Development and Testing of Psychological Conflict Resolution Strategies for Assertive Robots to Resolve Human-Robot Goal Conflict.

Development and Testing of Psychological Conflict Resolution Strategies for Assertive Robots to Resolve Human-Robot Goal Conflict.
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自信机器人解决人-机器人目标冲突的心理冲突解决策略的开发与测试。

DOI:
10.3389/frobt.2020.591448
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发表时间:
2020
影响因子:
3.4
通讯作者:
Baumann M
Baumann M
中科院分区:
其他
文献类型:
--
作者:
Babel F;Kraus JM;Baumann M

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相似文献

随着服务机器人变得越来越自主,并遵循自己的任务相关目标,人与机器人之间的冲突似乎是不可避免的,特别是在共享空间中。目标冲突可能从简单的轨迹规划到复杂的任务优先顺序。为了成功地解决人类与机器人之间的目标冲突,人类和机器人需要就各自的目标和优先事项进行谈判。为此,机器人可能会配备有效的冲突解决策略,以便自信和有效,但也同样被用户接受。通过将心理学概念(如协商、合作)传递到HRI,提出了服务机器人(公共清洁机器人、家庭助理机器人)的冲突解决策略。总共有15种策略根据预期的情感结果(积极、中性、消极)进行了分组。在两个在线实验中,使用类人机器人和机械机器人在两个应用环境(公共:n 1=61;私人:n 2=93)中测试了这些冲突解决策略的可接受性和遵从性。为了获得比较的价值,这些策略也是由人类应用的。作为额外的结果,评估了代理人的信任、恐惧、唤醒、效价以及感知到的礼貌。积极/中性策略比消极策略更容易被接受,也更有效。一些消极的策略(即威胁、命令)甚至导致了反应和恐惧。有些策略只对某些代理(人类或机器人)进行了积极的评估和有效的评估,或者只在两种应用环境中的一种情况下才被接受(即,方法、同理心)。在公共环境中,策略接受和遵从的影响可以被发现:接受通过礼貌和信任来预测。顺从性是由人际关系的力量预测的。综上所述,心理冲突解决策略可以应用于HRI中,以提高机器人的任务有效性。如果应用于特定于机器人和上下文敏感的应用,它们将被用户接受。本文的贡献是双重的:介绍了基于人的因素和社会心理学的冲突解决策略,并在两个应用情境的两个在线研究中进行了实证评估。讨论了影响机器人断言接受性和有效性的因素和要求。
As service robots become increasingly autonomous and follow their own task-related goals, human-robot conflicts seem inevitable, especially in shared spaces. Goal conflicts can arise from simple trajectory planning to complex task prioritization. For successful human-robot goal-conflict resolution, humans and robots need to negotiate their goals and priorities. For this, the robot might be equipped with effective conflict resolution strategies to be assertive and effective but similarly accepted by the user. In this paper, conflict resolution strategies for service robots (public cleaning robot, home assistant robot) are developed by transferring psychological concepts (e.g., negotiation, cooperation) to HRI. Altogether, fifteen strategies were grouped by the expected affective outcome (positive, neutral, negative). In two online experiments, the acceptability of and compliance with these conflict resolution strategies were tested with humanoid and mechanic robots in two application contexts (public: n 1 = 61; private: n 2 = 93). To obtain a comparative value, the strategies were also applied by a human. As additional outcomes trust, fear, arousal, and valence, as well as perceived politeness of the agent were assessed. The positive/neutral strategies were found to be more acceptable and effective than negative strategies. Some negative strategies (i.e., threat, command) even led to reactance and fear. Some strategies were only positively evaluated and effective for certain agents (human or robot) or only acceptable in one of the two application contexts (i.e., approach, empathy). Influences on strategy acceptance and compliance in the public context could be found: acceptance was predicted by politeness and trust. Compliance was predicted by interpersonal power. Taken together, psychological conflict resolution strategies can be applied in HRI to enhance robot task effectiveness. If applied robot-specifically and context-sensitively they are accepted by the user. The contribution of this paper is twofold: conflict resolution strategies based on Human Factors and Social Psychology are introduced and empirically evaluated in two online studies for two application contexts. Influencing factors and requirements for the acceptance and effectiveness of robot assertiveness are discussed.
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