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Functioning as space connectors, path structures in urban parks may rarely present social interaction opportunities, although centralized activity spaces are available. This paper investigated the interrelationships between the visual and physical accessibility attributes of path structure and their impacts on passive social interaction intensity across urban parks in Kuala Lumpur.

The concept of social interaction has been studied elsewhere in social cohesion, social affiliation and sense of communication. Still, it has not been studied in the context of urban park design. This study employed mixed methods using an adaptive and unique combination of qualitative and quantitative data collections to analyze urban parks with a bit of visual vegetation barrier. The experiential landscape method was applied to determine visual accessibility by interpreting experiential landscape maps. The space syntax method based on quantitative analysis is considered to measure physical accessibilities and vigorous activities along the designated paths by conducting integration analysis and gate observation. The data were crossed-analyzed using a Geographic Information System (GIS) classification technique, correlation analysis and Microsoft combo-charts to generate the relationship between patterns of activities and their accessibilities.

The results suggested that designated paths with higher accessibility attributes, impressively more elevated than other tracks, could influence the intensity of passive social interactions. The findings supported the understanding that activity nodes and active areas adjoining designated routes could make accessibility attribute areas more critical. These findings verify that visually enriching the spaces along the path structure toward activities is a pivotal contributor to urban planners and designers to enhance the paths’ local integration (LI) and visual accessibility to predict more passive eye contact among park visitors.

The proposed interrelationship among variables in this study has limitations because of not considering other qualitative methods and techniques like cognitive maps and interview simultaneously. These techniques could discover why some paths generate more passive eye contact among park users (Mohammadi Tahroodi, 2018).

Kuala Lumpur Structure Plan 2020 emphasizes Kuala Lumpur’s unique image as a tropical garden city via preserving and developing the iconic historical urban parks in the city center (CHKL, 2004, pp. 3–3). The latest Draft Kuala Lumpur Structure Plan 2040 has outlined the strategy to achieve a conducive, good-quality neighborhood that encourages social interaction. The findings could assist urban planners and designers better public parks by considering accessibility and permeability aspects of design. This research endorses the appropriateness of interrelationship between accessibility attributes of path structure and social interaction in urban design research, which local urban designers have not fully considered until now. Evaluating the visual convenience of designated paths and assessing LI of the axial lines constructing each designated route of urban parks during the primary stage could enable urban designers to estimate to what extent the paths are accessible and respond to passive social interaction. Then they could enrich with salient landmarks, views and activity nodes to make them attractive. The considerable number of designated paths connections, specifically while they shape the sides of activity nodes, could increase the connectivity and integration of spaces within the parks. These patterns of positioning the activity nodes make the designated routes more legible and provide ease of movement. As a result, it will give urban park users more information about the activities. Allowing people to use the paths will increase people’s presence and, subsequently, passive social interaction. One way is to locate accessible lands that provide social activities at direct visual access paths within urban parks for legibility.

The socially responsive urban design enhances the quality of life and provides life satisfaction, happiness and society’s overall health. Being in urban social parks in any passive and active situations has psychological benefits. It facilitates relief and rests from a stressful modern lifestyle that significantly impacts their mental health and well-being. The framework applied in this research integrates the social, spatial and physical aspects of parks design. With this regard, principles and indicators facilitate physically and socially attractive urban parks for Kuala Lumpur city center and applicable to similar contexts elsewhere.

The concept of social interaction has been studied elsewhere in social cohesion, social affiliation and sense of communication. Still, it has not been studied in the context of urban park design. This study employed mixed methods using an adaptive and unique combination of qualitative and quantitative data collections to analyze urban parks with a bit of visual vegetation barrier.

Enterprises often use anthropomorphic images to display products. In this study, by discussing the differences of the anthropomorphic images of juxtaposition and fusion, the authors can distinguish the boundary conditions of the influence of different visual object structures on consumers' attention.

