Simplicity is not key: Understanding firm-generated social media images and consumer liking

Social media platforms are becoming increasingly important marketing channels, and recently these channels are becoming dominated by content that is not textual, but visual in nature. In this paper, we explore the relationship between the visual complexity of firm-generated imagery (FGI) and consumer liking on social media. We use previously validated image mining methods, to automatically extract interpretable visual complexity measures from images. We construct a set of six interpretable measures that are categorized as either (1) feature complexity measures (i.e., unstructured pixel-level variation; color, luminance, and edges) or (2) design complexity measures (i.e., structured design-level variation; number of objects, irregularity of object arrangement, and asymmetry of object arrangement). These measures and their interpretability are validated using a human subject experiment. Subsequently, we relate these visual complexity measures to the number of likes. The results show an inverted u-shape between feature complexity and consumer liking and a regular u-shape relationship between design complexity and consumer liking. In addition, we demonstrate that using the six individual measures that constitute feature- and design complexity provides a more nuanced view of the relationship between the unique aspects of visual complexity and consumer liking of FGI on social media than observed in previous studies that used a more aggregated measure. Overall, the automated framework presented in this paper opens up a wide range of possibilities for studying the role of visual complexity in online content.     

Using photo-surveys to inform participatory urban planning processes: Lessons from practice

Photography based methods have been under-utilised as a participatory tool to inform urban planning and decision making processes on citizens’ concerns, although they present several potential advantages in terms of facilitating communication on complex aspects to decision-makers. In this paper we explore the potentialities and limitations of Photo-Surveys (PS) for this purpose drawing upon the case of Thornbury, a small town in the Southwest of England. We organised a PS exercise where participants were asked to take photos on positive and negative aspects of their town. Participants were then interviewed to discuss their photos.PS allowed obtaining high amount of in-depth information with a lower number of participants than other methods, helping to build an improved understanding of some of the issues identified. Some of the PS criticisms found in the literature such as reliability and objectivity in the interpretation of results (photos) and depth of the information gathered could be demystified. One of the main findings was that aspects that could be deemed as of difficult visual representation (e.g., feelings, past events, abstract aspects) were present in the photos.Given the low number of participants, views gathered cannot be seen as representative, but they provide interesting insights about living in Thornbury and support reflection upon the use of the method. PS also worked as an entry point to some of Thornbury's social networks, allowing the authors to get acquainted with the community, thus paving the ground for further participatory work. However, there some issues regarding anonymity that will need to be dealt with.PS asks for little knowledge on the town and on the main issues affecting the population, and therefore, can be useful for developing surveys and questionnaires, as a tool for participatory rural appraisal or participatory active research. It can also be used for gathering views in the early stages of the evaluation of plans and projects, explore an issue more in deep including an array of stakeholder perspectives on the matter.     

基于DCL的参数化绘图通用对话框设计

介绍在AutoCAD环境下采用Visual LISP语言及对话框设计语言(DCL)开发的通用参数化设计对话框函数。对于使用Visual LISP二次开发参数化设计或绘图程序的用户,可直接调用该函数,通过对函数代入参数,即可显示图形与参数直观对应的对话框,并可直观确定选定的参数。用户不必编写繁杂的对话框管理程序,即可写出较专业的参数设计与绘图的Visual LISP程序。     

销售管理系统的设计与实现

本系统运用VB技术,以SQL Server 2000为后台数据库,开发了一套为企业服务的销售管理系统。利用该系统可以为决策者和管理者提供全面的销售信息和商品信息,便于决策者及时掌握市场动态和本企业的生产状况,有效地对企业经营策略进行调整。     

城市规划管理中视觉景观的控制方法

本文通过研讨欧洲与香港的视觉景观控制方法，通过分析其优点与不足，为我们更加合理的借鉴与发展规划管理中的视觉景观控制方法提供参考。     

Marketing Applications of Three-Dimensional Stereography

Though the techniques of three-dimensional stereography have existed for 150 years and have been widely used in various scientific disciplines, they have seldom found their way into the marketing mainstream. Yet the applications of stereo 3-D approaches may contribute to enhanced vividness, clarity, realism, and depth in the presentation of stimulus materials, collection of data, analysis of results, and communication of findings by marketing researchers as well as in the design and implementation of marketing-mix strategies by marketing managers. Accordingly, as an introduction to stereographic methods, the present paper demonstrates the power of stereo 3-D and illustrates some potential uses of such effects in the visualization of marketing-related information.W. T. Dillard Professor of Marketing     

基于Web模式的多功能财务管理系统的设计与实现

随着我国工业经济的崛起和企业精细化管理趋势,通过信息化手段加强对企业的财务管理和控制,成为企业经营管理理念的一个重要组成部分。为此,笔者在本文中就介绍了一套基于Web模式的多功能财务管理系统,并就该系统的设计和应用做了具体的分析。     

我国会计软件发展趋势展望

目前 ,我国会计软件产业已初具规模 ,会计软件职能已日趋完善 ,但与国外软件发展水平相比仍存在一定的差距。故本文对今后我国会计软件的发展趋势作一展望 ,以希望我国会计软件有一长足发展。     

Community design of a light rail transit-oriented development using casewise visual evaluation (CAVE)

This paper proposes the casewise visual evaluation or CAVE, methodology and discusses its application to the participatory design of a transit-oriented development (TOD) in Louisville, Kentucky. CAVE is a fuzzy logic-based non-linear visual preference modeling system designed to provide design element guidance from composite visual scenarios under conditions of sparse data.The context of application in a low-income urban neighborhood is detailed. An architectural expert's design vocabulary allows model input and output to be structured. A small set of image samples was scored for preference using anonymous electronic polling in distributed neighborhood forums. Using fuzzy set theoretic software a community preference knowledge base (PKB) was built and interrogated. Four critical TOD design dimensions were selected: height, typology, density, and open space type. Preferred TOD design combinations were identified using the PKB and discussed. This project shows that CAVE can provide context-specific guidance for urban designers and that its strengths in effectively devolving design input and capturing local preferences are recognized by the community. The paper highlights the necessity for advanced geovisual analytic methods to be embedded into a structured public involvement (SPI) process.