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Can We Keep Him Forever? Teens’ Engagement and Desire for Emotional Connection with a Social Robot

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Today’s teens will most likely be the first generation to spend a lifetime living and interacting with both mechanical and social robots. Although human–robot interaction has been explored in children, adults, and seniors, examination of teen–robot interaction has been limited. In this paper, we provide evidence that teen–robot interaction is a unique area of inquiry and designing for teens is categorically different from other types of human–robot interaction. Using human-centered design, our team is developing a social robot to gather stress and mood data from teens in a public high school. To better understand teen–robot interaction, we conducted an interaction study in the wild to explore and capture teens’ interactions with a low-fidelity social robot prototype. Then, through group interviews we gathered data regarding their perceptions about social robots. Although we anticipated minimal engagement due to the low fidelity of our prototype, teens showed strong engagement and lengthy interactions. Additionally, teens expressed thoughtful articulations of how a social robot could be emotionally supportive. We conclude the paper by discussing future areas for consideration when designing for teen–robot interaction.
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International Journal of Social Robotics (2020) 12:65–77
https://doi.org/10.1007/s12369-019-00539-6
Can We Keep Him Forever? Teens’ Engagement andDesire
forEmotional Connection withaSocial Robot
ElinA.Björling1 · EmmaRose2 · AndrewDavidson1· RachelRen1· DorothyWong1
Accepted: 1 March 2019 / Published online: 14 March 2019
© Springer Nature B.V. 2019
Abstract
Today’s teens will most likely be the first generation to spend a lifetime living and interacting with both mechanical and
social robots. Although human–robot interaction has been explored in children, adults, and seniors, examination of teen–robot
interaction has been limited. In this paper, we provide evidence that teen–robot interaction is a unique area of inquiry and
designing for teens is categorically different from other types of human–robot interaction. Using human-centered design, our
team is developing a social robot to gather stress and mood data from teens in a public high school. To better understand teen–
robot interaction, we conducted an interaction study in the wild to explore and capture teens’ interactions with a low-fidelity
social robot prototype. Then, through group interviews we gathered data regarding their perceptions about social robots.
Although we anticipated minimal engagement due to the low fidelity of our prototype, teens showed strong engagement
and lengthy interactions. Additionally, teens expressed thoughtful articulations of how a social robot could be emotionally
supportive. We conclude the paper by discussing future areas for consideration when designing for teen–robot interaction.
Keywords Teen–robot interaction· Engagement· Prototype· Human-centered design
1 Introduction
Many North American adolescents have been surrounded
by technology since birth. And, their relationships with
current technology are unlike previous generations [1] as
much of their communication is now digital [2, 3]. Despite
teens’ strong relationship with technology, they remain a
fairly underexplored population when it comes to technology
interaction and design. Adults have always been the primary
focus of design in Human Computer Interaction (HCI). It
was not until the late 1990s that children became a focus in
the budding field of Child-Computer Interaction [4]. How-
ever, researchers in this field focused primarily on children
10 and under, still overlooking teen users. It wasn’t until the
new millennium that researchers began focusing on teens as
a unique population in technology [4].
Similar to HCI, teenagers are an audience that is over-
looked inhuman–robot interaction (HRI). While there is
a great deal of research in HRI related to children [57],
adults [8, 9] and seniors [10, 11], few studies have explicitly
explored interactions between teens and robots. Social robots
have been found to be effective with vulnerable populations
such as children with autism [6, 7, 12], adults suffering from
trauma [8], to reduce loneliness [13] and depression [14].
Teens are also a unique and vulnerable population due to
depression [15, 16] and stress [17, 18].Given teens’ already
existing relationships with technology, social robotics seems
a worthwhile exploration in an effort to provide support for
this vulnerable population.
Project EMAR is an interdisciplinary, participatory,
human-centered design project to design and deploy a
social robot that captures stress and mood levels from teens
in a school setting while simultaneously providing a micro-
interaction to address stress. The Ecological Momentary
* Elin A. Björling
bjorling@uw.edu
Emma Rose
ejrose@uw.edu
Andrew Davidson
adavid7@uw.edu
Rachel Ren
rachren@uw.edu
Dorothy Wong
dwong51@uw.edu
1 University ofWashington, Seattle, USA
2 University ofWashington Tacoma, Tacoma, USA
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... The study was conducted on 45 high school students who were asked to interact with the robot. This led to interesting results categorised into empathy and anthropomorphising related to participant comfort and emotional attachment to the robot [5]. This bears relevance for Computer-Supported Cooperative Work (CSCW) research, exploring supportive platforms for self-disclosure, such as HIV status disclosure using the hookup app Grindr [71] or online forums as a mediating resource for male fertility issues [56]. ...
... We make our vignettes available in the preregistration. 5 ...
... We preregistered our experimental design using OSF. 5 ...
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... Many students face stress and depression [6]. The student's stress level has been linked to physical and mental illness and might drag down the students' learning [6]. ...
... Many students face stress and depression [6]. The student's stress level has been linked to physical and mental illness and might drag down the students' learning [6]. ...
... However, the student's academic environment has been one of the biggest stress factors, with the exam period as the biggest factor [6,7]. Some students say they feel happier, more relaxed, less exhausted, and less bored after a brief encounter with a social robot as a companion [8]. ...
