<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Personalizing Persuasive Technologies Workshop 2020</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Rita Orji</string-name>
          <email>1rita.orji@dal.ca</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jaap Ham</string-name>
          <email>2j.r.c.ham@tue.nl</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Kiemute Oyibo</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Joshua Nwokeji</string-name>
          <email>4nwokeji001@gannon.edu</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oladapo Oyebode</string-name>
          <email>5oladapo.oyebode@dal.ca</email>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Gannon University</institution>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <fpage>17</fpage>
      <lpage>21</lpage>
      <abstract>
        <p>Research has shown that personalizing persuasive technologies can increase their effectiveness and potentially leads to sustained behavioral change. Building on the success of the workshop in the past four years which attracted 100s of participants from over 20 different countries and led to a special issue, this year's workshop will further advance the research area by addressing outstanding challenges and opportunities identified during the previous workshops and developing a new focus areas for the field. The workshop aims to connect a diverse group of researchers and practitioners interested in personalization and tailoring of persuasive technologies. Attendees are encouraged to share their experiences, ideas, discuss key challenges facing the area, and discuss how to move the field forward. The workshop will cover broad areas of personalization and tailoring, including but not limited to personalization models, computational personalization, design and evaluation methods, and personalized persuasive technologies. We welcome submissions and ideas from any domain of persuasive technology and HCI including, but not limited to health, sustainability, games, safety and security, marketing, eCommerce, entertainment, and education. Workshop papers and ideas will be archived online to be accessible to the general public.</p>
      </abstract>
      <kwd-group>
        <kwd>Personalization</kwd>
        <kwd>tailoring</kwd>
        <kwd>persuasive technology</kwd>
        <kwd>captology</kwd>
        <kwd>persuasion</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Research in the area of Persuasive Technology (PT) and Behavior Change have
advanced over the years attracting increasing interest from both practitioner and
researchers due to the increasing realization of the importance of work in this area.
Nevertheless, the research area still faces a number of scientific challenges that
present great opportunities for advancing research in this field. One of the most
significant of these challenges is the issue of personalizing persuasive technologies.
Personalizing persuasive technologies is the act of tailoring persuasive technologies to
the target audience to increase their relevance, motivational appeal, and hence their
overall effectiveness.</p>
      <p>Although recent research has shown that personalizing persuasive systems can indeed
increase their efficacy at motivating the desired behavior change [1–4] and that a
persuasive approach that works well with one group of people may demotivate a
different group [2, 5], there is little knowledge on how persuasive technologies can
best be tailored. Currently effective general insights and methods for personalization
are lacking, we do not have the (technological) tools at our disposal that allow us to
use the wide range of data that originates from many persuasive technology
applications to tailor the user interaction, and we lack long-term evaluations of
personalization efforts. Hence, while personalization of PT and BCSS is clearly
promising, the field is still in its infancy and highly benefits from active,
interdisciplinary and open workshops and discussion; precisely the workshop we have
organized in previous years and aim to support once again during this year’s
Persuasive Technology conference.</p>
      <p>Personalizing user interfaces and systems in general has received quite some attention
from the Human-Computer Interaction (HCI) researcher community in general [6, 7].
However, most of these findings may not be readily applicable in personalizing
persuasive systems as the effectiveness of the systems is not only determined by their
ability to elicit a positive user experience but ultimately by their ability to cause the
desirable behaviour change. Moreover, the effectiveness of various persuasive
approaches will vary depending on the target user type, the context of use, and the
target behaviour [8, 9].</p>
      <p>This realization has led to a growing interest in finding ways of personalizing and
tailoring persuasive systems. However, so far, only few attempts have been made
toward personalizing various persuasive technologies or developing approaches for
personalizing persuasive technology. For example, research has suggested that
individual characteristics such as personality type [10–13], age [9], gender [14, 15],
gamer type [5, 16, 17], and culture [18, 19] as well as individual’s susceptibility to
persuasive attempts [2, 20] can be useful dimensions for tailoring. Research has also
explored how various psychological processes can be used to explain the persuasive
effect of tailoring [3, 21, 22]. Finally, in recent years researchers are exploring how
they can use the large amounts of data generated by persuasive applications to tailor
these applications using artificial intelligence (AI) and machine learning approaches
(ML) [2]. However, there are still many unexplored issues pertaining to designing,
implementing, and evaluating personalized persuasive systems and the efficacy of
personalized persuasive systems in different domains.</p>
      <p>The past four editions of this workshop were held in conjunction with the Persuasive
Technology Conferences 2016, 2017, 2018, and 2019. All the workshops witnessed a
good number of peer reviewed papers on a variety of topics including methods,
theories, systems, and domains [23–25]. The workshops jointly attracted 100s of
participants from over 20 different countries and offered a platform for networking
and exchanging of ideas for scholars and practitioners from both academia and
industry. It also resulted in archived proceedings published with ceur publishing and a
special issue in 2019. This year’s full-day workshop aims to build on the success of
the previous editions and advance the research area further by addressing outstanding
challenges and opportunities identified during the previous workshops [23–25] (e.g.,
the difference between Adaptivity and Adoptivity, system-controlled and
usercontrolled personalization, the use of AI and ML for automatic personalization, etc.)
