<!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>
      <journal-title-group>
        <journal-title>International Workshop on Behavior Change Support Systems, April</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>12 years of research into behavior change support systems⋆⋆</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Harri Oinas-Kukkonen</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sharon Nabwire</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Elena Vlahu-Gjorgievska</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sriram Iyengar</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>University of Arizona</institution>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of Oulu</institution>
          ,
          <country country="FI">Finland</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Wollongong</institution>
          ,
          <country country="AU">Australia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2024</year>
      </pub-date>
      <volume>10</volume>
      <issue>2024</issue>
      <abstract>
        <p>Behavior Change Support Systems (BCSS) have shown promising results in motivating and supporting individuals to change their behaviors and attitudes toward improved health or other areas or adopt new ones. This paper discusses research contributions related to the design and development of BCSS presented in the workshop under the same name in conjunction with the annual series of the International Conference on Persuasive Technology. The contributions of both previous research and the latest edition of the workshop are discussed in this paper.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Behavior change support systems</kwd>
        <kwd>persuasive technology</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>Persuasive technology covers the intersection of natural, social, and other scientific disciplines,
requiring multidisciplinary design, implementation, and assessment approaches [32]. Research is
needed to explore the transformative nature of technologies in modifying behaviors and
systematically monitoring the efficacy and consequences of digital interventions. Using
information technologies as persuasive agents has the potential to shed light on the underlying
elements of persuasion, exerting an impact on attitudes and behaviors. Researchers have gained
interest in social dimensions and the downsides of persuasion through these technologies.</p>
      <p>Over the past decade, many persuasive applications have emerged to promote positive
behavior changes across domains, such as health and well-being, sustainable energy practices,
educational concepts, and marketing strategies [14]. Moreover, advances in technology have
created intelligent, virtual, and persuasive environments that offer diverse sensory cues and
psychophysiological feedback, fostering personal transformation through heightened emotional,
social, and physical engagements.</p>
      <p>The Behavior Change Support Systems (BCSS) workshop centers on developing systems that
facilitate and reinforce behavior change initiatives among individuals or collectives. At its core,
the workshop represents a profoundly multidisciplinary ethos underscored by its commitment to
designing and implementing strategies and systems conducive to behavior change across diverse
domains.</p>
      <p>This workshop unites researchers, practitioners, and experts from various scientific
disciplines, including information systems, information sciences, human-computer interaction,
industrial design, psychology, and medicine. As a scholarly forum, the event adopted a conference
format to facilitate the presentation, discussion, and deliberation of research findings and the
foundational tenets of persuasive technology.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Background</title>
      <p>The workshop series focuses on developing information systems that facilitate and promote
behavioral change and it acknowledges the multidisciplinary nature of designing and
implementing strategies for behavioral change and the corresponding information systems,
services, and software. To date, 12 editions of the BCSS workshop have been held successfully in
conjunction with the Persuasive Technology Conference. Since its inception in Sydney, Australia,
in 2013, 84 peer-reviewed papers have been published in the workshop proceedings, attracting
211 authors of these papers from academia and industry in 25 countries to share their research
on various aspects of behavior change support systems. Each year, the workshop has typically
hosted more than 20 authors who present their research findings.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Highlights of previous research</title>
      <p>For this paper, we reviewed the publications in the workshop series to gain a broad picture of
proceedings to date. This was an integrative review [50], a comprehensive literature review
synthesizing research studies to better understand the research area. The papers presented in the
first workshop in 2013 focused on the abstraction, implementation, and evaluation of Behavior
Change Support Systems (BCSS), and this has continued with more research focusing on the
evaluation of BCSS's effectiveness.</p>
      <sec id="sec-3-1">
        <title>3.1. Keyword frequency</title>
      </sec>
      <sec id="sec-3-2">
        <title>3.2. Application domains</title>
        <p>
          Over the years, several application domains have been highlighted through the BCSS
proceedings, including health and well-being, marketing, and environmental sustainability.
However, the health and well-being domain continues to generate significant interest with
various applications in weight management [15, 51], physical activity [30], cardiovascular
postoperative care [38], asthma management [
          <xref ref-type="bibr" rid="ref1">1, 22</xref>
          ], and cancer [46]. Physical therapy-based
methods and applications are widely used in healthcare. Another area of health research has
focused on public and mental health [25, 26]. For example, Langrial et al. [26] investigated the
impact of social behavior change messages on people in response to the COVID-19 pandemic.