... Connecting with a robot can reduce mental and emotional distress [41,42], and robust emotional capabilities are being prioritized in social robot development [14,35]. Our participants voiced that they would feel comfortable expressing themselves emotionally to a social robot, consistent with others [43]. Participants noted that a robot can serve as a non-judgmental figure by not reacting in the same way a person might. ...
... Collaborative enquiry leads to unique insights, incorporating children as active designers of the end product [51]. Co-creation or participatory design has been emphasized as an effective method to facilitate engagement with children, a platform to offer ageappropriate discovery of technology, and an opportunity for children to express their own perspectives [43,51,52]. We emphasized co-creation from the conception of this study by collaborating with a panel of lived experience experts. ...
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... In this context, it has been shown how participatory methods facilitate, on the one hand, the development of existing robotic applications and platforms and, on the other hand, the emergence of new common platforms and a greater sensitivity towards a greater contextualization of these machines (Björling et al., 2020). ...
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Today's teens will most likely be the first generation to spend a lifetime living and interacting with both mechanical and social robots. Although human-robot interaction has been explored in children, adults, and seniors, examination of teen-robot interaction has been minimal. Using human-centered design, our team is developing a social robot to gather stress and mood data from teens in a public high school. As part of our preliminary design stage, we conducted a interaction pilot study in the wild to explore and capture teens' initial interactions with a low-fidelity social robot prototype. We observed strong engagement and expressions of empathy from teens during our qualitative, interaction studies.
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Background Web-based cognitive-behavioral therapeutic (CBT) apps have demonstrated efficacy but are characterized by poor adherence. Conversational agents may offer a convenient, engaging way of getting support at any time. Objective The objective of the study was to determine the feasibility, acceptability, and preliminary efficacy of a fully automated conversational agent to deliver a self-help program for college students who self-identify as having symptoms of anxiety and depression. Methods In an unblinded trial, 70 individuals age 18-28 years were recruited online from a university community social media site and were randomized to receive either 2 weeks (up to 20 sessions) of self-help content derived from CBT principles in a conversational format with a text-based conversational agent (Woebot) (n=34) or were directed to the National Institute of Mental Health ebook, “Depression in College Students,” as an information-only control group (n=36). All participants completed Web-based versions of the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Generalized Anxiety Disorder scale (GAD-7), and the Positive and Negative Affect Scale at baseline and 2-3 weeks later (T2). Results Participants were on average 22.2 years old (SD 2.33), 67% female (47/70), mostly non-Hispanic (93%, 54/58), and Caucasian (79%, 46/58). Participants in the Woebot group engaged with the conversational agent an average of 12.14 (SD 2.23) times over the study period. No significant differences existed between the groups at baseline, and 83% (58/70) of participants provided data at T2 (17% attrition). Intent-to-treat univariate analysis of covariance revealed a significant group difference on depression such that those in the Woebot group significantly reduced their symptoms of depression over the study period as measured by the PHQ-9 (F=6.47; P=.01) while those in the information control group did not. In an analysis of completers, participants in both groups significantly reduced anxiety as measured by the GAD-7 (F1,54= 9.24; P=.004). Participants’ comments suggest that process factors were more influential on their acceptability of the program than content factors mirroring traditional therapy. Conclusions Conversational agents appear to be a feasible, engaging, and effective way to deliver CBT.
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Teen Computer Interaction is concerned with the design, evaluation and implementation of technologies for teenagers and with the study of major phenomena surrounding them. It aims to give special consideration to the unique development issues and diversity of this particular user group. Teenagers are possibly the most diverse, dynamic and technologically-aware user group. Working with teenagers can enable researchers to gather valuable insights and opportunities to inform the design and implementation of new technologies. Researchers have now begun to acknowledge that Teen Computer Interaction is a specialised area of HCI and this book brings together some of the best work in this field to-date. The book provides relevant HCI communities with an inclusive account of methods and examples of best practise to inform those working with teenagers in research and design projects. The chapters recount research with teenagers in many different domains and provide many different contributions to the field of Teen Computer Interaction including design methods, models, case studies and ethical considerations. The aim of this book is to provide a solid foundation from which the discipline of Teen Computer Interaction can grow, by providing a valuable resource for those wishing to conduct HCI research with teenagers. Perspectives on HCI Research with Teenagers is aimed at academics, practitioners, designers, researchers and students who are interested in the new and emergent field of Teen Computer Interaction.
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Adults have long been considered in detail in the Human Computer Interaction (HCI) community and children within the Child-Computer Interaction (CCI) community. However, teenagers (adolescents) have received far less specific consideration within the HCI and CCI areas (Fitton and Bell 2014; Fitton et al. 2013a). Teenagers are possibility the most diverse, dynamic, exciting, and technologically-aware user groups that will soon become be the next generation of adults. Working with teenagers can enable researchers to gather valuable insights and opportunities to inform the creation of new technologies. Researchers have now begun to explore this new and emerging area of Teen-Computer Interaction (TeenCI) and this book brings together some of the best work in this field to-date. The book provides the HCI and CCI communities with an inclusive account of methods and examples of best practise to inform those working with teenagers in technology contexts. The chapters recount research with teenagers in many different domains and provide many different contributions to the field of TeenCI including design methods, models, case studies and ethical consideration important for working with this user group. The aim of this book is to provide a solid foundation from which the TeenCI research area can grow alongside providing a valuable resource for those wishing to conduct HCI research with teenagers.
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