Gamification Analytics—Methods and Tools for Monitoring and Adapting Gamification Designs

Heilbrunn, Benjamin; Herzig, Philipp; Schill, Alexander

doi:10.1007/978-3-319-45557-0_3

Cited by 26 publications

(38 citation statements)

References 5 publications

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“…Accordingly, we queried IEEE, ACM, and Google Scholar with the terms game analytics and game data analysis. Our research resulted in the following game analytics tools: DELTADNA [17], GAMEANALYTICS [18] Gamification projects typically do not have the necessary resources to build own solutions based on general purpose tools [8]. Therefore, we did not further investigate tools such as BI applications, statistics software, or spread sheet tools which could also be used to realize a part of the requirements.…”

Section: Methodssupporting

confidence: 45%

“…However, as we showed in previous work, there is still an unsatisfied demand for tools that support phase (4), i.e., the monitoring and adaptation of gamification designs [8]. Experts request such gamification analytics tools to measure the success of gamification design changes, to better understand the user behavior, and to learn when a gamification design requires adjustment [9].…”

Section: Introductionsupporting

confidence: 45%

“…Our previous work identified and validated 22 functional user requirements for gamification analytics tools by interviewing 10 gamification experts [8]. Figure 1 shows an overview of the resulting requirements model which is organized into five categories:…”

Section: Introductionsupporting

confidence: 42%

“…Then it assesses the identified tools with regards to their fulfillment of user requirements for gamification analytics tools. A detailed description of the requirements which we use as criteria can be found in our previously conducted requirements study [8].…”

Section: Tool Assessmentmentioning

confidence: 46%

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Tools for Gamification Analytics: A Survey

Heilbrunn¹,

Herzig²,

Schill

2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

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Application and gamification data contains valuable information about users and their behavior. This data can be used to measure the success of gamification projects, to analyze user behavior, and to continuously improve gamification designs. Existing software solutions promise support for analyzing gameand gamification-related data. However, research shows that most gamification projects do not monitor and analyze this data in an automated way, even though gamification experts are aware of its potential. In this survey paper we identify relevant software solutions and assesses them with regards to their fulfillment of user requirements in the gamification analytics domain. The survey results can be used by practitioners to make tool decisions. Furthermore, we identify gaps of current solutions that should be addressed by future work in the field of gamification analytics.

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Section: Methodssupporting

confidence: 45%

Section: Introductionsupporting

confidence: 45%

Section: Introductionsupporting

confidence: 42%

Section: Tool Assessmentmentioning

confidence: 46%

See 2 more Smart Citations

Tools for Gamification Analytics: A Survey

Heilbrunn¹,

Herzig²,

Schill

2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

Self Cite

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“…Any game events triggered by those actions are the result of the gamification rules applied on the user's behavior. Talking about user behavior, domain-specific Key Performance Indicators (KPI) are used to operationalize the expected goals [19]. Usually those KPIs are related to metrics like performance, efficiency, progress and quality.…”

Section: Common Architectural Approachesmentioning

confidence: 99%

A Gamification Engine Architecture for Enhancing Behavioral Change Support Systems

Lithoxoidou

Paliokas

Gotsos

et al. 2018

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

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This paper presents a gamified framework designed to offer behavioural change support and treatment adherence services to people living with Dementia (PLWD), their caregivers and medical/social professionals. A flexible and scalable ICT solution architecture was proposed to support highly personalized and gamified services for all groups involved: cognitive skills training and independent living for PLWD, training and support for caregivers and high clinical and social services for professionals. The outcomes of this approach are delivered through a set of gamification concepts running in parallel to create motivation for user commitment and for achieving the desired behavioral change. After projecting all user group expectations on a social game canvas, the impact evaluation will assess the intended effects of the proposed gamification approach on the welfare on PLWD and their caregivers. CCS CONCEPTS• Human-centered computing → Collaborative and social computing → Collaborative and social computing systems and tools; • Human-centered computing → Interaction design → Interaction design process and methods → User centered design

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