Studies on mental health have involved identifying persuasive features for virtual coaches in
mental health interventions for issues such as depression and anxiety [39] and stress management
[20, 33]. Oyebode et al. [33] explored the persuasive strategies utilized in 100 mental health apps.
        </p>
        <p>
          Lifestyle interventions or study areas include garbage disposal behavior [34], physical activity
[16], secure smartphone behavior[10], time-keeping skills [42], environmental sustainability [36]
and digital addiction [18]. For instance, Ozono et al. [34] proposed and evaluated an intervention
method for taking out rubbish. Using visual cues and inducements, they assessed the impact of
the intervention on behavior attitudes and personality traits. To address the issue of inadequate
water intake among children, Bootsma and Ciocarlan used persuasive strategies and interactive
storytelling techniques to improve children’s knowledge and foster a positive attitude towards
drinking water[
          <xref ref-type="bibr" rid="ref3">3</xref>
          ].
        </p>
        <p>Studies on environmental sustainability have included providing personalized and tailored
support to travelers to promote environmentally sustainable transportation practices [28] and
using persuasive strategies in ambient energy displays to lower energy consumption in private
households [23]. Paraschivoiu et al. provide insights into the design of sustainable platforms that
encourage behavior change related to climate change on a city level by using a user-centric
approach [36].</p>
        <p>
          Other studies have focused on marketing [
          <xref ref-type="bibr" rid="ref2">2, 17</xref>
          ], cyber security [5, 10, 19], and recommender
systems [11, 45] as well as BCSS in education and learning, such as embedding persuasive
technology into existing curricula [31], and designing educational tools for individuals with
intellectual disabilities [48]. Some research has also focused on conceptual design [7], user
experience[21], implementation of behavior change [24], and behavioral psychology [9] without
narrowing it down to an application domain. These proceedings highlight that BCSS research
application areas contribute to fields also outside of health and well-being.
        </p>
      </sec>
      <sec id="sec-3-3">
        <title>3.3. Applied technologies</title>
        <p>Mobile apps have been at the center of BCSS research owing to the proliferation of smartphones.
However, as technology continues to evolve, we are starting to see that research utilizes different
technologies, such as virtual reality, sensors, and blockchain, in behavior change research. For
instance, Sharma et al. [40] utilized a sensor-based information communication platform to gain
insights into the information communication needs of informal caregivers. Paajala et al. [35]
attempted to define how blockchain technologies can be utilized to develop persuasive systems,
highlighting the benefits and challenges of using blockchain in BCSS. Using a body-centric
approach, Klaassen et al. [22] used a virtual reality-controlled environment integrated with
therapy sessions for people with substance abuse disorders and intellectual disabilities to trigger
the application of self-control strategies. The effect of social media on behavior change
interventions was demonstrated by Tikka et al. [43], who used Twitter to deliver interventions
and receive peer support. Chow et al. [7] suggest utilizing embedded persuasive systems to break
habitual routines and generate effective sensorimotor experiences.</p>
      </sec>
      <sec id="sec-3-4">
        <title>3.4. Research approaches</title>
        <p>Various research methods have been utilized, including systematic reviews, mixed methods
research, qualitative studies, natural language processing, case studies, experimental designs, and
heuristic evaluations. Earlier research focused more on the design and development of BCSS. As
we progress, we see more research focusing on evaluating their effectiveness. The Persuasive
Systems Design (PSD) model offers a methodical and categorical assessment of persuasive
information systems and has been employed to examine and assess the persuasive characteristics
of BCSS. The model remains central to BCSS research as a methodological, conceptual, and
theoretical basis for determining each situation's suitability and distinct demands. It has also been
applied as a guide for the design and development of BCSS.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Most recent contributions</title>
      <p>The 2024 edition of the workshop was a hybrid event showcasing distinguished research papers
on designing and implementing BCSS domains of health and well-being, social media, sports, and
recreation and design. These studies covered various contexts of BCSS and explored topics of
user experience, design guidelines, online influence, and the cost of BCSS development.</p>
      <p>In their study, Vlahu-Gjorgievska et al. [47] explored surfers’ needs and perceptions of safe
surfing apps. In-depth interviews with 13 surfers yielded insights into the key functionalities and
visual aspects required to create successful and safe surfing applications. Their study
identified three main themes: application features, content, and design. This study highlights the
significance of up-to-date weather and surfing conditions and beginner-friendly instructional
materials as surfers’ main information needs. Additionally, the study emphasizes the importance
of app design in encouraging user interaction and how implementing personalized notifications
is crucial for raising awareness of safety issues. They later applied persuasive principles to these
findings using the Persuasive System Design model [32], which allows the integration of social
facilitation, personalization, and reminders into safety surfing apps. Ultimately, this study
highlights how revolutionary safe-surfing applications can improve surfing experiences and
encourage a responsible and safe-surfing culture.</p>
      <p>Cao et al. [6] recognize the impact of prenatal and postpartum care on maternal and child
health. To address the current shortage of healthcare services that cater to the needs of expectant
and nursing mothers, the team has developed a mobile application called TEKUTECH. Based on
the Information-Motivation-Behavioral Skills model [8], the app guided pregnant and nursing
mothers for 20–23 weeks. Using sixty-five participants, the study evaluated the app's
effectiveness in promoting positive behavior changes, including walking behavior, sun exposure,
and nutritional intake. This paper describes the app’s features, the experiment’s overall design,
the collected data, and the participant's feedback on the app.</p>
      <p>The paper by Guadagno et al. [12] investigates corporate communication practices on social
media and focuses on how these practices influence customers' intentions to engage with a brand.
