Alle Publikationen

  • Erweiterte Suche öffnen

Treffer: 4
  • <<
  • 1
  • 2020

  • Rossi, Silvia; Rossi, Alessandra; Dautenhahn, Kerstin (2020): The Secret Life of Robots: Perspectives and Challenges for Robot’s Behaviours During Non-interactive Tasks. In: International Journal of Social Robotics, S. 1265-1278. DOI: 10.1007/s12369-020-00650-z

    DOI: https://doi.org/10.1007/s12369-020-00650-z 

    Abstract: Some applications of service robots within domestic and working environments are envisaged to be a significant part of our lives in the not too distant future. They are developed to autonomously accomplish different tasks either on behalf of or in collaboration with a human being. Robots can perceive and interpret data from the external environment, so they also collect personal information and habits; they can plan, navigate, and manipulate objects, eventually intruding in our personal space and disturbing us in the current activities. Indeed, such capabilities need to be socially enhanced to ensure their effective deployment and to favour a significant social impact. The modelling and evaluation of a service robot’s behaviour, while not interacting with a human, have only been marginally considered in the last few years. But these can be expected to play a key role in developing socially acceptable robotic applications that can be used widely. To explore this research direction, we present research objectives related to the effective development of socially-aware service robots that are not involved in tasks that require explicit interaction with a person. Such discussion aims at highlighting some of the future challenges that will be posed for the social robotics community in the next years.

  • 2007

  • Vilhjalmsson, H.; Johnson, W. L.; Wu, P.; Miller, C.; Funk, H. (2007): A Computational Approach to Etiquette and Politeness: An "Etiquette Engine™" for Cultural Interaction Training. In: Proceedings of the 2007 Conference on Behavior Representation In Modeling and Simulation

    Abstract: Computational models and simulations of culture-specific social interactions are useful for a variety of applications including training, interaction or perception prediction and interpretation and even the design of machines and systems which will interact verbally with members of different cultures. To date, such models have been achieved via the scripting of specific trajectories of behaviors or, in limited instances, through very complex, “first principles” psychological models of agent motivation and goal-based behaviors. Neither of these is entirely appropriate for the production of a large series of rich and deep social interactions. We have developed a quantitative, computational implementation of a rich, universal theory of human-human “politeness” behaviors and the culture-specific interpretive frameworks for them (labeled “etiquette”) from sociology, linguistics and anthropology. This model links observable and inferred aspects of power and familiarity relationships, the degree of imposition of an act (each of which have implications for roles and intents) and the actor’s character to produce expectations about politeness behaviors. We have recently demonstrated the ability for this algorithm to produce culture-specific, politeness-appropriate utterances and perceptions of utterances in a game setting. Furthermore, our algorithmic approach to calculating culturespecific attitudes offered distinct advantages over alternate methods of producing such behaviors. Not only was it possible to more rapidly amass a much larger set of alternate trajectories through an interaction setting, but it was also possible to “swap” alternate sets of cultural knowledge to enable giving an agent alternate cultural perceptions with great ease.

  • 2006

  • Johnson, W. L.; Miller, C.; Wu, P.; Funk, H.; Wilson, P. (2006): A Computational Approach to Etiquette and Politeness: Initial Test Cases. In: Proceedings of 2006 BRIMS Conference

    Abstract: Characters or agents which react appropriately—-taking offense when reasonable, giving deference where appropriate, etc.-- are a fundamental need for believability and accuracy in simulations of social interactions (including culture-specific and multi-cultural interactions). This is especially true for applications where complex and realistic interactions with intelligent agents are important-- such as cross-cultural training for military personnel. We have developed a quantitative, computational implementation of a rich, universal theory of human-human “politeness” behaviors and the culture-specific interpretive frameworks for them (labeled “etiquette”) from sociology, linguistics and anthropology. This model links observable and inferred aspects of power and familiarity relationships, the degree of imposition of an act (each of which have implications for roles and intents) and the actor’s character to produce expectations about politeness behaviors. By using observations of politeness behaviors (or their lack), the same model permits inferences and updates about those attributes. We present the algorithm we have developed and describe its results in scoring the degree of politeness or rudeness across 8 test cases. We see applicability of this model to interactive agent behavior generation and adaptation through the creation of modular, cross-cultural etiquette libraries. While other methods of interactive behavior generation are available (e.g., behavior scripting) our modular, computational approach should provide substantial payoffs in terms of reducing software development costs and/orincreasing the breadth of an agent’s social interaction behaviors.

  • 2004

  • Miller, Christopher A. (2004): Introduction. Special Issue: Human-computer etiquette: Managing expectations with intentional agents. In: Communications of the ACM 47 (4), S. 30-34. DOI: 10.1145/975817.975840

    Abstract: When I hit my thumb with a hammer, I get mad at myself, at the person making me do the work, and at the cruel and malignant universe, but I don’t get mad at the hammer. By contrast, when my computer crashes, or fails to give me a file that I know is there, or tells me that I failed to shut it down properly when it was the one that crashed, I get mad at it. True, if I stop to think about it, I may get mad at the people who designed, programmed, or last updated it, but my immediate reaction is more personal. Even my language, as I write this, is illustrative: I hit myself with the hammer, while my computer does things to me. The computer is, at some level, just a hunk of silicon and plastic- every bit as inert as the hammer. Somewhere between the hammer and the computer lies a threshold of complexity and capacity for autonomous action that, when surpasses, tempts us to ascribe agent-like qualities such as awareness and intent. We interact with agents on a social level and increasingly so with increases in the complexity of behavior and of interaction which the agent affords. Since we cant predict or understand all of an agent's actions, should behave in various roles and contexts. These codes enable us to infer what specific behavior mean, in terms of the agent's intentions and beliefs. Not surprisingly, we have evolved a wealth of such expectations for interactions with the most complex and unpredictable agents with whom we regularly work and live - other humans. Some of these codes are quite explicit- such as the communication protocols in which pilots and air traffic controllers are trained, or the rituals of a religious service- but others subtle and largely implicit. These patterns or rules of expectation are what we call "etiquette."

  • <<
  • 1