Physically Interactive Robogames: Definition and design guidelines

Martinoia, Diego; Calandriello, Daniele; Bonarini, Andrea

doi:10.1016/j.robot.2013.04.017

Cited by 21 publications

(26 citation statements)

References 18 publications

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“…in Physically Inter- 35 active RoboGames (PIRG) [24], only a few long-term studies have begun to appear over the last few years. In this sense, an increased effort has been made to understand the particularities of prolonged interactions with robots.…”

Section: Introductionmentioning

confidence: 99%

Long-term assessment of a service robot in a hotel environment

Pinillos

Marcos

Feliz

et al. 2016

Robotics and Autonomous Systems

134

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The long term evaluation of the Sacarino robot is presented in this paper. This study aimed to improve the robot's capabilities as a bellboy in a hotel; walking alongside the guests, providing information about the city and the hotel and providing hotel-related services. The paper establishes a three-stage assessment methodology based on the continuous measurement of a set of metrics regarding navigation and interaction with guests. Sacarino has been automatically collecting information in a real hotel environment for long periods of time. The acquired information has been analyzed and used to improve the robot's operation in the hotel through successive refinements. Some interesting considerations and useful hints for the researchers of service robots have been extracted from the analysis of the results.

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Section: Introductionmentioning

confidence: 99%

Long-term assessment of a service robot in a hotel environment

Pinillos

Marcos

Feliz

et al. 2016

Robotics and Autonomous Systems

134

View full text Add to dashboard Cite

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“…These agents interact with each other in the real world by following some game rules so that the human players can have fun [3].…”

Section: Introductionmentioning

confidence: 99%

“…It has been noticed [3,9] that an important aspect of such playing entities and systems during the game should be an exhibition of rational behavior, and in this sense, they must be able to play the role of effective opponents or teammates, since people tend to lose their will to play with, or against, a dull entity. Therefore, a robot adapted to the skill and attitudes of the human player may achieve an acceptable performance, possibly providing a highly entertaining experience.…”

Section: Introductionmentioning

confidence: 99%

“…However, in most cases, the robots act more or less as a mobile pet (e.g., [10,11]), where the interaction is often seen as limited to almost static positions [12], not exploiting rich movement, nor a high level of autonomy, which makes for a low credibility of these toys to really engage lively people [3,9]. Some PIRG prototypes have been reported over the last few years.…”

Section: Introductionmentioning

confidence: 99%

“…Some PIRG prototypes have been reported over the last few years. Jedi Trainer 3.0 allowed for a more physical interaction between robot and players [3]. It was developed with the goal of replicating a scene of the first Star Wars saga movie "Episode IV-A New Hope".…”

Section: Introductionmentioning

confidence: 99%

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Learning and Mining Player Motion Profiles in Physically Interactive Robogames

et al. 2018

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Physically-Interactive RoboGames (PIRG) are an emerging application whose aim is to develop robotic agents able to interact and engage humans in a game situation. In this framework, learning a model of players' activity is relevant both to understand their engagement, as well as to understand specific strategies they adopted, which in turn can foster game adaptation. Following such directions and given the lack of quantitative methods for player modeling in PIRG, we propose a methodology for representing players as a mixture of existing player's types uncovered from data. This is done by dealing both with the intrinsic uncertainty associated with the setting and with the agent necessity to act in real time to support the game interaction. Our methodology first focuses on encoding time series data generated from player-robot interaction into images, in particular Gramian angular field images, to represent continuous data. To these, we apply latent Dirichlet allocation to summarize the player's motion style as a probabilistic mixture of different styles discovered from data. This approach has been tested in a dataset collected from a real, physical robot game, where activity patterns are extracted by using a custom three-axis accelerometer sensor module. The obtained results suggest that the proposed system is able to provide a robust description for the player interaction.

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Deceptive Actions to Improve the Attribution of Rationality to Playing Robotic Agents

Oliveira

Donadoni

Boriero

et al. 2020

Int J of Soc Robotics

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Play is a common activity, providing not only pleasure but also physical and cognitive development. In the quest for new playing experiences, there is an increasing tendency to develop robots playing with people. Making believable playing robots able to keep human players engaged and satisfied by the playing experience is the main challenge.In this work, we investigate the possibilities of a playful interaction between a human player and a mobile robot. In particular, this paper focuses on the applicability of deception as a means to support engagement and the attribution of rationality to playing robotic agents. By analyzing the interaction situation between the human and robot players, by identifying the need for deception, and by deciding whether and how to deceive, we aim at increasing self-reported engagement and fun, which are also related to the perception of the robotic opponent as smart enough to compete at an appropriate level.Experiments were conducted on a sample of 78 subjects facing two different deceptive behaviors and a basic behavior without any deception. All participants responded to a post-interaction questionnaire from which it was possible to observe a positive acceptance of the perception of the robot as a rational agent aimed at winning. In general, deception was perceived by most of the players as one of the robot's abilities, when actuated, and contributed to the reported fun.

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Physically Interactive Robogames: Definition and design guidelines

Cited by 21 publications

References 18 publications

Long-term assessment of a service robot in a hotel environment

Long-term assessment of a service robot in a hotel environment

Learning and Mining Player Motion Profiles in Physically Interactive Robogames

Deceptive Actions to Improve the Attribution of Rationality to Playing Robotic Agents

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