Through two comprehensive studies, the authors analyzed participants' inclination to patronize
specific restaurant chains after interacting with the brand's Twitter account. The analysis
considered various response strategies from the online social influence model [13] employed by
corporate Twitter accounts, including direct replies, retweets, and non-responses. Their findings
in both studies confirmed their prediction that reciprocity norms would lead individuals to prefer
restaurants that engage in their tweets. This demonstrates that participants had stronger
intentions to support a restaurant after the Twitter interaction.</p>
      <p>Li and Tajario [27] studied the persuasive system design principles for pandemics. Through a
workshop approach, 16 participants accessed the comprehensibility of persuasive system design
principles. They highlight the challenging PSD principles from the designer’s perspective. The
findings showed that some PSD principles necessitate context-specific interpretation for effective
integration into health app development.</p>
      <p>To understand the cost of developing persuasion in health behavior change support systems
(HBCSS), Nabwire and Oinas-Kukkonen [29] explore the perceived cost of developing persuasive
features in HBCSS. Using in-depth interviews with experts and the weighted sum model (WSM)
[44], the team estimated the perceived cost of developing persuasion in a hypothetical weight
management app using three parameters: expertise, effort, and cost. The results highlight that
dialogue and credibility support features may require fewer financial resources than social and
primary support features.</p>
      <p>Peres and Campos [37] explore the challenges faced by informal caregivers and seek to
understand the effects of watching nature videos on informal caregivers' emotional well-being.
More specifically, this study explores the potential benefits of watching nature videos to increase
valence and positive effects without leaving home. Using Self-Assessment Manikins (SAM) [4]
and Positive and Negative Affect Schedule (PANAS) [49] scales, this study compared the effects
of nature videos between informal caregivers and non-caregivers. Their findings showed that
watching nature videos positively affected informal caregivers’ well-being.</p>
      <p>McGowan et al. [28] focused on the transformative potential of persuasive system design and
examined its impact on mobile health applications. The study applied a multiphase experimental
design, developing and evaluating 25 mobile health app screens using PSD principles. The process
included rigorous prototyping, expert review, and iterative design to ensure the effective
incorporation of persuasive elements tailored to diverse user groups. Their findings underscore
the effectiveness of combining primary task support and dialogue support in mobile health apps
to maximize user engagement.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Conclusion</title>
      <p>Since the BCSS workshop series's inception, many studies and perspectives have been presented
regarding behavior change support systems. These studies reveal the advancements and
challenges in the BCSS and persuasive technology, highlighting their potential to motivate
behavior changes across multiple domains. Although short-term interventions have
demonstrated success in encouraging physical activity and other health-related behaviors, there
is a growing focus on addressing chronic conditions, such as diabetes and obesity [12], and
longterm effects [41]. The most recent contributions provide unique insights into how BCSS research
can help shape and influence people's behaviors, from exploring its application in social media
corporate practices to persuasive principles in different health application development. A
detailed systematic review and text analysis of the publications could provide additional insights
and trends into BCSS research.
water. In: 11th International Workshop on Behavior Change Support Systems.
CEURWS.org (2023).
[4] M.M. Bradley, P.J. Lang, Measuring Emotion: The self-assessment manikin and the semantic
differential. (1994).
[5] M. Busch, S. Patil, G. Regal, C. Hochleitner, P. Fröhlich, M.Tscheligi, Persuasive Information
Security A Behavior Change Support System to Help Employees Protect Organizational
Information Security. In: 3rd International Workshop on Behavior Change Support
Systems. CEUR-WS.org (2015).
