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A Game for Studying Maintenance Alerts' Effectiveness

Published: 04 May 2015 Publication History

Abstract

In this paper we present a space-ship game which allows us to evaluate human behavior with respect to maintenance and repairing malfunctions. We ran an experiment in which subjects played the space-ship game twice. In one of the games, they were simply told that they should perform maintenance every 20 seconds, and in the other game they received alerts from an agent for performing maintenance every 20 seconds. We show that when receiving alerts, people tented to perform more maintenance, and perform slightly better (not statistically significant). We suggest that in order to further improve the performance of the players in the space-ship game, one should also consider when to provide these alerts.

References

[1]
Piotr D Adamczyk and Brian P Bailey. If not now, when?: the effects of interruption at different moments within task execution. In CHI. ACM, 2004.
[2]
A. Azaria, Y. Aumann, and S. Kraus. Automated strategies for determining rewards for humanwork. In AAAI, 2012.
[3]
A. Azaria, Z. Rabinovich, S. Kraus, and C. V. Goldman. Strategic information disclosure to people with multiple alternatives. In AAAI, 2011.
[4]
A. Azaria, Z. Rabinovich, S. Kraus, C. V. Goldman, and O. Tsimhoni. Giving advice to people in path selection problems. In AAMAS, 2012.
[5]
Amos Azaria, Yonatan Aumann, and Sarit Kraus. Automated agents for reward determination for human work in crowdsourcing applications. Autonomous Agents and Multi-Agent Systems, 28(6):934--955, 2014.
[6]
Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, and Irit Netanely. Movie recommender system for profit maximization. In RecSys, pages 121--128. ACM, 2013.
[7]
Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V Goldman, and Ya'akov Gal. Strategic advice provision in repeated human-agent interactions. In AAAI, 2012.
[8]
Brian P Bailey and Shamsi T Iqbal. Understanding changes in mental workload during execution of goal-directed tasks and its application for interruption management. ACM TOCHI, 14(4):21, 2008.
[9]
Ying Huang, Mickaël Gardoni, Amadou Coulibaly, et al. A decision support system designed for personalized maintenance recommendation based on proactive maintenance. In ICED, 2009.
[10]
A. Rosenfend, I. Zukerman, A. Azaria, and S. Kraus. Combining psychological models with machine learning to better predict people's decisions. SYNT, 2012.
[11]
Tammar Shrot, Avi Rosenfeld, Jennifer Golbeck, and Sarit Kraus. Crisp: an interruption management algorithm based on collaborative filtering. In CHI. ACM, 2014.
[12]
Erwin C Vasbinder, Hettie M Janssens, Maureen PMH Rutten-van Mölken, Liset van Dijk, Brenda CM de Winter, Ruben CA de Groot, Arnold G Vulto, Patricia MLA van den Bemt, et al. e-monitoring of asthma therapy to improve compliance in children using a real-time medication monitoring system (rtmm): the e-matic study protocol. BMC medical informatics and decision making, 13(1):38, 2013.

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  1. A Game for Studying Maintenance Alerts' Effectiveness

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    AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
    May 2015
    2072 pages
    ISBN:9781450334136

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    • IFAAMAS

    In-Cooperation

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 04 May 2015

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    Author Tags

    1. alert system
    2. computer games
    3. maintenance optimization

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    AAMAS '15 Paper Acceptance Rate 108 of 670 submissions, 16%;
    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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