Name
Abstract | ||
|---|---|---|
Currently, there is a broad range of studies dealing with the design and visualization of energy consumption data for the domestic and increasingly for the office context. However, studies addressing the industrial context are quite rare, and due to the diversity of machines, processes, tasks, personal motivations, teams and the specific organizational culture of companies, it is not sufficient to provide only consumption data. For an adequate consideration of these factors, detailed design guidelines and system concepts are currently missing. However, this study shows the potential that a common understanding of consumption data can emerge through suitable visualization to support everyday work and possibilities of data sharing. Therefore, we show exemplarily how a design can be derived from empirically collected requirements and how a system concept can look like that enrich current eco-feedback design research for the industrial context.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3375182 | Proceedings of the ACM on Human-Computer Interaction |
Keywords | DocType | Volume |
data visualization,eco-feedback,iiot,iot,sid | Journal | 4 |
Issue | ISSN | Citations |
GROUP | 2573-0142 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nico Castelli | 1 | 12 | 3.27 |
| Sebastian Taugerbeck | 2 | 0 | 0.68 |
| Martin Stein | 3 | 57 | 6.38 |
| Timo Jakobi | 4 | 34 | 8.27 |
| Gunnar Stevens | 5 | 433 | 50.81 |
| Volker Wulf | 6 | 0 | 2.37 |