RETRACTED CHAPTER: GarbMAS: Simulation of the Application of Gamification Techniques to Increase the Amount of Recycled Waste Through a Multi-agent System

González‐Briones, Alfonso; Valdeolmillos, Diego; Casado‐Vara, Roberto; Chamoso, Pablo; Coria, José Alberto García; Herrera‐Viedma, Enrique; Corchado, Juan M.

doi:10.1007/978-3-319-94649-8_40

Cited by 14 publications

(10 citation statements)

References 16 publications

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“…All these games were presented as prototypes or in the initial stages of their implementation. Four studies (del Campo et al, 2018;González-Briones et al, 2019;Ponis, 2021;Stengos et al, 2019) propose applying gamification in combination with Internet of Things (IoT) technology. Specifically, these studies propose using gamification in relation to waste management, from marine littering control (Ponis, 2021;Stengos et al, 2019) to waste management simulations (González-Briones et al, 2019;Jääskä et al, 2021).…”

Section: Gamification Applied In Ce Researchmentioning

confidence: 99%

The routledge handbook of catalysts for a sustainable circular economy

2023

Focus on Catalysts

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Section: Gamification Applied In Ce Researchmentioning

confidence: 99%

The routledge handbook of catalysts for a sustainable circular economy

2023

Focus on Catalysts

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“…WSNs provide parameter values and directly incorporate them into other devices within the system that need this information to perform their tasks (weather forecasting, learning user behavior, predicting energy consumption or temperature adjustment). These WSNs have been used in proposals that require the deployment of a large number of sensors, often the number of sensors is not known, examples of such works include [15], [16] and [17].…”

Section: Context and User Behaviour Pattern Extractionmentioning

confidence: 99%

Virtual agent organizations for user behaviour pattern extraction in energy optimization processes: A new perspective

et al. 2021

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The optimization of energy use in family homes and public buildings is an ongoing topic of discussion. State-of-the-art research has almost always focused on reducing the consumption of heating systems, air-conditioning or lighting. Despite their importance, user-related variables, such as comfort, are normally not included in the optimization process. These aspects should be considered to be able to e↵ectively minimize energy consumption. Thus, there is a need for a comprehensive energy optimization approach, one that will consider both climatological factors and user behaviour. Learning about user behaviour is key to e↵ective optimization. In this work, the proposed architecture's capacity to organize Virtual Agent Organizations (VAO) allows it to adapt to highly variable user behavior and preferences. This agent methodology has the ability to manage Wireless Sensor Networks (WSNs), Artificial Neural Networks (ANN) and Case-Based Reasoning (CBR) to obtain user preferences and predict their behaviour in the home or building. The proposed approach has been tested in two di↵erent buildings, a traditional-construction house and a modular home, obtaining savings of 30.16% and 13.43%, respectively. These results validate the proposed mixed approach of temperature adjustment algorithms together with the extraction of user behavior patterns for the establishment of a threshold based on preferences.

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“…Eight of the nine studies did not prove entirely useful to our research efforts, as they either presented their gameful approach without actually evaluating the effectiveness of their design (Bifulco et al 2011;Berengueres et al 2013;Gonza ´lez-Briones et al 2018), evaluated their design qualitatively as a whole with a small number of users (Lotfi and Mohammed 2014;Sreelakshmi et al 2015;Menon et al 2017;Idrobo et al 2018) or touched on a relevant but adjacent topic (Whalen et al 2018). Except for one (Luo et al 2018), these studies did not provide insights into the effect of single design choices on learning outcomes but instead looked at their gameful implementations as a whole.…”

Section: Gameful Design and Waste Sortingmentioning

confidence: 99%

Gameful Learning for a More Sustainable World

Hoffmann

Pfeiffer

2021

Bus Inf Syst Eng

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Municipal waste sorting is an important but neglected topic within sustainability-oriented Information Systems research. Most waste management systems depend on the quality of their citizens pre-sorting but lack teaching resources. Thus, it is important to raise awareness and knowledge on correct waste sorting to strengthen current efforts. Having shown promising results in raising learning outcomes and motivation in domains like health and economics, gamification is an auspicious approach to address this problem. The paper explores the effectiveness of gameful design on learning outcomes of waste sorting knowledge with a mobile game app that implements two different learning strategies: repetition and elaboration. In a laboratory experiment, the overall learning outcome of participants who trained with the game was compared to that of participants who trained with standard analogue non-game materials. Furthermore, the effects of two additional, learning-enhancing design elements – repetition and look-up – were analyzed. Learning outcome in terms of long-term retention and knowledge transfer were evaluated through three different testing measures two weeks after the training: in-game, through a multiple-choice test and real-life sorting. The results show that the game significantly enhanced the learning outcome of waste sorting knowledge for all measures, which is particularly remarkable for the real-life measure, as similar studies were not successful with regard to knowledge transfer to real life. Furthermore, look-up is found to be a promising game design element that is not yet established in IS literature and therefore should be considered more thoroughly in future research and practical implementations alike.

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RETRACTED CHAPTER: GarbMAS: Simulation of the Application of Gamification Techniques to Increase the Amount of Recycled Waste Through a Multi-agent System

Cited by 14 publications

References 16 publications

The routledge handbook of catalysts for a sustainable circular economy

The routledge handbook of catalysts for a sustainable circular economy

Virtual agent organizations for user behaviour pattern extraction in energy optimization processes: A new perspective

Gameful Learning for a More Sustainable World

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