A Dynamic Scenario by Remote Supervision: A Serious Game in the Museum with a Nao Robot

Mondou, Damien; Prigent, Armelle; Revel, Arnaud

doi:10.1007/978-3-319-76270-8_8

Cited by 8 publications

(8 citation statements)

References 12 publications

(10 reference statements)

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“…However, additional features may reinforce the robot's behavior and improve its interaction with visitors. Gestures support this statement by enabling the social robot to animate its speech [19,24,25,27] and convey emotions [17,38]. Often, researchers script a robot's gestures at the same time as they create its behaviors [19,24,25,27].…”

Section: Gesturesmentioning

confidence: 99%

“…With some sensors and systems available, frameworks with their software need to be installed and used to program and set up the robot. That is the case of the camera Kinect [19,26] or the robot NAO [25], in which modules such as speech recognizer, face detection, face tracking, microphones and speakers are already arranged and useable with a graphical programming tool called Choregraphe or a Python Software Development Kit (SDK).…”

Section: Architecture Design To Generate Behaviorsmentioning

confidence: 99%

“…This could be beneficial when museums are confronted with increasing numbers of visitors [16] or allow employees to know their most popular exhibits [24]. They also facilitate easier access to culture, regardless of an individual's social background or physical abilities [16,23], and encourage more people, including youth, to visit museums [19,25]. However, integrating interactive technology that can move, guide, explain, and converse in a place with many people, noises, and obstacles represents a challenge.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

Hellou

Lim

Gasteiger

et al. 2022

Int J of Soc Robotics

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Robots have become increasingly present in our daily lives, and we see several settings wherein this technology might positively impact people. One of these settings, and the focus of this paper, is the museum. This paper provides an overview of the literature on how robots can help people within the museum context and explores the state-of-the-art methods or technologies employed by researchers to allow robots to interact within this environment. Five key features were found to be essential to integrate into social museum robots: social navigation (including safe and successful motions); perception (how robots can use visual skills to understand the environment); speech (verbal communication with visitors); gestures (non-verbal cues) and behavior generation (how the robot combines the four skills to adopt different behaviors). The paper subsequently analyzes the integration of these features into robotic systems for a complete and appropriate collection of behaviors in the museum setting.

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Section: Gesturesmentioning

confidence: 99%

Section: Architecture Design To Generate Behaviorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

Hellou

Lim

Gasteiger

et al. 2022

Int J of Soc Robotics

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“…In a study, Mondou et al introduce a dynamic scenario for a serious game with museum content with agents controlling content and behavior. They divide the scenario-building steps into two, namely, defining the behavior in grouping patterns and applying them [30]. Besides the scenario design system, the serious game also requires a system to control the scenario.…”

Section: A Related Workmentioning

confidence: 99%

An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

et al. 2021

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In the field of tourism, serious games are a pedagogical media application that helps players develop travel knowledge and expertise based on game content. A tourism serious game requires a scenario control system to visualize an attractive travel scenario. This paper proposes an Automatic Scenario Control in the serious game to visualize travel recommendation scenarios choice according to the player's expectations of potential tourism destinations criteria. There are two stages in system development, namely scenario design and scenario selection. In the scenario design stage, we use the Hierarchical Finite State Machine to translate challenge-based stories according to the type of attraction. While at the scenario selection stage, Dynamic Weight Topsis is a method for selecting one of the player's recommended scenarios. This study uses tourism destinations recommendations as to alternative variables, characteristics of tourism destinations as criteria, and players' expectations of tourism destinations' characteristics as weight criteria. In the implementation phase, the tourism serious game uses the content of tourism destinations in Mojokerto Indonesia. The test results show that Automatic Scenario Control generates a preference value for each alternative as a reference for choosing tourism destination scenarios for the player. Three things affect the scenario choice results, including the choice of month of tourist visits, player expectations of tourist destinations, and alternative input from the recommender system.

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“…The commercialization of social robots is spreading fast. Some good examples of this trend are NAO [1] and Pepper [2] that can welcome and play with visitors in museums [3] or give directions in shopping malls [4]. Since social robots are designed to interact with people, they must be skilled in the different aspects of communication.…”

Section: Introductionmentioning

confidence: 99%

Cultural differences in speed adaptation in human-robot interaction tasks

Vannucci

Sciutti

Lehman

et al. 2019

Paladyn, Journal of Behavioral Robotics

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In social interactions, human movement is a rich source of information for all those who take part in the collaboration. In fact, a variety of intuitive messages are communicated through motion and continuously inform the partners about the future unfolding of the actions. A similar exchange of implicit information could support movement coordination in the context of Human-Robot Interaction. In this work, we investigate how implicit signaling in an interaction with a humanoid robot can lead to emergent coordination in the form of automatic speed adaptation. In particular, we assess whether different cultures – specifically Japanese and Italian – have a different impact on motor resonance and synchronization in HRI. Japanese people show a higher general acceptance toward robots when compared with Western cultures. Since acceptance, or better affiliation, is tightly connected to imitation and mimicry, we hypothesize a higher degree of speed imitation for Japanese participants when compared to Italians. In the experimental studies undertaken both in Japan and Italy, we observe that cultural differences do not impact on the natural predisposition of subjects to adapt to the robot.

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A Dynamic Scenario by Remote Supervision: A Serious Game in the Museum with a Nao Robot

Cited by 8 publications

References 12 publications

Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

Cultural differences in speed adaptation in human-robot interaction tasks

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