Gamification strategies for mobile device applications: A systematic review

Cechetti, Nathália Pinto; Biduki, Daiana; Marchi, Ana Carolina Bertoletti De

doi:10.23919/cisti.2017.7975943

Cited by 8 publications

(6 citation statements)

References 32 publications

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“…The problem of this heterogeneity of evaluation design has been expounded many times as problematic in understanding and comparing study designs, and in the achievement of the targeted behavioural outcomes (Alanne, 2016;Alessandra et al, 2019;Bodnar et al, 2016;Cechetti et al, 2017;da Silva et al, 2019;Edwards et al, 2016), and our study mirrors these concerns.…”

Section: Discussionmentioning

confidence: 95%

“…In 2012, Gartner Research asserted that 80% of gameful interventions will fail 'primarily due to poor design' (Burke, 2014). Specific to this poor design is the lack of articulation of the design approach adopted by serious game developers (Derksen et al, 2020;Rapp et al, 2019); the lack of articulation of the evaluation approach by serious game developers (Farcas & Szamoskozi, 2016); the heterogeneity of study designs (Bodnar et al, 2016); the lack of evidence-base explaining the engagement impact of game elements (Alanne, 2016;Alessandra et al, 2019;Bodnar et al, 2016;Cechetti et al, 2017;da Silva et al, 2019;Edwards et al, 2016;Lau et al, 2017) and the subsequent ad hoc inclusion of game elements by developers of serious games. There is thus an imperative to better understand the design and evaluation strategies embedded in gameful interventions to build an evidence-base for best practice.…”

Section: Introductionmentioning

confidence: 99%

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Improving Environmental Outcomes With Games: An Exploration of Behavioural and Technological Design and Evaluation Approaches

Salas

Ashbarry

Seabourne

et al. 2022

Simulation & Gaming

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Background To overcome the high failure rate of gameful interventions, we need to better understand their design and evaluation strategies to build an evidence-base for best-practice approaches that bring about meaningful change. This systematic review asks: ‘What behavioural and technological design and evaluation theories and approaches are applied in games developed to bring about positive environmental outcomes?’. Method We reviewed 52 papers published between 2015 and 2020 that used gameful interventions to improve behaviour related to environmental outcomes. These papers were analysed to review the behavioural and technical design, and the assessment and evaluation approaches, employed by the intervention designers. Results We found that these publications report on simple aspects of the behavioural and technical design behind the intervention but fail to justify their design choices in terms of theory and evidence. Furthermore, variability across their evaluation approaches and outcomes exists. Discussion This review highlights several systemic flaws in the literature that limit our understanding of gameful interventions in the pro-environmental context. First, based on this review, we cannot be convinced that these interventions were designed according to best practice for intervention design or for technology development. Second, the justification for proposing a gameful intervention is not always clear. Finally, it is unclear whether these interventions are being evaluated based on best practice. Thus, it is not clear that we can draw confident conclusions about evidence-based outcomes of short-term engagement (in structural gamification interventions) or long-term behaviour change (in content gamification and serious game interventions).

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Improving Environmental Outcomes With Games: An Exploration of Behavioural and Technological Design and Evaluation Approaches

Salas

Ashbarry

Seabourne

et al. 2022

Simulation & Gaming

View full text Add to dashboard Cite

show abstract

“…We used the library of primary game mechanics developed by Järvinen [ 33 ], but other taxonomies of game mechanics may be useful for different Gs4H [ 32 - 37 ]. Game mechanics interact with one another and may have different effects at different times and different effects on different users; because of this inherent complexity, it is unlikely that a single, definitive catalog of game mechanics will emerge [ 32 , 70 ].…”

Section: Discussionmentioning

confidence: 99%

Using the Behaviour Change Wheel Program Planning Model to Design Games for Health: Development Study

