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    <article-meta>
      <title-group>
        <article-title>The 10th Annual Workshop on Behavior Change Support Systems</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Laurence Alpay</string-name>
          <email>laurence.alpay@inholland.nl</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Piiastiina Tikka</string-name>
          <email>piiastiina.tikka@oulu.fi</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sanaul Haque</string-name>
          <email>md.haque@lut.fi</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Inholland University of Applied Sciences</institution>
          ,
          <country country="NL">the Netherlands</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>LUT University</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Oulu</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
      </contrib-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>
        The behavior change support system (BCSS) workshop is, by nature, a
multidisciplinary gathering of researchers and practitioners in the field of persuasive technology.
Such technology is present today in our lives in many formats, be it smartwatches,
smartphones, fitness trackers or many other tools we are presented with to improve our
lives, society, and environment, to mention but a few domains [
        <xref ref-type="bibr" rid="ref1 ref2 ref3">1,2,3</xref>
        ].
      </p>
      <p>
        The use of technologies as persuaders can reveal new aspects regarding the
interaction process of persuasion and influencing attitudes and behaviors. Yet, although
human-computer interaction is social by nature and people often do see computers as
social actors, it is still often unknown how these interactions re-shape attitude, beliefs,
and emotions, or how they change behavior, and what the drawbacks are for persuasion
via technologies. Humans re-shape technology, changing their goals during usage. This
means that persuasion is not a static ad-hoc event but an ongoing process.
Validated and suitable evaluation methods, as well as mixed methods approaches, are
needed to measure engagement, emotions, and social influence of persuasive
technologies in various environments. BCSSs pose a number of specific challenges, such as
personal goal setting, personalized feedback, support for computer-mediated
communication, 24/7 availability, feasible business models, as well as suitable methods and
processes to develop scalable software platforms and architectures for these systems.
The persuasive technology field is becoming a linking pin connecting natural and social
sciences, requiring a holistic view on persuasive technologies, as well as a multi-
disciplinary approach for design, implementation, and evaluation. So far, the capacities of
technologies to change behaviors and to continuously monitor the progress and effects
of interventions are not being used to its full potential. Specific aspects of the intervent
ion (its content or the system) contributing to the results and user adherence often
remain unknown, known as the ‘black box’ phenomenon [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>
        Research and development of BCSSs has a solid base in existing research and
validated models to build on, e.g. [
        <xref ref-type="bibr" rid="ref4 ref5 ref6">4,5,6</xref>
        ]. Such work offers various fields both theoretical
approaches as well as more practical toolkits or measurement instruments. In addition,
and with an objective of supporting the practitioner in the field, identifying and
aggregating knowledge regarding best practices and lessons learned in various contexts
would extend the practice-oriented applicability of BCSS research. Research projects
evaluate their success and the results of, for example, an intervention designed;
However, we could learn more about the exact strengths and weaknesses in a variety of
situations. There can be many practical benefits from learning more about effective and
functional approaches, namely, best practices in the field. The technologies and data
available now can be a combination of technologies and data sources, such as robotics,
sensors, analysis methods, etc. When setting out to develop new persuasive technology,
what can be done to support developers and designers in their quest to match the best
approaches and technologies to their behavior change support system objectives and
contexts? Such questions are at the core of the BCSS Workshop.
