On exploiting Data Visualization and IoT for Increasing Sustainability and Safety in a Smart Campus

Ceccarini, Chiara; Mirri, Silvia; Salomoni, Paola; Prandi, Catia

doi:10.1007/s11036-021-01742-4

Cited by 25 publications

(17 citation statements)

References 37 publications

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“…The progress of a smart campus indicates similar progress in several sustainability indicators (Negreiros et al , 2020) which consequently leverages the achievement of the SDGs once a well-known relationship is found in the contribution of smart technologies to the construction of more sustainable university campuses (Némoz, 2015; Villegas-Ch et al , 2019; Kostepen et al , 2020; Adenle et al , 2021; Ceccarini et al , 2021). By contributing to lifelong learning practices (Mazutti et al , 2020) and collective learning (Némoz, 2015), campus safety (Ceccarini et al , 2021), energy efficiency (Negreiros et al , 2020), sustainable mobility (Torres-Sospedra et al , 2015) among others, smart practices on university campuses are closely connected to the SDGs as they are multidisciplinary and include many dimensions of campus life, especially regarding quality education (SDG 4), innovation and infrastructure (SDG 9) and sustainable cities (SDG 11).…”

Section: Introductionmentioning

confidence: 81%

Smart practices in HEIs and the contribution to the SDGs: implementation in Brazilian university

Gasperina

Mazutti

Brandli

et al. 2021

IJSHE

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Purpose Smart campuses can be seen as the future of higher education efforts, especially for their contributions to sustainability and to encourage innovation. This paper aims to present the benefits of smart practices in a Higher Education Institutions and highlights its connections to the sustainable development goals (SDGs). Design/methodology/approach The methodology is divided into three steps: first, an international search and assessment of smart practices at universities; second, the identification of smart practices in a university campus in southern Brazil; and third, the presentation of the benefits of smart practices and their relationship with the SDGs. Findings The results showed that globally, the area most covered by smart practices in universities is the environment and, specifically, focused on waste reduction. in the context of this case study, the benefits of implementing smart practices mainly reach SDGs 4 and SDG 9, especially due to aspects of teaching technologies for the new classroom models and the optimization of campus infrastructure management. Practical implications The study encourages other universities to implement smart practices in their campuses, to becoming smart campuses while they also collaborate in achieving the SDGs while raising the discussion on the importance of committed actions taken on a university campus with the UN SDGs, to leverage synergies on campus operations at universities. Originality/value This paper presents a set of smart practices that universities are applying both globally and locally (in southern Brazil). In addition, it contributes to sustainability research by showing how smart practices have the potential to promote SDGs in universities, especially through campus operations.

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Section: Introductionmentioning

confidence: 81%

Smart practices in HEIs and the contribution to the SDGs: implementation in Brazilian university

Gasperina

Mazutti

Brandli

et al. 2021

IJSHE

View full text Add to dashboard Cite

show abstract

“…Moral et al proposed an integrated modeling language to formulate the information visualization system's conceptual model and gave several examples of information visualization [45]. According to data visualization and technology of IoT, Ceccarini et al created and applied a test platform, which can enhance the sustainable development and security of the campus [56]. Keim proposed a classification of information visualization and visual data mining technology [57].…”

Section: Data Visualizationmentioning

confidence: 99%

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites

Xiong

Yan

Yao³

et al. 2022

Information

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In order to facilitate designers to explore the market demand trend of laptops and to establish a better “network users-market feedback mechanism”, we propose a design and research method of a short text mining tool based on the K-means clustering algorithm and Kano mode. An improved short text clustering algorithm is used to extract the design elements of laptops. Based on the traditional questionnaire, we extract the user’s attention factors, score the emotional tendency, and analyze the user’s needs based on the Kano model. Then, we select 10 laptops, process them by the improved algorithm, cluster the evaluation words and quantify the emotional orientation matching. Based on the obtained data, we design a visual interaction logic and usability test. These prove that the proposed method is feasible and effective.

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“…To summarize, despite the relevance of the role of occupants in relation to smart buildings, the visualizations that display environmental data from BMSs have a specific objective: monitor, manage or control the building [24,25]. Hence, the challenge is how to design visualizations that target non-expert building occupants to provide clear and meaningful insights that can eventually foster their awareness.…”

Section: Smart Building Data Visualizationmentioning

confidence: 99%

Designing Interfaces to Display Sensor Data: A Case Study in the Human-Building Interaction Field Targeting a University Community

Ceccarini

Mirri

Prandi

2022

Sensors

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The increase of smart buildings with Building Information Modeling (BIM) and Building Management Systems (BMS) has created a large amount of data, including those coming from sensors. These data are intended for monitoring the building conditions by authorized personnel, not being available to all building occupants. In this paper, we evaluate, from a qualitative point of view, if a user interface designed for a specific community can increase occupants’ context-awareness about environmental issues within a building, supporting them to make more informed decisions that best suit their needs. We designed a user interface addressed to the student community of a smart campus, adopting an Iterative Design Cycle methodology, and engaged 48 students by means of structured interviews with the aim of collecting their feedback and conducting a qualitative analysis. The results obtained show the interest of this community in having access to information about the environmental data within smart campus buildings. For example, students were more interested in data about temperature and brightness, rather than humidity. As a further result of this study, we have extrapolated a series of design recommendations to support the creation of map-based user interfaces that we found to be effective in such contexts.

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On exploiting Data Visualization and IoT for Increasing Sustainability and Safety in a Smart Campus

Cited by 25 publications

References 37 publications

Smart practices in HEIs and the contribution to the SDGs: implementation in Brazilian university

Smart practices in HEIs and the contribution to the SDGs: implementation in Brazilian university

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites

Designing Interfaces to Display Sensor Data: A Case Study in the Human-Building Interaction Field Targeting a University Community

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