while identifying new ones.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Goals and Core Questions</title>
      <p>The full-day workshop will bring together the academic and industrial community
interested in personalizing persuasive technologies to brainstorm and jointly explore
these topics and define a roadmap for future research in this area.</p>
      <p>In this context, we want to explore the following topics and questions:</p>
      <p>Frameworks and models for developing personalized persuasive technology.
Objective and subjective approaches to personalizing persuasive technologies.
Methods and Metrics for evaluating the effectiveness of personalized persuasive
technology.</p>
      <p>Long-term evaluation and evidence of long-term effect of personalized
persuasive technology.</p>
      <p>Methods for large-scale computational personalization.</p>
      <p>Systematically investigating and highlighting the difference between Adaptivity
and Adoptivity.</p>
      <p>Systematically investigating and highlighting the difference between
systemcontrolled personalization and user-controlled personalization.</p>
      <p>The relationships between individual characteristics and effectiveness of various
persuasive technology features.</p>
      <p>How to balance the cost and benefit of personalizing persuasive technology.
How to develop ethical and privacy-sensitive personalized persuasive
technology.</p>
      <p>What do we personalize (for example, do we personalize the persuasive
strategies, approaches, or end-goals)?
How do we personalize (e.g., subjective and objective personalization methods)?
Who do we personalize for (e.g., personality, gender, age, persuadability, player
types, emotional states, contextual/situational variables)?
Challenges and limitations of implementing personalized persuasive technology
and possible solutions.</p>
      <p>Case studies and examples of personalized persuasive technologies.</p>
      <p>Success and failure stories with regard to personalized persuasive technology.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Workshop format</title>
      <p>This will be an interactive workshop structured to encourage discussion and active
collaboration among attendees. The workshop will feature a keynote talk, presentation
sessions for the peer-reviewed papers, breakout sessions, and a final discussion
session to wrap up the event. The format is deliberately informal and interactive; we
aim to build relationships between researchers and further develop and discuss the
field as a whole.
4</p>
    </sec>
    <sec id="sec-4">
      <title>Workshop Outcomes</title>
      <p>Through critical reflection, presentations, and brainstorming, the workshop will
outline a roadmap for personalization in persuasive technology research. It will
contribute an overview of the state of the art in persuasive technology research
addressing the issue of personalization, and outline challenges and opportunities. It is
planned to establish a working group that will continue to discuss and collaborate on
issues personalization in persuasive technology. Finally, based on the submissions to
our three subsequent workshops, we will invite authors of position papers to
contribute to a special issue on personalized persuasion in a leading journal in the
field.
24.
25.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <string-name>
            <surname>Orji R</surname>
          </string-name>
          (
          <year>2014</year>
          )
          <article-title>Design for Behaviour Change: A Model-driven Approach for Tailoring Persuasive Technologies</article-title>
          .
          <source>PhD Thesis</source>
          :
          <fpage>1</fpage>
          -
          <lpage>257</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <string-name>
            <surname>Kaptein</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>De Ruyter</surname>
            <given-names>B</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Markopoulos</surname>
            <given-names>P</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Aarts</surname>
            <given-names>E</given-names>
          </string-name>
          (
          <year>2012</year>
          )
          <article-title>Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking</article-title>
          .
          <source>ACM Trans Interact Intell Syst</source>
          <volume>2</volume>
          :
          <fpage>1</fpage>
          -
          <lpage>25</lpage>
          . doi:
          <volume>10</volume>
          .1145/2209310.2209313 Dijkstra A (
          <year>2014</year>
          )
          <article-title>The persuasive effects of personalization through: name mentioning in a smoking cessation message</article-title>
          .
          <source>User Model User-adapt Interact</source>
          <volume>24</volume>
          :
          <fpage>393</fpage>
          -
          <lpage>411</lpage>
          . doi:
          <volume>10</volume>
          .1007/s11257-014-9147
          <string-name>
            <surname>-x Busch</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mattheiss</surname>
            <given-names>E</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hochleitner</surname>
            <given-names>W</given-names>
          </string-name>
          , et al (
          <year>2016</year>
          )
          <article-title>Using Player Type Models for Personalized Game Design - An Empirical Investigation</article-title>
          .