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>The 10th International Workshop on BCSS</title>
      <p>BCSS workshop, already running for the 10th time at Persuasive Technology (2022 in
Doha, Qatar), is a workshop that builds around the concept of systems that are
specifically designed to help and support behaviour change in individuals or groups. The
highly multi-disciplinary nature of designing and implementing behaviour change
strategies and systems for the strategies has been in the forefront of this workshop from the
very beginning. The organisation for online BCSS 2022 Workshop included Laurence
Alpay (Inholland University of Applied Sciences, the Netherlands) and Piiastiina Tikka
(University of Oulu, Finland) as co-chairs, Sanaul Haque (LUT University, Finland) as
the organising chair, and Harri Oinas-Kukkonen (Universtity of Oulu, Finland) and
Lisette van Gemert-Pijnen (Twente University, the Netherlands) as general co-chairs. We
wish to thank the Programme Committee for their work and support:</p>
      <p>This year, 2022, the BCSS workshop was arranged as a mini workshop with only
four selected papers and more time dedicated to workshop activities around this year’s
workshop themes of ‘best practices’ in BCSS design and implementation. BCSS
research is evolving and increasingly being applied in different domains such as
healthcare, education, marketing, work, energy consumption. The workshop activities
aimed at discussing the lessons learned from using BCSS in various contexts and
examining whether (common) guidelines can be extracted from their design and
application of BCSS.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Presented work</title>
      <p>
        The papers in the workshop in 2022 addressed a range of topics and approaches to
behaviour change. In their paper ‘Using persuasive features to promote physical
activity for older employees – Report from the AgeWell project’ Hungerländer, Merizzi and
Sili (in this workshop proceedings) present the design and development of one part of
a larger AgeWell project, namely the construction of an ‘activity reasoner’ used in the
system to personalise a user’s activity goals in a dynamic, changing manner. Using
user-centric methods and building on the PSD model [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] and a taxonomy of behavior
change techniques (BCTs) [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], a set of requirements were identified for a virtual coach.
The system in question has to identify the physical activity capability and level of its
users and then be able to set initial activity goals that will then be adjusted based on
actual activity over time. As persuasive elements, the system used means for the user
to select what to perform and when. It offered weekly new goals that were adapted to
each user, offered positive communication on past success, offered feedback on
behavior, and used reminders for upcoming events.
      </p>
      <p>In their paper ‘Preliminary study on the correlation between gratitude activity and
prosocial behaviour’, Kashimoto, Sakai, and Arakawa (in this workshop proceedings)
delve into a more foundational level of behavioural aspects of behavioral impact. The
paper studies the effect of gratitude activity on prosocial behavior, hypothesising that
show of gratitude predicts prosocial behaviour via self-efficacy and social worth. The
authors conclude that gratitude “promotes “interpersonal help”, “concentration on the
job”, and “supporting the organisation”. This would conclude that even when facing
challenges, workers in an organisation would feel supported by their colleagues and
can have the confidence to overcome those challenges. Workers who become aware of
gratitude can notice the support they have from their colleagues, gain confidence to
meet challenges, and are likely to help their colleagues (prosocial behavior) given how
they value interpersonal relationships with others. The implications to BCSSs from this
preliminary research is the potential for interventions to promote prosocial behaviors
through stimulating self-efficacy or by stimulating their sense of self-worth by using a
system where appropriate messages can be directed at colleagues.</p>
      <p>Giving attention to a different problem domain in everyday behavior, Ohira,
Nakamura and Arakawa (in this workshop proceedings) constructed an apparatus and means
of monitoring and visualising the degree to which elevators were crowded in buildings
where it was also possible to take the stairs. The premise for nudging physical activity
was to show people waiting for an elevator how full the elevator was and thus indicate
there would be a waiting time to have the elevator empty enough to adhere to covid-19
distancing recommendations. Such indication of waiting time was expected to prompt
people to choose taking the stairs instead of the elevator. The study did not measure the
actual outcome in terms of how many people did take the stairs Instead, the focus of
the study is on the feasibility of the method for measuring crowdedness of the elevator
space.</p>
      <p>Finally, the fourth paper in the workshop by Paajala, Agyei and Karppinen (in this
workshop proceedings) presents us with a discussion over the potential uses of
Blockchain in persuasive system design. In this paper the authors strive to define possibilities
and identify possible hindrances or obstacles in how Blockchain could be used in
support of BCSS. The key application areas identified in the paper involve largely health
related systems, where individuals’ health data is naturally sensitive and confidential.
