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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Preface to the Third International Workshop on Personalizing Persuasive Technologies</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Rita Orji</string-name>
          <email>rita.orji@dal.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Dalhousie University</institution>
          ,
          <addr-line>Halifax, NS</addr-line>
          <country country="CA">Canada</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The accepted contributions covered three broad areas of Personalizing Persuasive Technologies: Personalization Theories, Tools, and Methods; Personalized Applications: eHealth, eCommerce, eLearning, Mobility and Social Network; and Personalized Games and Gamification.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>
        As Persuasive Technologies (PTs) advance in both complexity and application areas,
there is an increasing need to personalize them. Personalizing Persuasive
Technologies (PPT) is the act of tailoring them to the target audience to increase their
relevance, motivational appeal, user experience, and hence their overall effectiveness
at promoting desirable behaviours [1]. Previous research has shown that individual
characteristics such as personality type [2–5], age [
        <xref ref-type="bibr" rid="ref13">6, 7</xref>
        ], gender [
        <xref ref-type="bibr" rid="ref14 ref15">8, 9</xref>
        ], gamer type
[
        <xref ref-type="bibr" rid="ref16 ref17 ref18 ref19 ref7">10–13</xref>
        ], and culture [
        <xref ref-type="bibr" rid="ref20 ref21">14, 15</xref>
        ] as well as an individual’s susceptibility to persuasive
attempts [
        <xref ref-type="bibr" rid="ref22 ref23">16, 17</xref>
        ] can be useful dimensions for tailoring persuasive technologies.
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. Therefore, this workshop aimed
to provoke discussions and advance research in this area by bringing together
researchers and practitioners to discuss theoretical and practical considerations for
developing and evaluating PPT.
      </p>
      <p>In April 2017, we had the pleasure to organize the 3rd edition of the PPTs Workshop
in Waterloo, Canada. The workshop offered researchers and practitioners from
interdisciplinary backgrounds a platform to present their work and discuss their ideas
on the opportunities and challenges facing the personalizing persuasive technologies
research community. A total of 12 papers were accepted and presented at the
workshop. The workshop also witnessed a keynote presentation from Prof. Julita
Vassileva, from the University of Saskatchewan, Canada. Each submission went through
a thorough peer-review process and was assessed by at least two reviewers, using the
single-blind peer-review approach. The submissions were evaluated based on their
scientific quality and relevance to the PPTs workshop.</p>
    </sec>
    <sec id="sec-2">
      <title>Personalization Methods, Tools, and Theories</title>
      <p>
        In this area, current research issues of interest include how to achieve personalization
in the context of persuasive technologies; who to personalize for, and whether there is
a need to personalize are. Many submissions to the PPT’18 contributed to this
direction:
Ralph et al. [
        <xref ref-type="bibr" rid="ref24">18</xref>
        ], in their paper “Personalizing Virtual Experiences: Metrics for
Persuasive Prototypes”, proposed a hybrid approach for evaluating the persuasiveness
of personalized virtual reality.
      </p>
      <p>
        Oyibo et al. [
        <xref ref-type="bibr" rid="ref25">19</xref>
        ], in their paper “The Susceptibility of Africans to Persuasive
Strategies : A Case Study of Nigeria”, investigated how persuasive technologies could
be tailored to Africans by exploring the susceptibility of Nigerians to the six
persuasive principles by Cialdini – Reciprocity, Scarcity, Authority, Consensus, and
Liking.
      </p>
      <p>
        Abdullahi et al. [
        <xref ref-type="bibr" rid="ref26">20</xref>
        ], in their work titled “The Influence of Cognitive Ability on the
Susceptibility to Persuasive Strategies”, explored how PT can be personalized to
individual users based on their cognitive level.
      </p>
      <p>Similarly, Adaji et al., in their paper “Understanding Low Review Ratings in Online
Communities. A Personality Based Approach”, explored the relation between review
quality, reviewers’ personality and the persuasiveness of reward for reviewers of
various personalities.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Personalized Persuasive Applications: eHealth, eCommerce, and Other Domains</title>
      <p>
        Many submissions to this workshop explored the domain dependency of the efficacy
of personalized persuasive technologies by analyzing, designing, and evaluating PPT
targeted at various behavior domains including Health and E-commerce.
Haque et al. [
        <xref ref-type="bibr" rid="ref27">21</xref>
        ], in their work “Measuring the Influence of a Persuasive Application
to Promote Physical Activity”, investigated the efficacy of a theory-driven persuasive
application for motivating physical activity in an office environment.
      </p>
      <p>
        Adaji et al. [
        <xref ref-type="bibr" rid="ref28">22</xref>
        ], in their work “Shopper Types and The Influence of Persuasive
Strategies in E-Commerce”, investigated the relationship between the six persuasive
principles by Cialdini – Reciprocity, Scarcity, Authority, Consensus, and Liking and
shopper’s personality type.
      </p>
      <p>
        Nkwo et al. [
        <xref ref-type="bibr" rid="ref29">23</xref>
        ] analysed two popular African eCommerce sites and deconstructed
the personalization approaches employed to attract customers and promote sales
among African audience in their work titled “E-Commerce Personalization in Africa :
A Comparative Analysis of Jumia and Konga.”
Orji et al. [
        <xref ref-type="bibr" rid="ref30">24</xref>
        ], in their paper “Personalized Persuasion for Promoting Students’
Engagement and Learning”, designed a personalized persuasive system to engage
learners and promote learning among university students using social influence
strategies.
      </p>
      <p>
        Anagnostopoulou et al. [
        <xref ref-type="bibr" rid="ref31">25</xref>
        ], in their paper “How to not be Annoying: Adjusting
Persuasive Interventions Intensity when Nudging for Sustainable Travel Choices”,
proposed an approach for personalizing persuasive technologies by adjusting the
intensity of persuasive messages.
      </p>
      <p>
        Arya et al. [
        <xref ref-type="bibr" rid="ref32">26</xref>
        ], in their work “User Trust Graph : A Model to Measure
Trustworthiness”, explored how to evaluate the trustworthiness of users of tweet
graphs in the context of persuasive recommender systems.
4
      </p>
    </sec>
    <sec id="sec-4">
      <title>Personalized Games and Gamification</title>
      <p>
        Ndulue C. and Orji R [
        <xref ref-type="bibr" rid="ref33">27</xref>
        ], in their work “STD PONG : A Personalized Persuasive
Game for Risky Sexual Behaviour Change in Africa”, described the design of a
personalized persuasive game for motivating risky sexual behaviour change among
African youths.
      </p>
      <p>
        Tondello G. and Nacke L. E. [
        <xref ref-type="bibr" rid="ref34">28</xref>
        ], in their paper “Towards Customizing Gameful
Systems by Gameful Design Elements”, described an approach for personalizing
gameful systems by allowing users to select their preferred design element.
      </p>
    </sec>
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