Supporting interactive visual analytics of energy behavior in buildings through affine visualizations

TY - GEN

T1 - Supporting interactive visual analytics of energy behavior in buildings through affine visualizations

AU - Nielsen, Matthias

AU - Brewer, Robert S.

AU - Grønbæk, Kaj

N1 - Conference code: 28

PY - 2016/11/29

Y1 - 2016/11/29

N2 - Domain experts dealing with big data are typically not familiar with advanced data mining tools. This especially holds true for domain experts within energy management. In this paper, we introduce a visual analytics approach that empowers such users to visually analyze energy behavior based on consumption meters, sensors and user reported survey data. The approach is aimed at visual analysis of resource consumption data and occupant survey data (e.g. from questionnaires) from apartment buildings. We discuss the principles and architecture of the affine visualization tool, AffinityViz, that interactively maps data from real world buildings. It is an overview +detail inter-active visual analytics tool supporting both rapid ad hoc explorations and structured evaluation of hypotheses about patterns and anomalies in resource consumption data mixed with occupant survey data. We have evaluated the approach with five domain experts within energy management, and further with 10 data analytics experts and found that it was easily attainable and that it supported visual analysis of mixed consumption and survey data. Finally, we discuss future perspectives of affine visual analytics for mixed, explorative visual analysis of resource consumption and occupant survey data.

AB - Domain experts dealing with big data are typically not familiar with advanced data mining tools. This especially holds true for domain experts within energy management. In this paper, we introduce a visual analytics approach that empowers such users to visually analyze energy behavior based on consumption meters, sensors and user reported survey data. The approach is aimed at visual analysis of resource consumption data and occupant survey data (e.g. from questionnaires) from apartment buildings. We discuss the principles and architecture of the affine visualization tool, AffinityViz, that interactively maps data from real world buildings. It is an overview +detail inter-active visual analytics tool supporting both rapid ad hoc explorations and structured evaluation of hypotheses about patterns and anomalies in resource consumption data mixed with occupant survey data. We have evaluated the approach with five domain experts within energy management, and further with 10 data analytics experts and found that it was easily attainable and that it supported visual analysis of mixed consumption and survey data. Finally, we discuss future perspectives of affine visual analytics for mixed, explorative visual analysis of resource consumption and occupant survey data.

KW - Applications

KW - Design

KW - Human factors

KW - Information visualization

KW - Interaction

KW - Visual analytics

UR - http://www.scopus.com/inward/record.url?scp=85012025557&partnerID=8YFLogxK

U2 - 10.1145/3010915.3010950

DO - 10.1145/3010915.3010950

M3 - Article in proceedings

T3 - OzCHI: Australian Conference on Human-Computer Interaction

SP - 238

EP - 247

BT - Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016

PB - Association for Computing Machinery

CY - New York, NY, USA

T2 - OzCHI '16 - the 28th Australian Conference on Computer-Human Interaction

Y2 - 29 November 2016 through 2 December 2016

ER -