Alan, Alper, Costanza, Enrico, Fischer, J., Ramchurn, Sarvapali, Rodden, T. and Jennings, N.R.
A field study of human-agent interaction for electricity
At Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems, France.
05 - 09 May 2014.
Recently, many algorithms have been developed for autonomous agents to manage home energy use on behalf of their human owners. By so doing, it is expected that agents will be more efficient at, for example, choosing the best energy tariff to switch to when dynamically priced tariffs come about. However, to date, there has been no validation of such technologies in any field trial. In particular, it has not been shown whether users prefer fully autonomous agents as opposed to controlling their preferences manually. Hence, in this paper we describe a novel platform, called Tariff Agent, to study notions of flexible autonomy in the context of tariff switching. Tariff Agent uses real-world datasets and real-time electricity monitoring to instantiate a scenario where human participants may have to make, or delegate to their agent (in different ways), tariff switching decisions given uncertainties about their own consumption and tariff prices. We carried out a field trial with 10 participants and, from both quantitative and qualitative results, formulate novel design guidelines for systems that implement flexible autonom.
Conference or Workshop Item
|Venue - Dates:
||Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems, France, 2014-05-05 - 2014-05-09
||Agents, Interactions & Complexity
|May 2014||e-pub ahead of print|
||28 Dec 2013 17:23
||17 Apr 2017 14:28
|Further Information:||Google Scholar|
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