Robertson¹,

Baranowski²,

Thompson³

et al. 2021

JMIR Serious Games

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Background Games for health are a promising approach to health promotion. Their success depends on achieving both experiential (game) and instrumental (health) objectives. There is little to guide game for health (G4H) designers in integrating the science of behavior change with the art of game design. Objective The aim of this study is to extend the Behaviour Change Wheel program planning model to develop Challenges for Healthy Aging: Leveraging Limits for Engaging Networked Game-Based Exercise (CHALLENGE), a G4H centered on increasing physical activity in insufficiently active older women. Methods We present and apply the G4H Mechanics, Experiences, and Change (MECHA) process, which supplements the Behaviour Change Wheel program planning model. The additional steps are centered on identifying target G4H player experiences and corresponding game mechanics to help game designers integrate design elements and G4H objectives into behavioral interventions. Results We identified a target behavior of increasing moderate-intensity walking among insufficiently active older women and key psychosocial determinants of this behavior from self-determination theory (eg, autonomy). We used MECHA to map these constructs to intervention functions (eg, persuasion) and G4H target player experiences (eg, captivation). Next, we identified behavior change techniques (eg, framing or reframing) and specific game mechanics (eg, transforming) to help realize intervention functions and elicit targeted player experiences. Conclusions MECHA can help researchers map specific linkages between distal intervention objectives and more proximal game design mechanics in games for health. This can facilitate G4H program planning, evaluation, and clearer scientific communication.

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“…These processes can be oriented toward increasing participants' feelings of competence for engaging in physical activity Identify specific game mechanics designed to evoke target participant experiences [15,31]. Select a taxonomy of game mechanics to guide G4H game design [32][33][34][35][36][37]. Map individual game mechanics to the player experiences, BCTs, and psychosocial constructs identified in previous steps.…”

Section: Example Description Stepmentioning

confidence: 99%

“…These models and the research derived from them underscore the utility of mapping game mechanics to desired objectives for intervention development and evaluation. We used the library of primary game mechanics developed by Järvinen [33], but other taxonomies of game mechanics may be useful for different Gs4H [32][33][34][35][36][37]. Game mechanics interact with one another and may have different effects at different times and different effects on different users; because of this inherent complexity, it is unlikely that a single, definitive catalog of game mechanics will emerge [32,70].…”

Section: Comparison With Prior Workmentioning

confidence: 99%

Using the Behaviour Change Wheel Program Planning Model to Design Games for Health: Development Study (Preprint)

Robertson¹,

Baranowski²,

Thompson³

et al. 2021

Preprint

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BACKGROUND Games for health are a promising approach to health promotion. Their success depends on achieving both experiential (game) and instrumental (health) objectives. There is little to guide game for health (G4H) designers in integrating the science of behavior change with the art of game design. OBJECTIVE The aim of this study is to extend the Behaviour Change Wheel program planning model to develop Challenges for Healthy Aging: Leveraging Limits for Engaging Networked Game-Based Exercise (CHALLENGE), a G4H centered on increasing physical activity in insufficiently active older women. METHODS We present and apply the G4H Mechanics, Experiences, and Change (MECHA) process, which supplements the Behaviour Change Wheel program planning model. The additional steps are centered on identifying target G4H player experiences and corresponding game mechanics to help game designers integrate design elements and G4H objectives into behavioral interventions. RESULTS We identified a target behavior of increasing moderate-intensity walking among insufficiently active older women and key psychosocial determinants of this behavior from self-determination theory (eg, autonomy). We used MECHA to map these constructs to intervention functions (eg, persuasion) and G4H target player experiences (eg, captivation). Next, we identified behavior change techniques (eg, framing or reframing) and specific game mechanics (eg, transforming) to help realize intervention functions and elicit targeted player experiences. CONCLUSIONS MECHA can help researchers map specific linkages between distal intervention objectives and more proximal game design mechanics in games for health. This can facilitate G4H program planning, evaluation, and clearer scientific communication.

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Gamification strategies for mobile device applications: A systematic review

Cited by 8 publications

References 32 publications

Improving Environmental Outcomes With Games: An Exploration of Behavioural and Technological Design and Evaluation Approaches

Improving Environmental Outcomes With Games: An Exploration of Behavioural and Technological Design and Evaluation Approaches

Using the Behaviour Change Wheel Program Planning Model to Design Games for Health: Development Study

Using the Behaviour Change Wheel Program Planning Model to Design Games for Health: Development Study (Preprint)

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