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Optimizing Electricity Consumption: A Case of Function Learning
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
2015 (English)In: Journal of experimental psychology. Applied, ISSN 1076-898X, E-ISSN 1939-2192, Vol. 21, no 4, p. 326-341Article in journal (Refereed) Published
Abstract [en]

A popular way to improve consumers' control over their electricity consumption is by providing outcome feedback on the cost with in-home displays. Research on function learning, however, suggests that outcome feedback may not always be ideal for learning, especially if the feedback signal is noisy. In this study, we relate research on function learning to in-home displays and use a laboratory task simulating a household to investigate the role of outcome feedback and function learning on electricity optimization. Three function training schemes (FTSs) are presented that convey specific properties of the functions that relate the electricity consumption to the utility and cost. In Experiment 1, we compared learning from outcome feedback with 3 FTSs, 1 of which allowed maximization of the utility while keeping the budget, despite no feedback about the total monthly cost. In Experiment 2, we explored the combination of this FTS and outcome feedback. The results suggested that electricity optimization may be facilitated if feedback learning is preceded by a brief period of function training.

Place, publisher, year, edition, pages
2015. Vol. 21, no 4, p. 326-341
Keywords [en]
function learning, electricity consumption, electricity optimization, in-home displays
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:uu:diva-272132DOI: 10.1037/xap0000056ISI: 000366318200002PubMedID: 26460677OAI: oai:DiVA.org:uu-272132DiVA, id: diva2:893164
Funder
StandUpAvailable from: 2016-01-12 Created: 2016-01-12 Last updated: 2018-04-17Bibliographically approved
In thesis
1. Feedback learning and multiple goal pursuit in an electricity consumption task
Open this publication in new window or tab >>Feedback learning and multiple goal pursuit in an electricity consumption task
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The overall aim with the thesis was to investigate how learning to pursue two conflicting goals (cost and utility) in an electricity consumption task is affected by different forms of feedback, goal phrasing, and task environment. Applied research investigating the efficiency of outcome feedback on electricity consumption via in-home displays points at modest reductions (2-4%). Further, a wealth of cognitive psychological research shows that learning with outcome feedback is not unproblematic. A new experimental paradigm, the simulated household, that captures the cognitive task that confronts people when trying to regulate their electricity consumption, was developed. In three studies, different aspects of the problem of regulating one’s consumption was investigated. Study I, investigated how different feedback in terms of frequency, detail, and presence of random noise or not affect performance. It also investigated if participants pursued the goals sequentially or simultaneously and if they were able to derive a model of the task. Results showed that frequent feedback was beneficial only in a deterministic system and, surprisingly, random noise improved performance by highlighting the most costly appliances. Modelling results indicated that participants pursued goals sequentially and did not have a mental model of the task. Study II, investigated if a short feedforward training could replace or complement outcome feedback. Results indicated that the performance with one of the feedforward training schemes lead to comparable performance to outcome feedback only. The best performance was obtained when this feedforward scheme was combined with outcome feedback. Study III, investigated if the sequential goal pursuit observed in Study I was related to interpretation of the task or cognitive limitations by specifying goals for cost and/or utility. Further, it investigated the reason for the cost prioritisation. Results indicated that the sequential goal pursuit derives from cognitive constraints. Together, the results from the studies suggest that people pursue the goals sequentially and that instant outcome feedback may harm performance by distracting people from the most important and costly appliances to the appliances that allow large variability in use.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2018. p. 68
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences, ISSN 1652-9030 ; 155
Keywords
feedback, multiple goal pursuit, function learning, electricity consumption, optimisation
National Category
Psychology (excluding Applied Psychology)
Identifiers
urn:nbn:se:uu:diva-348821 (URN)978-91-513-0341-3 (ISBN)
Public defence
2018-06-07, Room 13:026, von Kraemers Allé 1A/1E, Uppsala, 10:15 (English)
Opponent
Supervisors
Funder
StandUp
Available from: 2018-05-16 Created: 2018-04-17 Last updated: 2018-10-08

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Guath, MonaMillroth, PhilipJuslin, PeterElwin, Ebba

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