City Research Online

Abstract

A common characteristic of applied visualization is collaboration between visualization researcher and domain expert – where the vi- sualization researcher attempts to assimilate sufficient detail around data, task and requirements to design a visualization tool that is manifestly useful. We report on a method for enabling such a col- laboration that can be used throughout the design process to gather and develop requirements and continually evaluate and support iter- ative design. We do so using highly interactive web-pages that we term dynamic design documents. Applied during a four-year visual data analysis project for crime research, these documents enabled a series of data mappings to be explored by our collaborators (crime analysts) remotely – in a flexible and continuous way. We argue that they engendered a level of engagement that is qualitatively dis- tinct from more traditional methods of feedback elicitation, offered a solution to limited and intermittent contact between analyst and visualization researcher and speculate that they provided a means of partially addressing certain intractable deficiencies, such as so- cial desirability-bias, that are common to evaluation in applied data visualization.

Publication Type:	Conference or Workshop Item (Poster)
Additional Information:	© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Departments:	School of Science & Technology > Computer Science School of Science & Technology > Computer Science > giCentre

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