Knowledge acquisition through introspection in Human-Robot Cooperation

Chella, Antonio; Lanza, Francesco; Pipitone, Arianna; Seidita, Valeria

doi:10.1016/j.bica.2018.07.016

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…Our long term work deals with developing a cognitive architecture able to operate in unsupervised and dynamic contexts [3][4][5][6]. In this paper, we focus on runtime planning, namely the creation or the composition of new plans when the one robot knows have turned out to be unsuccessful.…”

Section: Discussionmentioning

confidence: 99%

“…The extension is merely focused on the framework, whereby each agent defined in the multi-agent system could call the new internal action to invoke NARS. This choice ensures runtime planning inside multi-agent applications and a high level of compatibility with the previous works [2][3][4][5][6] 2.1 Handling Plans in Jason using NARS As mentioned before, the agent yields control to the external reasoning system using two processes that let NARS reason on beliefs and plans already present in the agent. The appropriate mechanism that lets the agent yield control to NARS is implemented using an extended Internal Action.…”

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confidence: 99%

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Agents in dynamic contexts, a system for learning plans

Lanza

Hammer

Seidita

et al. 2020

Proceedings of the 35th Annual ACM Symposium on Applied Computing

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Agents in dynamic contexts, a system for learning plans

Lanza

Hammer

Seidita

et al. 2020

Proceedings of the 35th Annual ACM Symposium on Applied Computing

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“…Further theoretical work is being done to investigate how attention to the self may be vital in integrating other self-awareness processes (see, e.g., Graziano, 2017 ), and architectures continue to play a crucial role (Chella et al, 2018 , 2019 ) in this respect. We agree that architecturally, attention to the self is essential for self-awareness, but we add that inner speech, at least in humans, is a primary tool for facilitating higher-order self-awareness and the many processes involved, such as memory, attention, reflection, social feedback, evaluation, and others presented earlier.…”

Section: Existing Approaches To Self-awareness In Robotsmentioning

confidence: 99%

Developing Self-Awareness in Robots via Inner Speech

et al. 2020

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The experience of inner speech is a common one. Such a dialogue accompanies the introspection of mental life and fulfills essential roles in human behavior, such as self-restructuring, self-regulation, and re-focusing on attentional resources. Although the underpinning of inner speech is mostly investigated in psychological and philosophical fields, the research in robotics generally does not address such a form of self-aware behavior. Existing models of inner speech inspire computational tools to provide a robot with this form of self-awareness. Here, the widespread psychological models of inner speech are reviewed, and a cognitive architecture for a robot implementing such a capability is outlined in a simplified setup.

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“…interpreting the agent's physical features (Chella, Lanza, Pipitone, & Seidita, 2018). This aspect is highly related to the perceived level of intelligence and capacity (agency) this agent is equipped with (Nowak & Fox, 2018;Stein & Ohler, 2017).…”

Section: New Framework For Cmc and Human-agent Interactionmentioning

confidence: 99%

“…Our framework further defines the mediating factors during this calibration process. Users' perceptions of the virtual agent representations may include seeing and understanding the physical features on the agent (e.g., having a face and facial expressions) and interpreting the agent's physical features (Chella, Lanza, Pipitone, & Seidita, 2018). This aspect is highly related to the perceived level of intelligence and capacity (agency) this agent is equipped with (Nowak & Fox, 2018; Stein & Ohler, 2017).…”

Section: New Framework For Cmc and Human–agent Interactionmentioning

confidence: 99%

Users' mental models forcomputer‐mediatedcommunication: Theorizing emerging technology and behavior ineHealthapplications

Lee

Malcein

2020

Human Behav and Emerg Tech

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This theoretical review focuses on defining users' mental models in modern computermediated communication (CMC) where users interact with intelligent virtual agents. The proposed framework integrates relevant literature in CMC, human-computer interaction, social behavior, and mental models and illustrates the relationship between emerging technology and user behaviors. Using an eHealth context, the framework outlines the initiating (user knowledge and intentions) and mediating (virtual agent representations, context, perceived agency, interactions, and limitations) factors for the development of users' mental models and the process for calibration and behavioral modification upon prolonged use. This framework is expected to be applied to other domain applications and to complement theoretical models that focus on the technological side of human-agent interaction. Better understanding of users' mental models will lead to the timely design and evaluation of intelligent systems and the redefinition of the roles for humans as we embrace more emerging and innovative technologies.

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Knowledge acquisition through introspection in Human-Robot Cooperation

Cited by 9 publications

References 11 publications

Agents in dynamic contexts, a system for learning plans

Agents in dynamic contexts, a system for learning plans

Developing Self-Awareness in Robots via Inner Speech

Users' mental models forcomputer‐mediatedcommunication: Theorizing emerging technology and behavior ineHealthapplications

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