[6] L. Cao, M. Taya, Y. Sakamoto, Y. Honda, S. Hukuda, Y. Sato et al., Health-related behavior
changes using IoHT for pregnant and postpartum women: From the Be-TWINKLE study.
In: 12th International Workshop on Behavior Change Support Systems. CEUR-WS.org
(2024).
[7] K.K.N. Chow, B.D. Leong, B.Y.H. Lee, K. Wai, M.Siu, Animating Embedded Behavior Change
Support Systems in Physical Environments. In: 7th International Workshop on Behavior
Change Support Systems. CEUR-WS.org (2019).
[8] D.F. Fisher, A.W. Fisher, A.P. Shuper, The information-motivationbehavioral skills model
of hiv preventive behavior. Emerging theories in health promotion practice and research.</p>
      <p>Presented at the (2009).
[9] D. De Franco, A. Pease, Designing Behaviour Change Support Systems for Behaviour
Transformation. In: 7th International Workshop on Behavior Change Support Systems.</p>
      <p>CEUR-WS.org (2019).
[10] A. Ganesh, C. Ndulue, R. Orji, The Design and Development of Mobile Game to Promote
Secure Smartphone Behaviour. In: 9th International Workshop on Behavior Change
Support Systems. CEUR-WS.org (2021).
[11] S. Gkika, G. Lekakos, The persuasive role of Explanations in Recommender Systems. In: 2nd</p>
      <p>International Workshop on Behavior Change Support Systems. p. 59 CEUR-WS.org (2014).
[12] R.E.Guadagno, A. Sardos, A. Kimbrough, If You Reply to Me, I Will Buy from You: A Social
Influence Examination of Reciprocity on Twitter. In: 12th International Workshop on
Behavior Change Support Systems. CEUR-WS.org (2024).
[13] R.E. Guadagno, R.B. Cialdini, Online Persuasion and Compliance: Social Influence on the</p>
      <p>Internet and beyond. (2009).
[14] S. Haque, S. Iyengar, P. Karppinen, L. Van Gemert-Pijnen, H. Oinas-Kukkonen, What do we
know about behavior change support systems after a decade of annual meetings? (2023).
[15] G. Huizing, Multi-Perspective Persuasion by a Council of Virtual Coaches. In: 8th</p>
      <p>International Workshop on Behavior Change Support Systems. CEUR-WS.org (2020).
[16] N. Hungerländer, Using persuasive features to promote physical activity for older
employees-Report from the AgeWell project. In: 10th International Workshop on Behavior
Change Support Systems. CEUR-WS.org (2022).
[17] Y. Kashimoto, J. Hyry, M. Taya, H. Ishizuka, A. Kobayashi, Applying In-depth Interview to
Explore the Use of Electronic Coupons and Customer Behavior Change. In: International
Workshop on Behavior Change Support Systems (BCSS). CEUR-WS.org (2013).
[18] Y. Kashimoto, J. Hyry, P. Karppinen, H. Oinas-Kukkonen, M. Taya, C. Ono, Preliminary
study on the smartphone zombie phenomenon by utilising a monitoring application. In: 8th
International Workshop on Behavior Change Support Systems. CEUR-WS.org (2020).
[19] R.H.P. Kegel, R.J. Wieringa, Behavior Change Support Systems for Privacy and Security. In:
3rd International Workshop on Behavior Change Support Systems. CEUR-WS.org (2015).
[20] M. Kekkonen, H. Oinas-Kukkonen, Doctoral Students’ Battle of Stress-Designing BCSS to
Help Them Win the Battle: Searching for Design Improvements via Workshops with
EndUsers. In: 9th International Workshop on Behavior Change Support Systems. CEUR-WS.org
(2021).
[21] M. Kekkonen, H. Oinas-Kukkonen, Social Comparison in Behavior Change Support
Systems: Heuristic Evaluation of a System’s Usability. In: 7th International Workshop on
Behavior Change Support Systems. CEUR-WS.org (2019).
[22] R. Klaassen, R. Van Delden, J. Vandernagel, M. Van Der Kamp, B. Thio, D. Heylen, In Body
Experiences: Persuasion by Doing. In: 7th International Workshop on Behavior Change
Support Systems. CEUR-WS.org (2019).
[23] P.M. Kluckner, A. Weiss, P. Sundström, M. Tscheligi, Two Actors: Providers and Consumers
inform the Design of an Ambient Energy Saving Display with Persuasive Strategies. In:
International Workshop on Behavior Change Support Systems. CEUR-WS.org (2013).
