Gamified eco-driving : A systematic literature review

Due to the ongoing social turmoil and the climate crisis, passenger road vehicles face increasing pressure to improve energy-efficiency. A central aspect of this endeavor is to motivate drivers to adopt a more energy-efficient driving style. In that respect, the use of information systems (IS) can be a game changer. Among motivational IS, especially gamification is a promising approach to encourage eco-driving as it has the potential to direct user behavior by providing positive experiences like those experienced when playing games. However, despite the emerging interest on gamified eco-driving, there is a lack of comprehensive understanding on how gamification has been applied in the eco-driving domain, hindering the understanding of how it should be designed in this context and what areas need further research inquiries. Therefore, this study synthesizes existing research on gamified eco-driving (17 studies) through a systematic literature review. Based on the results, performance-based and social gamification are most applied, while they aim at encouraging a relatively comprehensive set of different ecodriving behaviors by addressing the motivational hurdles related to eco-driving. We encourage future research endeavors to consider a wider variety of gamification types and be more transparent about the goals of implementing gamification and evaluate the psychological effects accordingly.Peer reviewe

On combining Big Data and machine learning to support eco-driving behaviours

A conscious use of the battery is one of the key elements to consider while driving an electric vehicle. Hence, supporting the drivers, with information about it, can be strategic in letting them drive in a better way, with the purpose of optimizing the energy consumption. In the context of electric vehicles, equipped with regenerative brakes, the driver\u2019s braking style can make a significant difference. In this paper, we propose an approach which is based on the combination of big data and machine learning techniques, with the aim of enhancing the driver\u2019s braking style through visual elements (displayed in the vehicle dashboard, as a Human\u2013Machine Interface), actuating eco-driving behaviours. We have designed and developed a system prototype, by exploiting big data coming from an electric vehicle and a machine learning algorithm. Then, we have conducted a set of tests, with simulated and real data, and here we discuss the results we have obtained that can open interesting discussions about the use of big data, together with machine learning, so as to improve drivers\u2019 awareness of eco-behaviours

Implementing sustainability in product portfolio development through digitalization and a game-based approach

The aim of this research is to explore if and how digitalization and a game-based approach can improve the usability and implementation of sustainable design methods and tools in a product development process. Based on semi-systematic literature review, advantages and limitations of digitalization and game-based approaches in this context were identified. A previously developed method that guides the implementation of a strategic sustainability perspective in product portfolio development, was then selected and elements of digitalization and game-based approaches were incorporated in its four building blocks: double-flow scenario modeling, sustainability assessment, market success assessment, and portfolio development. The resulting prototype of this method was further adapted after feedback gathered through expert interviews and then tested in workshops with industry and academia. It was found that digitalization was especially useful for the scenario simulation, data management, and automatic visualization of results, while the benefits of the game-based approach were enhanced motivation, collaboration, and co-design of results and solutions. At the same time, drawbacks were discovered, for example related to decreased transparency of how results are calculated, overuse of visualization and extrinsic rewards, leading to lack of clarity and trust in the results. In conclusion, there are synergies between digitalization and game-based approaches that can improve the usability of sustainable design methods and tools, but extensive testing is recommended to avoid pitfalls that can lead to opposite effects. Moreover, recommendations were identified for how to include digitalization and a game-based approach, for example, to enable integration with other tools, maintenance and constant update, to explore the benefits of team-based assessments and collaboration, to add diversity and customization, and to link the game to the user\u27s context, application, expectations and requirements

'Inside the box': a cooperative game for co-creating energy efficient retail spaces

Although sustainability is one of the drivers of change in the retail sector, employees still treat energy management as a lower priority compared with other operational tasks. As digital technologies are flourishing, gamification is an emerging method of raising energy awareness, with most examples however targeting individuals, and therefore not supporting teamworking approaches to handling end user building energy demand. As such, combining behavioural incentivisation and technological development is a critical socio-technical challenge within the retail environments. The development of a new cooperative role-playing game that harnesses the participatory character of game theory to boost collegiality and encourage the energy-conscious behaviour of staff in a supermarket located in the UK, is described. By feeding the game with energy simulation results, this can be regarded as a novel synergy between behavioural science and game theory within the field of building energy. Future research will focus on testing the real-world potential of the game to engage retail staff in co-creating energy efficient stores

iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings

Providing personalized energy-use information to individual occupants enables the adoption of energy-aware behaviors in commercial buildings. However, the implementation of individualized feedback still remains challenging due to the difficulties in collecting personalized data, tracking personal behaviors, and delivering personalized tailored information to individual occupants. Nowadays, the Internet of Things (IoT) technologies are used in a variety of applications including real-time monitoring, control, and decision-making due to the flexibility of these technologies for fusing different data streams. In this paper, we propose a novel IoT-based smartphone energy assistant (iSEA) framework which prompts energy-aware behaviors in commercial buildings. iSEA tracks individual occupants through tracking their smartphones, uses a deep learning approach to identify their energy usage, and delivers personalized tailored feedback to impact their usage. iSEA particularly uses an energy-use efficiency index (EEI) to understand behaviors and categorize them into efficient and inefficient behaviors. The iSEA architecture includes four layers: physical, cloud, service, and communication. The results of implementing iSEA in a commercial building with ten occupants over a twelve-week duration demonstrate the validity of this approach in enhancing individualized energy-use behaviors. An average of 34% energy savings was measured by tracking occupants’ EEI by the end of the experimental period. In addition, the results demonstrate that commercial building occupants often ignore controlling over lighting systems at their departure events that leads to wasting energy during non-working hours. By utilizing the existing IoT devices in commercial buildings, iSEA significantly contributes to support research efforts into sensing and enhancing energy-aware behaviors at minimal costs

Digital Construction Strategies and BIM in Railway Tunnelling Engineering

Technology has been a strong driver for industrial efficiency in the twenty-first century. Rapid growth in infrastructure projects such as tunnels is synonymous with both disruptive and supportive technologies that automate operations. The sector has rapidly risen to the challenge from buyers demanding a more digitalised experience when looking to (re)design new tunnels. Currently there are projects in the United Kingdom, Greece and Italy investing in tunnels for their transport networks to help commuters to travel quicker. We could argue that construction has evolved because the tunnels developed nowadays are expected to last for several generations but such an argument is count intuitive. Think of having to spend billions of pounds for a tunnel that does not provide an enhanced travel experience and in a few years’ time requiring a major investment to remodel in order to operate it. This chapter discusses what, why and how digital construction can add value during the lifecycle of a tunnel

Gamification of telematics data to enhance operators’ behaviour for improvement of machine productivity in loading cycles

Construction industry is suffering from low productivity rate in various projects such as excavation. Although this issue is discussed in literature and several approaches are proposed to address it, productivity rate is still low in construction industry compared to other domains like manufacturing. Three core components directly affect the overall productivity in construction sector, i.e. labour productivity, raw material productivity, and machine or equipment productivity. With a focus on construction machinery, three factors influence productivity at excavation sites; i.e. 1) machine-based productivity and its configuration, 2) site layout and environmental conditions, and 3) operators’ behaviour. Operators’ competence and motivation represent two key parameters that affect their behaviour. On one side, gamification has attracted a growing area of interest both in literature and practice, seeking to place a layer of entertainment and pleasure to the top of serious activities (with a focus on improving the applicant’s motivation and behaviour). On the other side, telematics systems are utilized to collect operational data of the machine, and calculate its productivity rate. Telematics data are presented to operators (via a built-in screen available in the cabin of the machine) to provide real-time feedback about machine performance. In addition, these data can support machine owners to perceive operators’ behaviour on a real-time basis. To conclude, telematics systems are providing real-time data which can be a great input into gamification. A guideline is proposed in this dissertation that helps gamification designers to develop more transparent gamification models. This guideline is utilized to introduce a gamification model that gamifies telematics data with a focus on enhancing operators’ behaviour (machine productivity) in loading and transferring activities. The model was implemented at two sites(one recycling and one mining site) and could encourage operators (who were operating wheel-loaders and dump-trucks) to prevent redundant activities like texting, phoning, and even eating while operating the machine. Subsequently, it enhanced overall machine productivity up to 37% during the site observation. To summarize, a gamified platform in which different operators from different organizations can share their achievements, or can get scored and ranked in a leader-board will potentially lead to a more proper operators’ behaviour at work and subsequently can improve overall productivity rate at construction sites

Draft of innovation and research roadmap

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Gamification of telematics data to enhance operators’ behaviour for improvement of machine productivity in loading cycles

Construction industry is suffering from low productivity rate in various projects such as excavation. Although this issue is discussed in literature and several approaches are proposed to address it, productivity rate is still low in construction industry compared to other domains like manufacturing. A gamified platform in which different operators from different organizations can share their achievements, or can get scored and ranked in a leader-board will potentially address this issue