Based on schema theory and information processing theory and using eye movement methods, this study analyzed the attractiveness of anthropomorphic images to consumers under different congruence levels through experiments of 2 (congruence: high and low) *2(visual object structure: juxtaposition and fusion)*2(self-construct: interdependent and independent). This study discusses the difference in the attractiveness of interdependent and independent consumers in the context of high congruence, juxtaposition and fusion of two visual object structures.

The results show that compared with the low congruence anthropomorphic image, the high congruence anthropomorphic image can attract more attention of consumers. In the case of low compatibility of anthropomorphic images, the juxtaposition structure of anthropomorphic images is more attractive to consumers than the fusion structure. In the case of high compatibility of anthropomorphic images, for independent self-consumers, the attraction of fusion structure image is higher than the juxtaposition image, and for interdependent self-consumers, the attraction of juxtaposition image is higher than the fusion image.

The conclusion enriches the anthropomorphic marketing theory. It reveals different degrees of attention paid to anthropomorphic image by consumers of different types of self-construct. Eye movement methods provide a new perspective for the study of anthropomorphic marketing and provide a reference for enterprises to publicize products or services through anthropomorphic image.

Auditors’ skills and knowledge of data analytics and big data can influence their judgment at the audit planning stage. At this stage, the auditor will determine the level of audit risk and estimate how long the audit will take. This study aims to test whether big data and data analytics affect auditors’ judgment by adopting the cognitive fit theory.

This was an experimental study involving 109 accounting students as participants. The 2 × 2 factorial design between subjects in a laboratory setting was applied to test the hypothesis.

First, this study supports the proposed hypothesis that participants who are provided with visual analytics information will rate audit risk lower than text analytics. Second, participants who receive information on unstructured data types will assess audit risk (audit hours) higher (longer) than those receiving structured data types. In addition, those who receive information from visual analytics results have a higher level of reliance than those receiving text analytics.

This research has implications for external and internal auditors to improve their skills and knowledge of data analytics and big data to make better judgments, especially when the auditor is planning the audit.

Previous studies have examined the effect of data analytics (predictive vs anomaly) and big data (financial vs non-financial) on auditor judgment, whereas this study examined data analytics (visual vs text analytics) and big data (structured and unstructured), which were not tested in previous studies.

Graphic-based tag clouds aim to visually represent tag content and tag structure, and then to better represent tagged information for later search. However, few studies have clarified the features among varied visualization approaches involved in graphic-based tag clouds and compared them for the purpose of information search.

After reviewing four kinds of graphic-based tag clouds, an experimental demonstration was conducted in our study to verify how user performs in information search for a general seeking task by using them. Precision ratio, recall ratio, clicks on search and time for search were four variables tested in the experiment. Also, two supplementary tests were respectively carried out to manifest how graphic-based tag clouds contributed to the identification of target tags and tag clusters.

The experimental results showed that compared to tag content visual tag structure was more important to find related tags from tag clouds for information search. In addition, tag clouds that visually represented the semantic relationships within tags could make user more confident about their search result and carry out a shorter learning process during searching, which signified a tag-based information search path when visual elements were applied.

This research is one of the first to illustrate systematically the graphic-based tag clouds and their impacts on information search. The research findings could suggest on how to build up more effective and interactive tag clouds and make proposition for the design of search user interface by using graphic-based tag clouds.

The purpose of this paper is to investigate the current visual management (VM) practices in highways construction projects in England.

Following a comprehensive literature review, the research topic was investigated by using five case studies and focus groups.

The main findings are the current implementation of VM is limited, particularly on the construction field, there are some identified points (suggestions) that require attention to disseminate and advance the current practices further many conventional and Building Information Modelling (BIM)-based opportunities to extend the current VM implementations exist for the sector.

The highways construction and maintenance sector in England has been systematically deploying lean construction techniques in its operations for a while. One of those lean techniques is a close-range visual communication strategy called VM. The literature on the VM implementation in construction is scarce and generally limited to the building construction context. This paper documents the current industry practice in conventional and BIM-based VM and identifies a set of recommendations and some VM ideas for future implementation efforts in the highways construction and maintenance sector.