Downsides involve environmental factors given the energy consumptive nature of
Blockchain technology.</p>
      <p>Overall, the contributions to this year’s BCSS workshop offered the interactive
session an opportunity to discuss what sort of best practices from different fields can be
identified in BCSS design and implementation. The workshop provided some basis to
identify not only the facilitators, but also the obstacles and the barriers to best practices
as well as taking into account the relevant stakeholders.</p>
    </sec>
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  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Arnold</surname>
            <given-names>B.</given-names>
          </string-name>
          NPD Group.
          <article-title>(</article-title>
          <year>2014</year>
          )
          <article-title>Wearable tech device awareness surpasses 50 per- cent among US consumers, according to</article-title>
          NDP URL: https://www.npd.com/wps/portal/npd/us/news/press-releases/wearable-tech
          <string-name>
            <surname>-de-</surname>
          </string-name>
          vice
          <string-name>
            <surname>-</surname>
          </string-name>
          awareness-surpasses-50
          <string-name>
            <surname>-</surname>
          </string-name>
          percentamong
          <article-title>-us-consumers-</article-title>
          <string-name>
            <surname>according-</surname>
          </string-name>
          to-npd/ [accessed 2018-
          <volume>11</volume>
          -1].
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Kulyk</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          , op den Akker,
          <string-name>
            <given-names>H.J.A.</given-names>
            ,
            <surname>Klaassen</surname>
          </string-name>
          , R., van Gemert-Pijnen,
          <string-name>
            <surname>J.E.W.C.</surname>
          </string-name>
          (
          <year>2015</year>
          )
          <article-title>Personalized Virtual Coaching for Lifestyle Support: Principles for Design and Evaluation</article-title>
          .
          <source>International journal on advances in life sciences. 6</source>
          (
          <issue>3-4</issue>
          ),
          <fpage>300</fpage>
          -
          <lpage>309Author</lpage>
          ,
          <string-name>
            <surname>F.</surname>
          </string-name>
          :
          <article-title>Contribution title</article-title>
          .
          <source>In: 9th International Proceedings on Proceedings</source>
          , pp.
          <fpage>1</fpage>
          -
          <lpage>2</lpage>
          . Publisher,
          <string-name>
            <surname>Location</surname>
          </string-name>
          (
          <year>2010</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Reeder</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          and
          <string-name>
            <surname>David</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          (
          <year>2016</year>
          ).
          <article-title>Health at hand: A systematic review of smart watch uses for health and wellness</article-title>
          .
          <source>Journal of Biomedical Informatics</source>
          . Vol.
          <volume>63</volume>
          , pp.
          <fpage>269</fpage>
          -
          <lpage>276</lpage>
          .LNCS Homepage, http://www.springer.com/lncs, last accessed
          <year>2016</year>
          /11/21.
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <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>Communications of the Association for Information Systems</source>
          .
          <volume>24</volume>
          (
          <issue>1</issue>
          ), 28, pp.
          <fpage>485</fpage>
          -
          <lpage>500</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Modic</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Anderson</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Palomäki</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          (
          <year>2018</year>
          )
          <article-title>We will make you like our research: The development of a susceptibility-to-persuasion scale</article-title>
          .
          <source>PLOS ONE 13</source>
          (
          <issue>3</issue>
          ):
          <fpage>e0194119</fpage>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Hagger</surname>
            ,
            <given-names>M.S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Cameron</surname>
            ,
            <given-names>L.D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hamilton</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hankonen</surname>
          </string-name>
          . N., and
          <string-name>
            <surname>Lintunen</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          (
          <year>2020</year>
          ).
          <source>The Handbook of Behavior Change</source>
          . Cambridge University Press, United Kingdom.
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Michie</surname>
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Richardson</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Johnston</surname>
            <given-names>M</given-names>
          </string-name>
          , et al (
          <year>2013</year>
          )
          <article-title>The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions</article-title>
          .
          <source>Ann Behav Med</source>
          <volume>46</volume>
          :
          <fpage>81</fpage>
          -
          <lpage>95</lpage>
          . https://doi.org/10.1007/s12160-013-9486-6
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>