[24] C. Konstanti, E. Karapanos, P. Markopoulos, BCD Cards: A Tool for Designing
Theorybased Behavior Change Technologies. In: 7th International Workshop on Behavior Change
Support Systems. CEUR-WS.org (2019).
[25] O. Kulyk, C.D. Das, S. David, L. Van Gemert-Pijnen, How Persuasive are Serious Games,
Social Media and mHealth Technologies for Vulnerable Young Adults? Design Factors for
Health Behavior and Lifestyle Change Support: Sexual Health Case. In: 3rd International
Workshop on Behavior Change Support Systems. CEUR-WS.org (2015).
[26] S.U. Langrial, F. Al, F. Al Araimi, Social Behavior Change Messages for Tackling COVID-19
Pandemic in Oman: A Qualitative Study. In: 9th International Workshop on Behavior
Change Support Systems. CEUR-WS.org (2021).
[27] H. Li, F.Tajariol, Persuasive System Design Principles for Pandemic: A Workshop-Based
Inquiry into Comprehensibility for Designers. In: 12th International Workshop on Behavior
Change Support Systems (BCSS 2024). CEUR-WS.org (2024).
[28] A. McGowan, S. Sittig, D, Bourrie, R. Benton, S. Iyengar, A. Dalogullari, Designing For
Diversity: Dynamic Persuasive Strategies in mHealth App Development. In: 12th
International Workshop on Behavior Change Support Systems (BCSS 2024). CEUR-WS.org
(2024).
[29] S. Nabwire, H. Oinas-Kukkonen, Cost to Develop Persuasion in Health Behavior Change
Support Systems: A Weight Management App Scenario. In: 12th International Workshop
on Behavior Change Support Systems (BCSS 2024). CEUR-WS.org (2024).
[30] C. Nutrokpor, Exploring the Impact of Persuasive System Features on User Sentiments in
Health and Fitness Apps. In: 9th International Workshop on Behavior Change Support
Systems. CEUR-WS.org (2021).
[31] H. Oinas-Kukkonen, P. Karppinen, P. Tikka, A Persuasive Systems Education Program
within an Information Systems Curriculum. In: 11th International Workshop on Behavior
Change Support Systems. (2023).
[32] H. Oinas-Kukkonen, M. Harjumaa, Persuasive systems design: Key issues, process model,
and system features. Communications of the Association for Information Systems. 24, 1,
485–500 (2009). https://doi.org/10.17705/1cais.02428.
[33] O. Oyebode, Deconstructing Persuasive Strategies in Mental Health Apps Based on User
Reviews using Natural Language Processing. In: 8th International Workshop on Behavior
Change Support Systems. CEUR-WS.org (2020).
[34] S. Ozono, K. Kai, M. Ori, Y. Yamazaki, C. Lian, Y. Kishimoto et al., Can a Nudge Induce
Garbage Disposal Behavior? Inducement in Prosocial Behavior. In: 11th International
Workshop on Behavior Change Support Systems. CEUR-WS.org (2023).
[35] I. Paajala, E.Y.F.E. Agyei, P. Karppinen, Conceptualizing Blockchain Utilization in
Persuasive Systems Design. In: 10th International Workshop on Behavior Change Support
Systems. CEUR-WS.org (2022).
[36] I. Paraschivoiu, T. Layer-Wagner, A. Meschtscherjakov, N. Möstegl, P. Stabauer, A
Multistakeholder Process of Designing a City Platform for Sustainable Behavior: Lessons
Learned. In: 8th International Workshop on Behavior Change Support Systems.
CEURWS.org (2020).
[37] B. Peres, P.F. Campos, Understanding The Effects Of Watching a Nature Video On Informal
Caregivers ’ Emotional Well-Being Compared to Non-Caregivers’ Emotional Well-being.
In: 12th International Workshop on Behavior Change Support Systems (BCSS 2024).
CEURWS.org (2024).
[38] R.S.C. de Oliveira, S. Iyengar, G.T.M. Dal Sasso, Mobile health App for patients in the
postoperative period of cardiac surgery. In: 11th International Workshop on Behavior
Change Support Systems. CEUR-WS.org (2023).
[39] M. Scholten, S. Kelders, L.V. Gemert-Pijnen L, How Persuasive is a Virtual Coach in Terms
of Promoting Web-based Intervention User Engagement. In: 4th International Workshop
on Behavior Change Support Systems. p. 66 CEUR-WS.org (2016).
