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Recommender Interfaces: The More Human-Like, the More Humans Like
2016Social robots, when used for information providing, are able to affect humans’ trustworthiness and willingness to interact with them. In this work, we conducted an experimental study aimed at observing if the users’ acceptance of recommendations, as well as their engagement in the interaction, is elicited when using a humanoid robot with respect to a ...
Mariacarla Staffa, Silvia Rossi 0002
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Human-Like Machine Intelligence
2021In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches.
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Towards More Human-Like Episodic Memory for More Human-Like Agents
2009Episodic memory (EM) is an umbrella term for memory systems that operate with representations of personal history of an entity. The content of EM is related to particular places and moments, and connected to subjective feelings and current goals. Recently, it has been argued that EM is one of the key components contributing to believability of ...
Cyril Brom, Jirí Lukavský
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Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
Anthropomorphic robots, or robots with human-like appearance features such as eyes, hands, or faces, have drawn considerable attention in recent years. To date, what makes a robot appear human-like has been driven by designers» and researchers» intuitions, because a systematic understanding of the range, variety, and relationships among constituent ...
Elizabeth Phillips +3 more
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Anthropomorphic robots, or robots with human-like appearance features such as eyes, hands, or faces, have drawn considerable attention in recent years. To date, what makes a robot appear human-like has been driven by designers» and researchers» intuitions, because a systematic understanding of the range, variety, and relationships among constituent ...
Elizabeth Phillips +3 more
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2021
The most famous grand challenge for machine intelligence is human-like communication. This chapter explores two problem that need to be solved in order for machines to meet this challenge. The first is the technical difficulties posed by ordinary conversation.
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The most famous grand challenge for machine intelligence is human-like communication. This chapter explores two problem that need to be solved in order for machines to meet this challenge. The first is the technical difficulties posed by ordinary conversation.
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Human-like Heuristics in Scrabble
2009The game of Scrabble has been tackled by computers mainly using simulation [1–4]. This technique has already given very positive results. Nevertheless it fails to resemble human approach of thinking when playing Scrabble. A more human-like approach would be desirable both to test human strategies vs.
Alejandro González Romero +4 more
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Human-Like Playtesting with Deep Learning
2018 IEEE Conference on Computational Intelligence and Games (CIG), 2018We present an approach to learn and deploy human-like playtesting in computer games based on deep learning from player data. We are able to learn and predict the most "human" action in a given position through supervised learning on a convolutional neural network.
Stefan Freyr Gudmundsson +7 more
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Human-like learning in a conscious agent
Journal of Experimental & Theoretical Artificial Intelligence, 2011In this article, we propose the Conscious-Emotional Learning Tutoring System technology, a biologically plausible cognitive agent based on human brain functions. This agent is capable of learning and remembering events and any related information such as corresponding procedures, stimuli and their emotional valences.
Usef Faghihi +3 more
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Task dependent human-like grasping
Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots, 2008In this study we report our preliminary work on investigating task dependent grasping in humans and realization of this skill on a robotic platform. For human data acquisition, subjects were asked to reach and grasp two objects (a claw-hammer and a pen) positioned in four different orientations.
Baris Ozyer, Erhan Öztop
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Modelling trust in human-like technologies
Proceedings of the 9th Indian Conference on Human-Computer Interaction, 2018Trust is an important decision-making construct helping users to adopt and continually use a system. Despite its importance, past research has mainly focused on studying and researching it in technology mediated interactions. As nature of technical artifacts becomes increasingly intelligent and human-like, a theory for explaining and predicting trust ...
Siddharth Gulati +2 more
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