What Can We Learn from the Long-Term Users of a Social Robot?

被引:8
|
作者
Kertesz, Csaba [1 ]
Turunen, Markku [1 ]
机构
[1] Univ Tampere, Tampere Unit Comp Human Interact, Tampere, Finland
来源
SOCIAL ROBOTICS, ICSR 2017 | 2017年 / 10652卷
关键词
Questionnaire; User expectations; Heavy users; Sony AIBO;
D O I
10.1007/978-3-319-70022-9_65
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Despite the recent technological advances, long-term experiments with robots have challenges to keep the users interested after the initial excitement disappears. This paper explores the user expectations by analyzing the long-term owners of Sony AIBO who have been using these robots for years (heavy users). 78 participants filled an on-line questionnaire and their answers were inspected to discover the key needs of this user group. Quantitative and textual methods confirmed that the most-wanted skills were the interaction with humans and the autonomous operation. The integration with the AI agents and Internet services was important, but the long-term memory and learning capabilities were not that relevant for the participants as expected. The diverse preferences between robot skills led to the creation of a prioritized recommendation list to complement the design guidelines for social robots in the literature.
引用
收藏
页码:657 / 665
页数:9
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