Literature DB >> 22034371

Human-centered approaches in geovisualization design: investigating multiple methods through a long-term case study.

David Lloyd1, Jason Dykes.   

Abstract

Working with three domain specialists we investigate human-centered approaches to geovisualization following an ISO13407 taxonomy covering context of use, requirements and early stages of design. Our case study, undertaken over three years, draws attention to repeating trends: that generic approaches fail to elicit adequate requirements for geovis application design; that the use of real data is key to understanding needs and possibilities; that trust and knowledge must be built and developed with collaborators. These processes take time but modified human-centred approaches can be effective. A scenario developed through contextual inquiry but supplemented with domain data and graphics is useful to geovis designers. Wireframe, paper and digital prototypes enable successful communication between specialist and geovis domains when incorporating real and interesting data, prompting exploratory behaviour and eliciting previously unconsidered requirements. Paper prototypes are particularly successful at eliciting suggestions, especially for novel visualization. Enabling specialists to explore their data freely with a digital prototype is as effective as using a structured task protocol and is easier to administer. Autoethnography has potential for framing the design process. We conclude that a common understanding of context of use, domain data and visualization possibilities are essential to successful geovis design and develop as this progresses. HC approaches can make a significant contribution here. However, modified approaches, applied with flexibility, are most promising. We advise early, collaborative engagement with data – through simple, transient visual artefacts supported by data sketches and existing designs – before moving to successively more sophisticated data wireframes and data prototypes.
© 2011 IEEE

Entities:  

Mesh:

Year:  2011        PMID: 22034371     DOI: 10.1109/TVCG.2011.209

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  6 in total

1.  Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations.

Authors:  Timothy Luciani; Andrew Burks; Cassiano Sugiyama; Jonathan Komperda; G Elisabeta Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-08-20       Impact factor: 4.579

2.  RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses.

Authors:  M Chen; A Abdul-Rahman; D Archambault; J Dykes; P D Ritsos; A Slingsby; T Torsney-Weir; C Turkay; B Bach; R Borgo; A Brett; H Fang; R Jianu; S Khan; R S Laramee; L Matthews; P H Nguyen; R Reeve; J C Roberts; F P Vidal; Q Wang; J Wood; K Xu
Journal:  Epidemics       Date:  2022-04-28       Impact factor: 5.324

3.  Activity-Centered Domain Characterization for Problem-Driven Scientific Visualization.

Authors:  G Elisabeta Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-08-29       Impact factor: 4.579

4.  Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

Authors:  Jason Dykes; Alfie Abdul-Rahman; Daniel Archambault; Benjamin Bach; Rita Borgo; Min Chen; Jessica Enright; Hui Fang; Elif E Firat; Euan Freeman; Tuna Gönen; Claire Harris; Radu Jianu; Nigel W John; Saiful Khan; Andrew Lahiff; Robert S Laramee; Louise Matthews; Sibylle Mohr; Phong H Nguyen; Alma A M Rahat; Richard Reeve; Panagiotis D Ritsos; Jonathan C Roberts; Aidan Slingsby; Ben Swallow; Thomas Torsney-Weir; Cagatay Turkay; Robert Turner; Franck P Vidal; Qiru Wang; Jo Wood; Kai Xu
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-08-15       Impact factor: 4.019

5.  Evidence-based design and evaluation of a whole genome sequencing clinical report for the reference microbiology laboratory.

Authors:  Anamaria Crisan; Geoffrey McKee; Tamara Munzner; Jennifer L Gardy
Journal:  PeerJ       Date:  2018-01-10       Impact factor: 2.984

6.  Computational framework for fusing eye movements and spoken narratives for image annotation.

Authors:  Preethi Vaidyanathan; Emily Prud'hommeaux; Cecilia O Alm; Jeff B Pelz
Journal:  J Vis       Date:  2020-07-01       Impact factor: 2.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.