states of children. For example, a
more witty robot for older children. Content from the repertoire
will be selected dynamically based on the (emotional) state of the
children and the interaction history (see next subsection). This is
our implementation of robot-disclosure that should allow children
to share about their day reciprocally.
To manage the dialogue between the children and the robot we
will introduce the robot as a chitchat robot in training: łit will make
mistakes and it will not understand you all the time but it likes to
learnž. Together with a tutorial on how to communicate with the
robot, we call this ‘getting acquainted’, we intent to set the right
expectations.
We opt for a tablet supported dialogue, where questions are for-
mulated following a recognizable structure. Children will practice
to answer in a certain way to łhelp the robot understandž. This way
we can constrain the conversation up to a level where autonomous
Session: Pioneering Workshop HRI’18 Companion, March 5-8, 2018, Chicago, IL, USA
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