Screen feedback: How to overcome the expressive limitations of a social robot

Mirnig, Nicole; Tan, Yeow Kee; Han, Boon Siew; Li, Haizhou; Tscheligi, Manfred

doi:10.1109/roman.2013.6628490

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Our research is aimed at exploring how robot feedback can be enhanced by means of a screen: We performed a user study (as proposed in [4]) to research if a robot, which can provide facial expressions over a screen, is perceived differently from the same robot when it does not produce facial expressions at all. We assessed the difference in terms of anthropomorphism, animacy, likability, perceived intelligence, perceived safety, task attractiveness, and social attractiveness.…”

Section: Introductionmentioning

confidence: 99%

Screen feedback in human-robot interaction: How to enhance robot expressiveness

Mirnig

Tan

Chang

et al. 2014

The 23rd IEEE International Symposium on Robot and Human Interactive Communication

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The feedback of a robot is a powerful means to establish smooth human-robot interaction (HRI). We report on a user study to assess the applicability of a screen in a human-robot game-playing scenario. The screen was deployed to compensate for expressive shortcomings of a social robot due to its mechanical limitations of non-movable facial features. The participants played Rock-Paper-Scissors with the robot for which we programmed the right hand to show gestures. Half of the participants received facial expressions via a screen during the game, whereas the other half did not get screen feedback. We annotated the video-recorded interactions and collected questionnaire and interview data to assess the applicability of the screen. With our data we could show noteworthy results: First, the robot which provided facial expressions was rated more intelligent. Second, the participants who had interacted with the robot showing facial expressions, rated the task as more attractive than participants who did not receive facial expressions from the robot. The fact that we could not detect a negative influence of the screen, underlines the applicability of a screen in an HRI game-playing scenario to display facial expressions and contribute to an enhanced interaction.

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Section: Introductionmentioning

confidence: 99%

Screen feedback in human-robot interaction: How to enhance robot expressiveness

Mirnig

Tan

Chang

et al. 2014

The 23rd IEEE International Symposium on Robot and Human Interactive Communication

Self Cite

View full text Add to dashboard Cite

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“…Later on, robot Kismet was made that was also capable of producing facial expressions and changes in body posture [63]. Some robots used a screen to display their facial gestures with an animated face on the screen like Robovie-X [64], Olivia [65] and Iromec [66].…”

Section: Interaction Through Gestures and Facial Expressionmentioning

confidence: 99%

When Agents Become Partners: A Review of the Role the Implicit Plays in the Interaction with Artificial Social Agents

Dar

Bernardet

2020

MTI

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The way we interact with computers has significantly changed over recent decades. However, interaction with computers still falls behind human to human interaction in terms of seamlessness, effortlessness, and satisfaction. We argue that simultaneously using verbal, nonverbal, explicit, implicit, intentional, and unintentional communication channels addresses these three aspects of the interaction process. To better understand what has been done in the field of Human Computer Interaction (HCI) in terms of incorporating the type channels mentioned above, we reviewed the literature on implicit nonverbal interaction with a specific emphasis on the interaction between humans on the one side, and robot and virtual humans on the other side. These Artificial Social Agents (ASA) are increasingly used as advanced tools for solving not only physical but also social tasks. In the literature review, we identify domains of interaction between humans and artificial social agents that have shown exponential growth over the years. The review highlights the value of incorporating implicit interaction capabilities in Human Agent Interaction (HAI) which we believe will lead to satisfying human and artificial social agent team performance. We conclude the article by presenting a case study of a system that harnesses subtle nonverbal, implicit interaction to increase the state of relaxation in users. This “Virtual Human Breathing Relaxation System” works on the principle of physiological synchronisation between a human and a virtual, computer-generated human. The active entrainment concept behind the relaxation system is generic and can be applied to other human agent interaction domains of implicit physiology-based interaction.

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Screen feedback: How to overcome the expressive limitations of a social robot

Cited by 2 publications

References 15 publications

Screen feedback in human-robot interaction: How to enhance robot expressiveness

Screen feedback in human-robot interaction: How to enhance robot expressiveness

When Agents Become Partners: A Review of the Role the Implicit Plays in the Interaction with Artificial Social Agents

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