Training Conflict Management in a Collaborative Virtual Environment

Emmerich, Katharina; Neuwald, Katja; Othlinghaus, Julia; Ziebarth, Sabrina; Hoppe, H. Ulrich

doi:10.1007/978-3-642-33284-5_2

Cited by 9 publications

(6 citation statements)

References 7 publications

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“…The so-called full GEAS strategy refers to the adaptation that applies different gamification elements at different moments depending on the estimated user preferences [40,45]. Single GEAS adjusts some features of the gamification elements according to players' behavior [32,46]. Our research situates in full the GEAS element of the taxonomy as our adaptation provides different game elements depending on the MOOC's learners' profile and their behavior along the course.…”

Section: Adaptation Strategymentioning

confidence: 99%

Towards Adaptive Gamification: A Method Using Dynamic Player Profile and a Case Study

2022

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The design of gamified experiences following the one-fits-all approach uses the same game elements for all users participating in the experience. The alternative is adaptive gamification, which considers that users have different playing motivations. Some adaptive approaches use a (static) player profile gathered at the beginning of the experience; thus, the user experience fits this player profile uncovered through the use of a player type questionnaire. This paper presents a dynamic adaptive method which takes players’ profiles as initial information and also considers how these profiles change over time based on users’ interactions and opinions. Then, the users are provided with a personalized experience through the use of game elements that correspond to their dynamic playing profile. We describe a case study in the educational context, a course integrated on Nanomoocs, a massive open online course (MOOC) platform. We also present a preliminary evaluation of the approach by means of a simulator with bots that yields promising results when compared to baseline methods. The bots simulate different types of users, not so much to evaluate the effects of gamification (i.e., the completion rate), but to validate the convergence and validity of our method. The results show that our method achieves a low error considering both situations: when the user accurately (Err = 0.0070) and inaccurately (Err = 0.0243) answers the player type questionnaire.

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Section: Adaptation Strategymentioning

confidence: 99%

Towards Adaptive Gamification: A Method Using Dynamic Player Profile and a Case Study

2022

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“…Besides community cooperation awareness, there are examples of adaptation that consider group interaction activity to give tailored feedback. The mediator bot in the work of Emmerich et al [PA5] does interventions triggered by (and built upon) the dialog interaction between the participants. Similarly, in Padilla-Zea et al [PA8], an analysis mechanism based on Social Network Analysis is used, focusing on the collaborative process.…”

Section: Community Adaptationmentioning

confidence: 99%

“…For example, Ismailović et al presented the game We make words [PA3] as architecture with an extensive learning intelligence which implements a strategy design pattern where the controller can control the learning path by using different strategies. In this same sense, the collaborative conflict management training game developed by Emmerich et al in [PA5] is implemented over a multi-agent architecture that can be used as an adaptable framework for related collaborative learning scenarios. Finally, the SINFOR game [PA9] is a crisis management training that can be applied to different scenarios, using an agent editor (authoring tool).…”

Section: Adaptability Building Tools or Frameworkmentioning

confidence: 99%

“…The gamification elements adaptation is the set of adaptations where the change is applied in the behavior or characteristic of a specific gamification element. Several articles tackle the adaptation in agent's behavior, by including a game agent that provides appropriate assistance both on the individual and team level [PA5] [PA6] [PA18], the virtual representation of some roles [PA9], or non-player characters [PA15].…”

Section: Rq3: What Gamification Elements Have Been Used In Gamified Collaborative Systems?mentioning

confidence: 99%

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Adaptive gamification in Collaborative systems, a systematic mapping study

Ayastuy

Torres

Fernández

2021

Computer Science Review

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Mass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online, mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. This article introduces a study of the published research on the application of adaptive gamification to collaborative systems. The study focuses on works that explicitly discuss an approach of personalization or adaptation of the gamification elements in this type of system. It employs a systematic mapping design in which a categorical structure for classifying the research results is proposed based on the topics that emerged from the papers review. The main contributions of this paper are a formalization of the adaptation strategies and the proposal of a new taxonomy for gamification elements adaptation. The results evidence the lack of research literature in the study of adapting gamification in the field of collaborative systems. Considering the underlying cultural diversity in those projects, the adaptability of gamification design and strategies is a promissory research field.

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“…It involves two players in a conversation with an AI-controlled chatbot acting as a mediator in a 2D virtual environment. The following description of the approach and game design is based on the work of Emmerich et al (2012).…”

Section: Case Study: Conflict Managementmentioning

confidence: 99%

A Technical and Conceptual Framework for Serious Role-Playing Games in the Area of Social Skill Training

Othlinghaus-Wulhorst

Hoppe

2020

Front. Comput. Sci.

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Virtual role-playing games can provide an authentic experience of situated learning and allow for trying out different problem-solving and communication strategies without consequences in the real world. This is of particular interest and benefit for the training of social skills. This article presents a conceptual and technical framework for serious role-playing games for the training of specific social skills in virtual 2D learning environments involving chatbots in dialog-centric settings. It summarizes different use cases and evaluation results from prior studies. From the design perspective, several distinctive conceptual features characterize our framework: (1) chat-like interaction with an AI-controlled chatbot, (2) separate phases of immersion and reflection to facilitate a change of perspective that is considered conducive for learning, (3) the learning process is emphasized by means of adaptive feedback based on individual analyses. We propose a system architecture that is based on three components: (1) AI-controlled chatbots that adapt to the player's behavior, (2) a multi-agent blackboard system as the backbone in order to keep components independent and optimize performance due to parallel processing, and (3) intelligent support for an automated evaluation of the player's performance and feedback generation. The training scenarios presented and discussed in this article include workplace-oriented conflict management, patient-centered medical interviews, and customer complaint management. First evaluation studies indicate that the scenarios may be well-suited for real training situations. Due to its flexible architecture, our framework and approach can easily be tailored to different settings and use cases and thus serve as a basis for future research focusing on the adaptation to other contexts and systems. On the basis of these developments, we elaborate important design dimensions, reflect and discuss general issues and major challenges, summarize and contrast different approaches and strategies, and identify opportunities for serious role-playing games in the area of social skills training.

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Training Conflict Management in a Collaborative Virtual Environment

Cited by 9 publications

References 7 publications

Towards Adaptive Gamification: A Method Using Dynamic Player Profile and a Case Study

Towards Adaptive Gamification: A Method Using Dynamic Player Profile and a Case Study

Adaptive gamification in Collaborative systems, a systematic mapping study

A Technical and Conceptual Framework for Serious Role-Playing Games in the Area of Social Skill Training

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