Finding business information by visualizing enterprise document activity

Wang, Xiaoyu; Janssen, Bill; Bier, Eric A.

doi:10.1145/1842993.1843001

Cited by 4 publications

(7 citation statements)

References 17 publications

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“…They further provide a testing ground to verify and validate the design framework. Our design framework is grounded in actual system development with three groups of professionals in different organizational settings: bridge-asset managers in The U.S. Department of Transportation [58], who propose and execute strategic bridge maintenance plans; business analysts from Xerox [59], who retrieve and analyze documents for information essential to the operation of the business; and network-asset managers from Microsoft, who monitor and maintain the operations of back-end server farms [64]. The developments of these VA systems were carried out through close examination of domain users' analytic workflows and interviews of their analytical actions that are taken to achieve each task.…”

Section: 1mentioning

confidence: 99%

“…More importantly, they should follow the results of this analysis to match designs with user's technical skills, minimizing any potential cognitive overheads. For example, while both Taste [59] and Document Card [53] were designed to perform similar document activity analysis, given the constraints on the user's hardware and their technical needs, Taste was designed for a more confined screen space, with both detail view and aggregated overviews.…”

Section: Component (C2): Analytical Requirementsmentioning

confidence: 99%

“…Following ethnographic methodologies [65], typical methods to perform the task analysis are semi-structured interview [59], surveys [58], and on-site observations.…”

Section: Component (C2): Analytical Requirementsmentioning

confidence: 99%

“…Given the diverse design context in different organizations, designers need to carefully select prototyping methods. For example, given the requirement of a deployable product within 10 weeks, we applied the evolutionary prototyping [43] method in our collaboration with Xerox [59]. This prototyping method guarantees more design iterations and, more importantly, allows the deployment of a robust system in a structured manner.…”

Section: 222mentioning

confidence: 99%

“…Further, what recommendations exist that specify the appropriate methods for supporting both general and individual analytical workflows? Encouraged by the discussions in the VAC consortium 2010 [1], the authors of this paper resolved to document their experiences with VA framework design.In the pursuit of a general VA design framework, we grounded the conceptualization of such a framework in our collaborations with three organizations [58,59,64], and materialized the framework by integrating guidelines from existing literature [41], [61] with our experience. We started by designing the framework to fit the emerging characteristics of the field of visual analytics, and further enriched its components based on our design practices and the novel ideas presented by others.…”

mentioning

confidence: 99%

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A two-stage framework for designing visual analytics system in organizational environments

Wang

Dou

Butkiewicz

et al. 2011

2011 IEEE Conference on Visual Analytics Science and Technology (VAST)

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A perennially interesting research topic in the field of visual analytics is how to effectively develop systems that support organizational users' decision-making and reasoning processes. The problem is, however, most domain analytical practices generally vary from organization to organization. This leads to diverse designs of visual analytics systems in incorporating domain analytical processes, making it difficult to generalize the success from one domain to another. Exacerbating this problem is the dearth of general models of analytical workflows available to enable such timely and effective designs.To alleviate these problems, we present a two-stage framework for informing the design of a visual analytics system. This design framework builds upon and extends current practices pertaining to analytical workflow and focuses, in particular, on incorporating both general domain analysis processes as well as individual's analytical activities. We illustrate both stages and their design components through examples, and hope this framework will be useful for designing future visual analytics systems. We validate the soundness of our framework with two visual analytics systems, namely Entity Workspace [8] [14,41,46] suggest that the establishment of a general design framework is significant. The objective for such a VA design framework is threefold: firstly, the framework must inform designers to systematically incorporate the support for domain analytical processes. Secondly, the framework should provide a basis for designers to evaluate their system and further help them identify a cohesive technology transition progress, from system design and implementation to its release and deployment [49]. Finally, the framework must serve an educational purpose, contributing to the identification of potential course materials that are necessary to educate others regarding the field of VA [1].However, constructing a convincing and appropriate design framework is challenging. The framework must be validated against existing systems and more importantly, it must give researchers and designers new ideas regarding how to evaluate and improve their own work.Given the need to incorporate successes from diverse VA systems, it is difficult to generate a framework that can summarize and instruct all the design requirements from a top-down perspective. High-level VA design frameworks like [14,41,44,55] are certainly of great value. Nonetheless, little specific guidance or recommendation is currently available to articulate the boundaries within which particular design assumptions apply, leaving the system design to be solely based on designers' prior experience. For example, how does a designer know which analysis method is suitable to characterize an organization? Are there components that a designer should follow to systematically incorporate a domain analytical process? Further, what recommendations exist that specify the appropriate methods for supporting both general and individual analytical workflows? Encouraged by the di...

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Section: 1mentioning

confidence: 99%

Section: Component (C2): Analytical Requirementsmentioning

confidence: 99%

“…Following ethnographic methodologies [65], typical methods to perform the task analysis are semi-structured interview [59], surveys [58], and on-site observations.…”

Section: Component (C2): Analytical Requirementsmentioning

confidence: 99%

Section: 222mentioning

confidence: 99%

mentioning

confidence: 99%

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A two-stage framework for designing visual analytics system in organizational environments

Wang

Dou

Butkiewicz

et al. 2011

2011 IEEE Conference on Visual Analytics Science and Technology (VAST)

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Bridging Text Visualization and Mining: A Task-Driven Survey

Liu

Wang

Collins

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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Visual text analytics has recently emerged as one of the most prominent topics in both academic research and the commercial world. To provide an overview of the relevant techniques and analysis tasks, as well as the relationships between them, we comprehensively analyzed 263 visualization papers and 4,346 mining papers published between 1992-2017 in two fields: visualization and text mining. From the analysis, we derived around 300 concepts (visualization techniques, mining techniques, and analysis tasks) and built a taxonomy for each type of concept. The co-occurrence relationships between the concepts were also extracted. Our research can be used as a stepping-stone for other researchers to 1) understand a common set of concepts used in this research topic; 2) facilitate the exploration of the relationships between visualization techniques, mining techniques, and analysis tasks; 3) understand the current practice in developing visual text analytics tools; 4) seek potential research opportunities by narrowing the gulf between visualization and mining techniques based on the analysis tasks; and 5) analyze other interdisciplinary research areas in a similar way. We have also contributed a web-based visualization tool for analyzing and understanding research trends and opportunities in visual text analytics.

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