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    <journal-meta>
      <journal-title-group>
        <journal-title>Eindhoven, The Netherlands
*Corresponding author.
nprandal@iu.edu (N. Randall)</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Living Each Day with Intention: Social Robot for Promoting Self-Reflection in Older Adults</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Natasha Randall</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tanya Saga</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Shinichi Nagata</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Waki Kamino</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Katherine M. Tsui</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Selma Sabanovic</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Indiana University</institution>
          ,
          <addr-line>Bloomington IN</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Toyota Research Institute Cambridge</institution>
          ,
          <addr-line>MA</addr-line>
          <country country="US">USA</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Tsukuba University</institution>
          ,
          <addr-line>Tsukuba</addr-line>
          ,
          <country country="JP">Japan</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0003</lpage>
      <abstract>
        <p>Social robots are unique as persuasive agents due to their embodiment, which increases their capacity to promote behavioral and motivational change [3],[4]. We therefore designed an interaction between a humanoid social desktop robot - QT (Fig. 1) - and older adults aimed at promoting positive life changes through guided self-reflective exercises. We focus on older adults as while much work has focused on using robots with this population to ameliorate loneliness and depressive symptoms through interactions with the technology (e.g., [2]), few studies have focused on using robots to increase feelings of fulfillment, value, and meaning in helping older adults thrive (and not just cope). However, research done with college students shows that robots can be used in positive psychology interventions to increase flourishing [1].</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Social robots</kwd>
        <kwd>older-adults</kwd>
        <kwd>self-persuasion</kwd>
        <kwd>self-reflection 1</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
    </sec>
    <sec id="sec-2">
      <title>2. Project Summary</title>
      <p>We created several modules, delivered by QT, which were designed to help older adults in Japan
reflect on their lives. Our intent was to develop these for use in increasing their well-being and
life satisfaction by highlighting positive experiences in their lives and having them contemplate
possible changes to it. Each module was approximately 5 minutes. After each module and at the
end of the interaction, OAs were interviewed about their experience of the interaction as well as
self-reported changes in sense of happiness, sense of meaning, and desire to make positive
changes.</p>
      <p>Fifteen older adults interacted with the robot, either in single-family homes or in a conference
room at a local university. One of these modules - presented here - was specifically designed to
have older adults reflect on how they could make small changes in order to meet short-term
(3day and 1 month) goals.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Iteration on Interaction Design</title>
      <p>Inductive coding of interviews revealed that participants believed the interaction could
improve their lives. Thirteen participants not only saw the exercises as useful, they also noted the
atypical nature of self-reflecting on their lives. “Meaning of life and the like, it made me think
about myself. I never really thought about the future like this, I was just stuck in the daily routine.
It gave me time to think about myself” [P6]. Of the 15 participants, 7 noted positive changes to
perceived happiness and 6 to their sense of meaning after this future oriented module.
Additionally, 6 participants had an increased desire to make positive changes to their lives
afterwards, indicating that the robot may have utility in spurring behavioral change. They saw QT
as being advantageous over an app or computer (N=11), due to the conversational interface
(N=5), facial expressiveness of QT (N=4), and their increased sense of emotion closeness to it
(N=3).</p>
      <p>Participants wanted this to be daily exercise (N=8) to help them plan their day. They felt like this
would help them live more intentionally. “Rather than just living every day, I want to live more
distinctly” [P5]. Older adults also wanted the robot to use simpler language and allow them more
time to speak (more open-ended and follow-up questions). We present iterative changes to
selected lines of the script below (v2) (Figure 2). 2</p>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusion</title>
      <p>This research is an important first step in designing a social robot to affect small daily changes in
the lives of older adults through self-persuasion. Our next steps include further developing and
testing a second iteration of these self-reflection modules, and testing for subjective and objective
changes in life satisfaction and well-being after several weeks of continuous use.</p>
      <p>Jeong, Sooyeon, Laura Aymerich-Franch, Kika Arias, Sharifa Alghowinem, AgataLapedriza,
Rosalind Picard, Hae Won Park, and Cynthia Breazeal. “Deploying a robotic positive
psychology coach to improve college students’ psychological wellbeing.” User Modeling
and User-Adapted Interaction (2022): 1-45.</p>
      <p>Gasteiger, Norina, Kate Loveys, Mikaela Law, and Elizabeth Broadbent. “Friendsfrom the
future: a scoping review of research into robots and computer agents to combat loneliness
in older people.” Clinical interventions in aging (2021): 941-971.
* Supported by Toyota Research Institute.</p>
      <p>Bainbridge, Wilma A., Justin W. Hart, Elizabeth S. Kim, and Brian Scassellati.“The benefits
of interactions with physically present robots over video-displayed agents.” International
Journal of Social Robotics 3 (2011): 41-52.</p>
      <p>Mann, Jordan A., Bruce A. MacDonald, I-Han Kuo, Xingyan Li, and ElizabethBroadbent.
“People respond better to robots than computer tablets delivering healthcare
instructions.” Computers in Human Behavior 43 (2015): 112-117.</p>
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