research-article

Eco-InfoVis at Work: Role-based Eco-Visualizations for the Industrial Context

Authors:

Sebastian Taugerbeck,

Gunnar Stevens,

Volker WulfAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue GROUP

Article No.: 02, Pages 1 - 27

https://doi.org/10.1145/3375182

Published: 04 January 2020 Publication History

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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Cited By

Santos Fialho FScuri SPereira LNunes N(2023)Virtual Assistants for Energy Efficiency: Real World TryoutsProceedings of the 2023 ACM Conference on Information Technology for Social Good10.1145/3582515.3609548(299-306)Online publication date: 6-Sep-2023
https://dl.acm.org/doi/10.1145/3582515.3609548
Jones LNousir AEverrett TNabil S(2023)Libraries of Things: Understanding the Challenges of Sharing Tangible Collections and the Opportunities for HCIProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581094(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581094
Scuri SFerreira MJardim Nunes NNisi VMulligan C(2022)Hitting the Triple Bottom LineProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517518(1-19)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517518

Index Terms

Eco-InfoVis at Work: Role-based Eco-Visualizations for the Industrial Context
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interactive systems and tools
      1. User interface programming

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 4, Issue GROUP

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January 2020

405 pages

EISSN:2573-0142

DOI:10.1145/3378060

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University of Michigan
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Google
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Vienna University of Technology
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Uichin Lee
KAIST
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Andres Monroy-Hernandez
Microsoft Research
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Wolfgang Stuerzlinger
Simon Fraser University, Canada

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Published: 04 January 2020

Published in PACMHCI Volume 4, Issue GROUP

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Ministry for Environment, Agriculture, Conservation and Consumer Protection of the State of North Rhine-Westphalia
Ministry of Economics, Innovation, Digitalisation and Energy of the State of North Rhine-Westphalia
This project was funded by the European Regional Development Fund (ERDF)

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Cited By

Santos Fialho FScuri SPereira LNunes N(2023)Virtual Assistants for Energy Efficiency: Real World TryoutsProceedings of the 2023 ACM Conference on Information Technology for Social Good10.1145/3582515.3609548(299-306)Online publication date: 6-Sep-2023
https://dl.acm.org/doi/10.1145/3582515.3609548
Jones LNousir AEverrett TNabil S(2023)Libraries of Things: Understanding the Challenges of Sharing Tangible Collections and the Opportunities for HCIProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581094(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581094
Scuri SFerreira MJardim Nunes NNisi VMulligan C(2022)Hitting the Triple Bottom LineProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517518(1-19)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517518

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