On the effect of user faults on her perception of agents faults in collaborative settings

Reut Asraf, Chen Rozenshtein, David Sarne

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

In various human-Agent collaborative settings the agent is fault-prone. In many of these settings, it is possible that the human user will also account to failure, hindering task execution. In this paper we study the effect of the latter type of failures over the user's satisfaction with the agent in the collaborative setting. We report the results of two experiments, differing in the number of agent's faults and the way faults influence task progress and attract players' focus, with 264 subjects recruited and interacted through Amazon Mechanical Turk. We find that when the user accounts for some faults during the collaborative execution of the task, she becomes more forgiving to the agent faults, and consequently more satisfied with the collaboration, compared to the case where she makes no faults. The importance of this finding becomes most apparent in the design of collaborative agents.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفHAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction
الصفحات372-376
عدد الصفحات5
رقم المعيار الدولي للكتب (الإلكتروني)9781450386203
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 9 نوفمبر 2021
الحدث9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021 - Virtual, Online, اليابان
المدة: ٩ نوفمبر ٢٠٢١١١ نوفمبر ٢٠٢١

سلسلة المنشورات

الاسمHAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction

!!Conference

!!Conference9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021
الدولة/الإقليماليابان
المدينةVirtual, Online
المدة٩/١١/٢١١١/١١/٢١

All Science Journal Classification (ASJC) codes

  • !!Software
  • !!Artificial Intelligence
  • !!Human-Computer Interaction

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