          <source>Interact Des Archit</source>
          <volume>28</volume>
          :
          <fpage>145</fpage>
          -
          <lpage>163</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <string-name>
            <surname>Orji</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mandryk</surname>
            <given-names>RL</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vassileva</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gerling</surname>
            <given-names>KM</given-names>
          </string-name>
          (
          <year>2013</year>
          )
          <article-title>Tailoring persuasive health games to gamer type</article-title>
          .
          <source>In: Proc. SIGCHI Conf. Hum. Factors Comput. Syst</source>
          . - CHI '
          <fpage>13</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          ACM Press, New York, New York, USA, p 2467 Egan D (
          <year>1988</year>
          )
          <article-title>Individual differences in human-computer interaction</article-title>
          .
          <source>Handb Humancomputer Interact M Helander (ed) Elsevier Sci Publ Amsterdam</source>
          <volume>543</volume>
          -568.
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          <string-name>
            <surname>Fountoukidou</surname>
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ham</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ruijten</surname>
            <given-names>P</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Matzat</surname>
            <given-names>U</given-names>
          </string-name>
          (
          <year>2016</year>
          )
          <article-title>Using personalized persuasive strategies to increase acceptance and use of HCI technology</article-title>
          .
          <source>In: Adj. Proc. Persuas</source>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          <string-name>
            <surname>Technol</surname>
          </string-name>
          . Conf. pp
          <fpage>105</fpage>
          -107
          <string-name>
            <surname>Oinas-kukkonen</surname>
            <given-names>H</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Harjumaa</surname>
            <given-names>M</given-names>
          </string-name>
          (
          <year>2009</year>
          )
          <article-title>Persuasive Systems Design: Key Issues, Process Model, and System Features</article-title>
          .
          <source>Commun Assoc Inf Syst</source>
          <volume>24</volume>
          :
          <fpage>28</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          <string-name>
            <surname>Orji</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mandryk</surname>
            <given-names>RL</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vassileva</surname>
            <given-names>J</given-names>
          </string-name>
          (
          <year>2015</year>
          )
          <article-title>Gender, Age, and Responsiveness to Cialdini's Persuasion Strategies</article-title>
          . In: Persuas. Technol. pp
          <fpage>147</fpage>
          -159
          <string-name>
            <surname>Alkış</surname>
            <given-names>N</given-names>
          </string-name>
          , Taşkaya Temizel T (
          <year>2015</year>
          )
          <article-title>The impact of individual differences on influence strategies</article-title>
          .
          <source>Pers Individ Dif</source>
          <volume>87</volume>
          :
          <fpage>147</fpage>
          -
          <lpage>152</lpage>
          . doi:
          <volume>10</volume>
          .1016/j.paid.
          <year>2015</year>
          .
          <volume>07</volume>
          .037
          <string-name>
            <surname>Oyibo</surname>
            <given-names>K</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Orji</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vassileva</surname>
            <given-names>J</given-names>
          </string-name>
          (
          <year>2017</year>
          )
          <article-title>Investigation of the Influence of Personality Traits on Cialdini ' s Persuasive Strategies</article-title>
          .
          <source>Int. Work. Pers. Persuas. Technol.</source>
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          <string-name>
            <surname>Orji</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nacke</surname>
            <given-names>LE</given-names>
          </string-name>
          ,
          <string-name>
            <surname>DiMarco</surname>
            <given-names>C</given-names>
          </string-name>
          (
          <year>2017</year>
          )
          <article-title>Towards personality-driven persuasive health games and gamified systems</article-title>
          .
          <source>In: Proc. SIGCHI Conf</source>
          . pp
          <fpage>1015</fpage>
          -1027
          <string-name>
            <surname>Okpo</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mastho</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dennis</surname>
            <given-names>M</given-names>
          </string-name>
          , et al (
          <year>2017</year>
          <article-title>) Investigating the impact of personality &amp; cognitive e€iciency on the selection of exercises for learners</article-title>
          .
          <source>UMAP 2017 - Proc 25th Conf User Model Adapt Pers</source>
          <volume>140</volume>
          -
          <fpage>147</fpage>
          . doi:
          <volume>10</volume>
          .1145/3079628.3079674
          <string-name>
            <surname>Orji</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mandryk</surname>
            <given-names>RL</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Vassileva</surname>
            <given-names>J</given-names>
          </string-name>
          (
          <year>2014</year>
          )
          <article-title>Gender and Persuasive Technology: Examining the Persuasiveness of Persuasive Strategies by Gender Groups</article-title>
          . In: Adjun.
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          <string-name>
            <surname>Orji R</surname>
          </string-name>
          (
          <year>2018</year>
          )
          <article-title>Preface to</article-title>
          the
          <source>Third International Workshop on Personalizing Persuasive Technologies. CEUR Workshop Proc</source>
          .
          <year>2089</year>
          :
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>