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Views from Within a Narrative: Evaluating Long-Term Human-Robot Interaction in a Naturalistic Environment Using Open-Ended Scenarios.
Cognitive Computation ( IF 4.3 ) Pub Date : 2014-11-06 , DOI: 10.1007/s12559-014-9284-x
Dag Sverre Syrdal 1 , Kerstin Dautenhahn 1 , Kheng Lee Koay 1 , Wan Ching Ho 1
Affiliation  

This article describes the prototyping of human–robot interactions in the University of Hertfordshire (UH) Robot House. Twelve participants took part in a long-term study in which they interacted with robots in the UH Robot House once a week for a period of 10 weeks. A prototyping method using the narrative framing technique allowed participants to engage with the robots in episodic interactions that were framed using narrative to convey the impression of a continuous long-term interaction. The goal was to examine how participants responded to the scenarios and the robots as well as specific robot behaviours, such as agent migration and expressive behaviours. Evaluation of the robots and the scenarios were elicited using several measures, including the standardised System Usability Scale, an ad hoc Scenario Acceptance Scale, as well as single-item Likert scales, open-ended questionnaire items and a debriefing interview. Results suggest that participants felt that the use of this prototyping technique allowed them insight into the use of the robot, and that they accepted the use of the robot within the scenario.

中文翻译:

叙述中的观点:使用开放式场景评估自然主义环境中的长期人机交互。

本文介绍了赫特福德大学(UH)机器人之家中人机交互的原型。12名参与者参加了一项长期研究,他们与UH机器人之家的机器人互动,每周一次,为期10周。使用叙事框架技术的原型方法允许参与者与机器人互动,进行叙事框架化的叙事互动,以传达连续长期互动的印象。目的是研究参与者如何应对场景和机器人以及特定的机器人行为,例如座席迁移和表现行为。机器人和场景的评估采用多种措施进行,包括标准化的系统可用性量表,临时的场景接受量表,以及李克特单项量表,不限成员名额的问卷调查表和汇报会。结果表明,参与者认为使用此原型技术可以使他们深入了解机器人的使用,并接受场景中机器人的使用。
更新日期:2014-11-06
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