On the Sociability of a Game-Playing Agent: A Software Framework and Empirical Study

Behrooz, Morteza; Rich, Charles; Sidner, Candace L.

doi:10.1007/978-3-319-09767-1_6

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…The gaming experience with an artificial player is an engaging experience due to the agent's sociability and embodiment (Behrooz, Rich, and Sidner 2014), either virtual or physical. Therefore, game playing scenarios became more popular to analyse the influence of physically embodied agents on different aspects that might be related with the game experience or with the perception of the artificial player.…”

Section: Related Workmentioning

confidence: 99%

A Social Robot as a Card Game Player

Correia

Alves‐Oliveira

Ribeiro

et al. 2021

AIIDE

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This paper describes a social robotic game player that is able to successfully play a team card game called Sueca. The question we will address in this paper is: how can we build a social robot player that is able to balance its ability to play the card game with natural and social behaviours towards its partner and its opponents. The first challenge we faced concerned the development of a competent artificial player for a hidden information game, whose time constraint is the average human decision time. To accomplish this requirement, the Perfect Information Monte Carlo (PIMC) algorithm was used. Further, we have performed an analysis of this algorithm's possible parametrizations for games trees that cannot be fully explored in a reasonable amount of time with a MinMax search. Additionally, given the nature of the Sueca game, such robotic player must master the social interactions both as a partner and as an opponent. To do that, an emotional agent framework (FAtiMA) was used to build the emotional and social behaviours of the robot. At each moment, the robot not only plays competitively but also appraises the situation and responds emotionally in a natural manner. To test the approach, we conducted a user study and compared the levels of trust participants attributed to the robots and to human partners. Results have shown that the robot team exhibited a winning rate of 60%. Concerning the social aspects, the results also showed that human players increased their trust in the robot as their game partners (similar to the way to the trust levels change towards human partners).

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Section: Related Workmentioning

confidence: 99%

A Social Robot as a Card Game Player

Correia

Alves‐Oliveira

Ribeiro

et al. 2021

AIIDE

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“…Im Always-On-Projekt gehören Karten-und Brettspiele zu den Aktivitäten, welche der Agent mit allein lebenden Senioren gemeinsam unternehmen kann (Behrooz et al 2014). Diese dienen nicht nur dem Zeitvertreib, sondern tragen gleichzeitig dazu bei, die Beziehung zwischen Agent und Nutzer zu festigen und den Weg für ernstere Themen wie dessen Gesundheit zu ebnen.…”

Section: Spielgefährteunclassified

Sozial interagierende Roboter in der Pflege

et al. 2018

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In naher Zukunft werden Roboter immer häufiger in den Lebensbereichen von Alltagsnutzerinnen und-nutzern anzutreffen sein. Sehr deutlich wird dies am Beispiel von Haushalts-und Pflegerobotern, denen im Hinblick auf eine alternde Gesellschaft verstärkt die Rolle des Mitbewohners und Weggefährten zukommen wird. Damit einher geht der Wunsch, die Mensch-Roboter-Kommunikation menschzentrierter zu gestalten. Es geht nicht mehr lediglich um die effiziente Durchführung von Aufgaben, sondern auch darum, für den Menschen ein angenehmes Interaktionserlebnis zu schaffen und ein Vertrauensverhältnis zu dem Roboter herzustellen. Der nachfolgende Artikel diskutiert den aktuellen Stand in Forschung und Entwicklung im Bereich sozial interagierender Roboter, die über multimodale soziale Hinweisreize mit pflegebedürftigen Menschen kommunizieren.

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“…A Game-Playing Social Robot Companion Figure 6 C shows our RoboGames application with a social game-playing robot similar to the agent described in [7]. A Robopec Reeti 5 robot plays different card or board games with the user, for example to train the mental fitness of elderly people living on their own.…”

Section: Applicationsmentioning

confidence: 99%

“…We recently observe a growing interest in the development of artificial social companions, such as sociable and collaborative robots or embodied conversational agents. They serve as playmates [7], trainers and coaches [29,12] or assistants in health and elderly care [16]. They are expected to offer a natural and intuitive social interaction and to be adaptive to the users' interests and needs.…”

Section: Introductionmentioning

confidence: 99%

Modeling Grounding for Interactive Social Companions

2015

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Grounding is an important process that underlies all human interaction. Hence, it is also crucial for social companions to interact naturally. Maintaining the common ground requires domain knowledge but has also numerous social aspects, such as attention, engagement and empathy. Integrating these aspects and their interplay with the dialog management in a computational interaction model is a complex task. We present a modeling approach overcoming this challenge and illustrate it based on some social companion applications.

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On the Sociability of a Game-Playing Agent: A Software Framework and Empirical Study

Cited by 7 publications

References 17 publications

A Social Robot as a Card Game Player

A Social Robot as a Card Game Player

Sozial interagierende Roboter in der Pflege

Modeling Grounding for Interactive Social Companions

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