Designing Dashboard for Exploring Tourist Hotspots in Bangladesh

Islam, Tariqul; Islam, Rafiqul; Akter, Sanjita; Kawser, Mohsina

doi:10.1109/iccit51783.2020.9392708

Cited by 7 publications

(5 citation statements)

References 21 publications

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“…In both public and private sectors, their use is widespread, encompassing urban management and public health [102,103], playing a crucial role in disease tracking [101], to logistics and retail planning [104]. In the tourism sector, they add significant value by integrating spatial components into visualization, indicator generation, and implemented analytical tools [90,105,106]. With the increasing availability of real-time data and the adoption of technologies like artificial intelligence and machine learning, geo-dashboards are evolving into smarter and more predictive platforms [107].…”

Section: Referencesmentioning

confidence: 99%

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Ordóñez-Martínez,

Seguí-Pons,

Ruiz-Pérez

2024

Smart Cities

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The data sharing strategy involves understanding the challenges and problems that can be solved through the collaboration of different entities sharing their data. The implementation of a data space in Mallorca is based on understanding the available data and identifying the problems that can be solved using them. The use of data through data spaces will contribute to the transformation of destinations into smart tourism destinations. Smart tourism destinations are considered as smart cities in which the tourism industry offers a new layer of complexity in which technologies, digitalization, and intelligence are powered by data. This study analyzes four scenarios in which geo-dashboards are developed: flood exposure of tourist accommodation, land-cover changes, human pressure, and tourist uses in urban areas. The results of applying the geo-dashboards to these different scenarios provide tourists and destination managers with valuable information for decision-making, highlighting the utility of this type of tool, and laying the foundations for a future tourism data space in Mallorca.

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Section: Referencesmentioning

confidence: 99%

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Ordóñez-Martínez,

Seguí-Pons,

Ruiz-Pérez

2024

Smart Cities

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“…Although several existing evaluation studies and experiments are helpful, there is an increasing demand for alternative evaluation methods that provide measurable advantages that promote the comprehensive adoption of interactive VAS Christmann et al 24 Therefore, evaluation strategies' play an increasingly important role in many domains because users may obtain unexpected findings that challenge their preconceived opinions, prompt new ideas, and lead to significant breakthroughs. 34,35 Interactive VAS is used to gain insight into vast volumes of abstract data, such as tables, hierarchies, and networks. These visualizations extend beyond conventional reports and records and prove valuable in various domains, including big data analysis Keim et al, 37 health care analysis Stadler et al, 19 customer behavior analysis Abdulla et al, 38 natural language processing Tupikovskaja-Omovie and Tyler, 39 recommendation systems Varu et al, 14 fintech ecosystems Basole and Patel, 40 and tourism management systems Almaimoni et al 41 The goal is to recognize patterns, structures, and anomalies, allowing specialists to evaluate large amounts of data.…”

Section: Role Of Evaluation Strategies In Visualization Researchmentioning

confidence: 99%

Section: Background Studymentioning

confidence: 99%

Strategies for evaluating visual analytics systems: A systematic review and new perspectives

Islam,

Akter,

Islam

et al. 2023

Information Visualization

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In recent times, visual analytics systems (VAS) have been used to solve various complex issues in diverse application domains. Nonetheless, an inherent drawback arises from the insufficient evaluation of VAS, resulting in occasional inaccuracies when it comes to analytical reasoning, information synthesis, and deriving insights from vast, ever-changing, ambiguous, and frequently contradictory data. Hence, the significance of implementing an appropriate evaluation methodology cannot be overstated, as it plays a pivotal role in enhancing the design and development of visualization systems. This paper assesses visualization systems by providing a systematic exploration of various evaluation strategies (ES). While several existing studies have examined some ES, the extent of comprehensive and systematic review for visualization research remains limited. In this work, we introduce seven state-of-the-art and widely recognized ES namely (1) dashboard comparison; (2) insight-based evaluation; (3) log data analysis; (4) Likert scales; (5) qualitative and quantitative analysis; (6) Nielsen’s heuristics; and (7) eye trackers. Moreover, it delves into their historical context and explores numerous applications where these ES have been employed, shedding light on the associated evaluation practices. Through our comprehensive review, we overview and analyze the predominant evaluation goals within the visualization community, elucidating their evolution and the inherent contrasts. Additionally, we identify the open challenges that arise with the emergence of new ES, while also highlighting the key themes gleaned from the existing literature that hold potential for further exploration in future studies.

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“…It is also one of the significant sources of employment. Several studies have presented the greatest exploration of the tourism management sector, suggest various strategies to enrich the tourism sector more deeply while advanced technology brings the biggest blast in the tourism industry [53]. For example, Li and Huang [73] demonstrated the concept of smart tourism and applying the concept in China's tourism information services which strengthen their tourism sector.…”

Section: Tourism Managementmentioning

confidence: 99%

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions

Islam¹,

Akter²,

Ratan³

et al. 2021

HCIS

Self Cite

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Visual interactive system (VIS) has been received significant attention for solving various complex problems. However, designing and implementing a novel VIS with the large scale of data is a challenging task. While existing studies have applied various visual analytics (VA) to analyze and visualize insightful information, deep visual analytics (DVA) have considered as a promising technique to provide input evidences and explain system results. In this study, we present several deep learning (DL) techniques for analyzing data with visualization, which summarizes the state-of-the-art review on (i) big data analysis, (ii) cognitive and perception science, (iii) customer behavior analysis, (iv) natural language processing, (v) recommended system, (vi) healthcare analysis, (vii) fintech ecosystem, and (viii) tourism management. We present open research challenges for emerging DVA in the visualization community. We also highlight some key themes from the existing literature that may help to explore for future study. Thus, our goal is to help readers and researchers in DL and VA to understand key aspects in designing VIS for analysing data.

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Designing Dashboard for Exploring Tourist Hotspots in Bangladesh

Cited by 7 publications

References 21 publications

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Strategies for evaluating visual analytics systems: A systematic review and new perspectives

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions

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