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2017
Mussakhojayeva, S.; Sandygulova, A. (2017) : Cross-cultural differences for adaptive strategies of robots in public spaces: 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN): Lisbon, Portugal: IEEE Robotics & Automation Society, S. 573-578

DOI: https://doi.org/10.1109/ROMAN.2017.8172360

Abstract: Robots deployed in public spaces must necessarily deal with situations that demand them to engage humans in a socially and culturally appropriate manner. However, social environments are often complex and ambiguous: many queries to the robot are collaborative (e.g. a family), and in case of conflicting queries, social robots need to participate in value decisions and negotiating multi-party interactions. Given the strong influence of the people’s demographic information and social schema among people, such as relationships and hierarchies, the focus of this research is to examine whether and how people exhibit socio-psychological effects with a shared robot deployed at international events or spaces (e.g. airports). With the aim to investigate who robots should adapt to (children or adults) in multi-party situations within human-robot interactions in public spaces and whether this adaptation can be influenced by culture, this paper presents a cross-cultural study conducted online. The results include a number of interesting findings based on people’s relationship with a child and their parental status. In addition, a number of cross-cultural differences were identified in respondents’ attitude towards robot’s multi-party adaptation in various public settings.

Keywords: Airports, Angemessen(heit) (von Technik), control engineering computing, cross-cultural differences, cultural aspects, Cultural differences, Face recognition, Foot, human-robot interaction, human-robot interactions, ieee xplore, multiparty adaptation, PSYCHOLOGY, public spaces, Robots, social robots, socio-psychological effects, speech, Videos
2005
Kiesler, S. (2005) : Fostering common ground in human-robot interaction: ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005: ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005: Nashville, TN, USA: IEEE, S. 729-734

DOI: https://doi.org/10.1109/ROMAN.2005.1513866

Abstract: Effective communication between people and interactive robots would benefit if they have a common ground of understanding. I discuss how the common ground principle of least collective effort can be used to predict and design human robot interactions. Social cues lead people to create a mental model of a robot and estimates of its knowledge. People’s mental model and knowledge estimate would, in turn, influence the effort they expend to communicate with the robot. People would explain their message in less detail to a knowledgeable robot with which they have more common ground. This process can be leveraged to design interactions that have an appropriate style of robot direction and that accommodate to differences among people.

Keywords: Airports, Angemessen(heit) (von Technik), Cognitive robotics, Cognitive Science, common ground principle, Communication effectiveness, Human robot interaction, Humanoid Robots, human-robot interaction, ieee xplore, interactive robots, knowledge estimation, mental model, Orbital robotics, Robot kinematics, Security, social robots, Testing, user interfaces

2017

2005

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