Visual Distinctive Language (VDL)-based iconic tags are structured visual information annotation. They explicate the content and organization of tagged information by graphical and symbolic features in order to improve the vocabulary problems of textual tags. The purpose of this paper is to investigate how these special icons help in tagged-based user information searching.

A two-stage experiment was designed and conducted so as to follow and quantify the searching process in specific searching target case and no specific searching target case when using VDL-based iconic tags.

The experimental results manifested that VDL-based iconic tags enhanced the role of tag in information searching. They could make user better understand tag clusters, which, in turn, provide global structure of involved topics. Also, VDL-based iconic tags helped user to find out searching target more quickly with higher accuracy by taking advantages of visual representation of tag categories and symbolic signification of tag content.

This study is one of the first to verify how structured icons work in information searching and how user’s graphical cognition impacts on tag-based information searching process. The research findings are dedicated to the theory of VDL-based iconic tags, as well as to a new visualization method for search user interface design.

At the beginning of any conceptual work concerning communication management, there is a demand for a deeper understanding of the problem that needs to be addressed and for the context in which it occurs. Communication management practice mostly relies on instruments like briefings, structured interviews or classic controlling data, when it comes to an analysis of organisational structures. This chapter shows that the potentials of a more constructivist perspective and a qualitative methodology can be useful to find out what is really at stake. It presents creative visualisation of organisational contexts and visual grounded theory methodology by the example of internal communication management.

The construction industry produces voluminous quantitative data. Much of this data is created during the controls phase of projects and relates to cost, schedule, and administrative information. Recent storage and processing advances in computers as well as display capabilities afforded by computer graphics increase the opportunity to monitor projects fundamentally different from existing project control systems. However, changes in project control methods have been slow to evolve. The lack of a fundamental model of project control data representation contributes to the inadequate application and implementation of visual tools in project control methods. Difficulties associated with the graphical representation of data can be traced to the diversity of skills required in creating visual information displays. Owing to the reality that not all engineers/constructors possess these attributes in great strength, streamlining the process of how to best visualize data is important. Visual representations of data hold great potential for reducing communication difficulties fostered by industry fragmentation. However, without information structure, organization, and visual explanations, the massive amount of data available to project managers results in information overload. Therefore, improved information displays are needed to overcome the possibility of information overload with the capability of human perception. This paper discusses research to create a framework for visual representation of construction project data. Underlying visualization theory, the visual framework, and a detailed implementation are provided.

The purpose of this paper is to explore the benefits of visual management (VM) systems in transportation construction projects in England.

Following a comprehensive literature review, the benefits of VM were investigated through action and case study research executed within two construction projects in England.

The main findings are: VM can contribute to increased self-management, better team coordination, better promises or an increasing plan percent complete, easier control for the management and improved workplace conditions in the transportation sector. It is important for the management to obtain the engagement of their workforce for VM through increased participation and show the actual benefits. However, managerial monitoring and control on the systems should not be underestimated.

The transportation sector in England has been systematically deploying Lean construction techniques in its operations for a while. One of those Lean techniques is a close-range visual communication strategy called VM. The literature on the VM implementation in construction is scarce and generally limited to the building construction context. This paper documents the benefits of VM systems for the transportation sector by using data captured through both qualitative and quantitative data collection methods. The paper also identifies a set of recommendations for similar research efforts in the transportation context in the future.

In 2018, the Centers for Disease Control and Prevention (CDC) released the statistic that 1 out of every 59 children had a diagnosis of autism spectrum disorder (ASD). Young children with ASD have unique needs specifically related to the characteristics that impact their communication and social emotional and behavioral development. These unique needs require early and intensive intervention to minimize their lifelong impact. It is important to identify and use evidence-based interventions to help parents support their children at home, and as a continuation of the skills they are being taught in other settings. This chapter will address the prevalence of young children with ASD, the impact and need for family involvement in intervention, and service provision and potential interventions.