Face-to-face interactive humanoid robot

Shiomi, Masahiro; Kanda, Takayuki; Miralles, Nicolas; Miyashita, Takahiro; Fasel, Ian; Movellan, Javier R.; Ishiguro, Hiroshi

doi:10.1109/iros.2004.1389582

Cited by 22 publications

(12 citation statements)

References 6 publications

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“…For example, Imai and colleagues used Robovie to explore the accuracy required of gaze for it to be recognizable by subjects seated around a table [23]. Numerous papers have explored face tracking to facilitate gaze at particular subjects (see, for example [24], [25]). …”

Section: Simulating Gaze Behavior In Agents and Robotsmentioning

confidence: 99%

A Storytelling Robot: Modeling and Evaluation of Human-like Gaze Behavior

Mutlu

Forlizzi

Hodgins

2006

2006 6th IEEE-RAS International Conference on Humanoid Robots

302

196

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Engaging storytelling is a necessary skill for humanoid robots if they are to be used in education and entertainment applications. Storytelling requires that the humanoid robot be aware of its audience and able to direct its gaze in a natural way. In this paper, we explore how human gaze can be modeled and implemented on a humanoid robot to create a natural, human-like behavior for storytelling. Our gaze model integrates data collected from a human storyteller and a discourse structure model developed by Cassell and her colleagues for human-like conversational agents [1]. We used this model to direct the gaze of a humanoid robot, Honda's ASIMO, as he recited a Japanese fairy tale using a pre-recorded human voice. We assessed the efficacy of this gaze algorithm by manipulating the frequency of ASIMO's gaze between two participants and used pre and post questionnaires to assess whether participants evaluated the robot more positively and did better on a recall task when ASIMO looked at them more. We found that participants performed significantly better in recalling ASIMO's story when the robot looked at them more. Our results also showed significant differences in how men and women evaluated ASIMO based on the frequency of gaze they received from the robot. Our study adds to the growing evidence that there are many commonalities between human-human communication and human-robot communication.

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Section: Simulating Gaze Behavior In Agents and Robotsmentioning

confidence: 99%

A Storytelling Robot: Modeling and Evaluation of Human-like Gaze Behavior

Mutlu

Forlizzi

Hodgins

2006

2006 6th IEEE-RAS International Conference on Humanoid Robots

302

196

View full text Add to dashboard Cite

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“…It enables us to study the robot's behavior for natural interaction with humans. Since there are several researchers studying the sensing aspects of robots, such as (Shiomi et al 2004), we believe that we will be able to develop an appropriate sensing capability once we identify what is required through experiments.…”

Section: Introductionmentioning

confidence: 99%

How contingent should a lifelike robot be? The relationship between contingency and complexity

et al. 2007

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Abstract:We believe that lifelikeness is important to make it possible for a communication robot to interact naturally with people. In this research we investigate the relationship between contingency and complexity in a lifelike robot. We have developed a robot control system to experimentally control contingency and complexity in interaction by combining a humanoid robot with a motion-capturing system. Two independent experiments were conducted with different levels of interaction complexity: simple interaction and complex interaction. Experiments in the simple interaction situation indicated that subjects felt that the robot behaved autonomously when contingency was low, and there was no significant relationship between contingency and a lifelike impression. On the other hand experiments in the complex interaction situation showed that the robot gave the subjects the impression of being more autonomous and lifelike when contingency was high.

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“…We developed a face-tracking algorithm for a communication robot that integrates information from both foveal and omnidirectional visions and actively controls the robot's head orientation [30]. However, in a real environment, false-positive faces were frequently detected, which largely hindered the performance.…”

Section: ) Face-tracking Systemmentioning

confidence: 99%

A Communication Robot in a Shopping Mall

et al. 2010

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This paper reports our development of a communication robot for use in a shopping mall to provide shopping information, offer route guidance, and build rapport. In the development, the major difficulties included sensing human behaviors, conversation in a noisy daily environment, and the needs of unexpected miscellaneous knowledge in the conversation. We chose a networkrobot system approach, where a single robot's poor sensing capability and knowledge are supplemented by ubiquitous sensors and a human operator. The developed robot system detects a person with floor sensors to initiate interaction, identifies individuals with radio-frequency identification (RFID) tags, gives shopping information while chatting, and provides route guidance with deictic gestures. The robot was partially teleoperated to avoid the difficulty of speech recognition as well as to furnish a new kind of knowledge that only humans can flexibly provide. The information supplied by a human operator was later used to increase the robot's autonomy. For 25 days in a shopping mall, we conducted a field trial and gathered 2642 interactions. A total of 235 participants signed up to use RFID tags and, later, provided questionnaire responses. The questionnaire results are promising in terms of the visitors' perceived acceptability as well as the encouragement of their shopping activities. The results of the teleoperation analysis revealed that the amount of teleoperation gradually decreased, which is also promising.Index Terms-Information-providing, network robot system, robots for shopping mall, route guidance, social human-robot interaction.

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Face-to-face interactive humanoid robot

Cited by 22 publications

References 6 publications

A Storytelling Robot: Modeling and Evaluation of Human-like Gaze Behavior

A Storytelling Robot: Modeling and Evaluation of Human-like Gaze Behavior

How contingent should a lifelike robot be? The relationship between contingency and complexity

A Communication Robot in a Shopping Mall

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