[40] N. Sharma, L.M.A. Braakman-Jansen, J.H. Croockewit, H. Oinas-Kukkonen, L.Van
GemertPijnen, Communicating Care: Identifying Information and design requirements of Informal
Caregivers of Older Adults with Cognitive Impairment in changing scenarios. In: 11th
International Workshop on Behavior Change Support Systems. CEUR-WS.org (2023).
[41] A.M. Teeriniemi, T. Salonurmi, T. Jokelainen, H. Vähänikkilä, T. Alahäivälä, P. Karppinen,
et al., A randomized clinical trial of the effectiveness of a Web-based health behaviour
change support system and group lifestyle counselling on body weight loss in overweight
and obese subjects: 2-year outcomes. J Intern Med. 284, 5, 534–545 (2018).
https://doi.org/10.1111/joim.12802.
[42] P. Tikka, B. Woldemicael, H. Oinas-Kukkonen, Building an App for Behavior Change: Case
RightOnTime Building an App for Behavior Change: Case RightOnTime. In: 4th
International Workshop on Behavior Change Support Systems. (2016).
[43] P. Tikka, H. Oinas-Kukkonen, Persuading Peers in the Web: Social Influence and Tweeters
vs. non-Tweeters. In: 5th International Workshop on Behavior Change Support Systems.</p>
      <p>CEUR-WS.org (2017).
[44] E. Triantaphyllou, Multi-Criteria Decision Making Methods. In: Multi-criteria Decision
Making Methods: A Comparative Study. pp. 5–21 Springer US, Boston, MA (2000).
https://doi.org/10.1007/978-1-4757-3157-6_2.
[45] P. Unal, T.T.Taşkaya, P.E. Eren, An Exploratory Study on the Outcomes of Influence
Strategies in Mobile Application Recommendations. In: 2nd International Workshop on
Behavior Change Support Systems. p. 27 CEUR-WS.org (2014).
[46] E. Vlahu-Gjorgievska, C . Hart, S. Basahal, K. Pokharel, K.T Win, mHealth Applications for
Childhood Cancer Support and Self-management: Persuasive Systems Design features.
(2021).
[47] E. Vlahu-Gjorgievska, Y.Y Saad Alhatem, N.S.Galasau, U.Z Halim, N.M.O. Almehmadi, K.T.</p>
      <p>Win, Surfers’ perceptions of safe-surfing mobile application. In: 12th International
Workshop on Behavior Change Support Systems. CEUR-WS.org (2024).
[48] B.O. Wartena, D.A. Kuipers, H.W. Van Dijk, Ludo Modi Varietas: A Game-architecture
inspired design approach for BCSS. In: 2nd International Workshop on Behavior Change
Support Systems. CEUR-WS.org (2014).
[49] D. Watson, L.A. Clark, A. Tellegen, Development and Validation of Brief Measures of</p>
      <p>Positive and Negative Affect: The PANAS Scales. (1988).
[50] R. Whittemore, K. Knafl, The integrative review: Updated methodology, (2005).</p>
      <p>https://doi.org/10.1111/j.1365-2648.2005.03621.x.
[51] I.Wiafe, D.A. Frempong, Enhancing Persuasive Features of Behaviour Change Support
Systems: The Role of U-FADE. In: 3rd International Workshop on Behavior Change Support
Systems. CEUR-WS.org (2015).</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <given-names>N.</given-names>
            <surname>Almutairi</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Vlahu-Gjorgievska</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K.</given-names>
            <surname>Than Win</surname>
          </string-name>
          ,
          <article-title>Asthma management Application for Consumers: Nudging as a feature</article-title>
          .
          <source>In: 7th International Workshop on Behavior Change Support Systems. CEUR-WS.org</source>
          (
          <year>2019</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>F.</given-names>
            <surname>Bennett</surname>
          </string-name>
          ,
          <string-name>
            <given-names>W.</given-names>
            <surname>Lewis</surname>
          </string-name>
          ,
          <article-title>Project-Machete: a Weapon to Cut Through the Amazon(</article-title>
          .ca).
          <source>In: 9th International Workshop on Behavior Change Support Systems. CEUR-WS.org</source>
          (
          <year>2021</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>R.E.</given-names>
            <surname>Bootsma</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Ciocarlan</surname>
          </string-name>
          ,
          <article-title>Persuasive technology design for children: Changing behaviours, improving knowledge, and encouraging positive attitudes towards drinking</article-title>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>