Creative User-Centered Visualization Design for Energy Analysts and Modelers

Goodwin, Sarah; Dykes, Jason; Jones, Sara; Dillingham, I.; Dove, Graham; Duffy, Alison; Kachkaev, A.; Slingsby, Aidan; Wood, Jo

doi:10.1109/tvcg.2013.145

Cited by 68 publications

(55 citation statements)

References 39 publications

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“…As an experiment in design for the citizens of Leicestershire the jury is very much out. We have subsequently used deliberate means of promoting creative thinking in requirements elicitation exercises (Goodwin et al 2013), and it would be interesting and informative to involve citizens in this kind of activity through which unknown requirements are established.…”

Section: Resultsmentioning

confidence: 99%

Designing an exploratory visual interface to the results of citizen surveys

Slingsby

Dykes

Wood

et al. 2014

International Journal of Geographical Information Science

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This is the unspecified version of the paper.This version of the publication may differ from the final published version. Surveys are used by public authorities to monitor the quality and reach of public services and provide information needed to help improve them. The results of such surveys tend to be used in internal reports, with highly-aggregated summaries being released to the public. Even where data are released, many citizens do not have the capability to explore and interpret them. This offers limited scope for citizens to explore the results and use them to help hold service providers to account -objectives that are increasingly important in public service provision. We work closely with an English local authority to develop an innovative interactive interface to a citizen survey to demonstrate what can be achieved by applying a visual approach to the exploration of such data. In so doing we (a) make a case for web-based interactive visualisation to make this kind of information accessible both internally to those working in local government and externally to citizens in a way that is not achieved through a regular Open Data release or existing applications; (b) use techniques from both cartography and information visualization to inform the design of fluid visual interactions that enable diverse users -from the casual citizen browser to those interested in more in-depth analysis -to view, compare and interpret the survey outputs from a wide variety of perspectives; and (c) document experiences and reactions to the provision of information in this form, with log analysis playing a role in this exercise. Our reflections on our successes and otherwise will inform future exploratory interface design to help citizens access information and hold public service providers to account. Permanent repository link

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Section: Resultsmentioning

confidence: 99%

Designing an exploratory visual interface to the results of citizen surveys

Slingsby

Dykes

Wood

et al. 2014

International Journal of Geographical Information Science

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“…These tools can be used by home users to understand better the benefits of optimal appliance schedule at their home. For more details about the potential use of data visualisation in energy networks the reader is referred to (Goodwin, 2013).…”

Section: Implementation and Simulation Resultsmentioning

confidence: 99%

“…It is for this reason that we believe that the best practical use of the research results presented in this paper is to integrate them in the development of energy consumption visualisation tools for the individual users and for the energy supplier. Visualisation of energy consumption (Goodwin, 2013) will enable better understanding of the pattern of energy use and the consequence of optimisation and optimal appliance schedules.…”

Section: Introductionmentioning

confidence: 99%

Demand Management for Home Energy Networks using Cost-optimal Appliance Scheduling

Rakocevic

Jahromizadeh²,

Gruber³

et al. 2014

Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems

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Abstract:This paper uses problem decomposition to show that optimal dynamic home energy prices can be used to reduce the cost of supplying energy, while at the same time reducing the cost of energy for the home users. The paper makes no specific recommendations on the nature of energy pricing, but shows that energy prices can normally be found that not only result in optimal energy consumption schedules for the energy provider's problem and are economically viable for the energy provider, but also reduce total users energy costs. Following this, the paper presents a heuristic real-time algorithm for demand management using home appliance scheduling. The presented algorithm ensures users' privacy by requiring users to only communicate their aggregate energy consumption schedules to the energy provider at each iteration of the algorithm. The performance of the algorithm is evaluated using a comprehensive probabilistic user demand model which is based on real user data from energy provider E.ON. The simulation results show potential reduction of up to 17% of the mean peak-to-average power estimate, reducing the user daily energy cost for up to 14%.

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“…Besides, other scholars individuate surprise as an independent factor of design creativity, but their purpose is limited to the building of a theoretical framework (Nguyen & Shanks, 2009) or to qualitative evaluations extrapolated from testers' reactions to new artifacts (Goodwin et al, 2013). The assessment of surprise is further complicated by the issue raised by Bruner (1962), who observes the temporary nature of unexpectedness, which quickly ceases after the initial so called "Aha!…”

Section: Surprise As a Separate Dimensionmentioning

confidence: 99%