Alle Publikationen

  • Erweiterte Suche öffnen

Treffer: 2
  • <<
  • 1

  • 2017

  • Lee, Namyeon; Kim, Jeonghun; Kim, Eunji; Kwon, Ohbyung (2017): The Influence of Politeness Behavior on User Compliance with Social Robots in a Healthcare Service Setting. In: International Journal of Social Robotics 9 (5), S. 727-743. DOI: 10.1007/s12369-017-0420-0

    Abstract: Particularly in the healthcare service domain, social robots are expected to be good assistants, advisers, or practitioners. To increase the effectiveness of healthcare services provided by social robots, patients must comply with their requests. Research is plentiful on what makes patients comply with healthcare advice. In this paper, which is based on Bulgurcu's study of rationality-based beliefs, command-compliance theory, and social exchange theory, we propose a research model of compliance during interaction with social robots, examining beliefs about and overall assessments of the consequences of complying with robot requests and extending the findings of previous studies to the setting of healthcare services. We specifically investigate the perceived level of politeness in robots' speech and gestures as a determinant of compliance intention. Using a social robot, NAO, as a provider of healthcare services, we conducted an experiment. The results suggest that the aforementioned theories are useful in understanding user behaviors toward social robots in a healthcare service setting. Interestingly, and unlike in other settings, the perceived level of politeness of a social robot in a healthcare service setting negatively affects the perceived benefit of compliance, and, hence, intention to comply. A lower politeness level is closer to a command or strong recommendation than a suggestion or causal recommendation, which is common in shopping, tourism, or convention settings. The findings of this study imply that polite behavior from a social robot is an important factor in the compliance of healthcare service users. Direct speech with polite gestures is the most effective way to increase patient compliance in with healthcare advice provided by social robots in healthcare settings. However, higher levels of politeness do not always increase patients' intention to comply.

    Keywords: Assistenztechnik, Befehle/eindringliche Empfehlung als Marker für Unhöflichkeit, Compliance, Disziplin, doppelter Treffer, Höflichkeit, Höflichkeitsforschung, human-robot interaction, Ingenieurswissenschaft, Interaktionspartner, Medizin, Mensch oder Maschine, Mensch-Technik-Relationen (MTR), polite social interaction, Politeness, Politeness Theory, Realtechnik, Robotics, Serviceroboter, Social exchange theory, Social robot, Soziale Angemessenheit, Soziale Robotik, Technik, Technikbezug

  • 2013

  • Mead, Ross; Atrash, Amin; Matarić, Maja J. (2013): Automated Proxemic Feature Extraction and Behavior Recognition. Applications in Human-Robot Interaction. In: International Journal of Social Robotics 5 (3), S. 367-378. DOI: 10.1007/s12369-013-0189-8

    Abstract: Abstract In this work, we discuss a set of feature representations for analyzing human spatial behavior (proxemics) motivated by metrics used in the social sciences. Specifically, we consider individual, physical, and psychophysical factors that contribute to social spacing. We demonstrate the feasibility of autonomous real-time annotation of these proxemic features during a social interaction between two people and a humanoid robot in the presence of a visual obstruction (a physical barrier). We then use two different feature representations-physical and psychophysical-to train Hidden Markov Models (HMMs) to recognize spatiotemporal behaviors that signify transitions into (initiation) and out of (termination) a social interaction. We demonstrate that the HMMs trained on psychophysical features, which encode the sensory experience of each interacting agent, outperform those trained on physical features, which only encode spatial relationships. These results suggest a more powerful representation of proxemic behavior with particular implications in autonomous socially interactive and socially assistive robotics.

    Keywords: Assistenztechnik, doppelter Treffer, Favoriten, Ingenieurswissenschaft, Interaktion, Interaktionsaustritt, Interaktionseintritt, Mensch-Technik-Relationen (MTR), Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, Proxemik, Realtechnik, Soziale Robotik, Sozialer Raum / Kultureller Kontext, sozialintervenierende Agenten, Soziosensitive Systeme, Status / biologische Marker, Technik, termination of social interaction
  • <<
  • 1