Artificial Intelligence in Human-Robot Interaction

2019 ◽  
pp. 187-199
Author(s):  
Edirlei Soares de Lima ◽  
Bruno Feijó
Keyword(s):  
Artificial Intelligence ◽  
Human Robot Interaction ◽  
Robot Interaction

scholarly journals Reports on the 2014 AAAI Fall Symposium Series

AI Magazine ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 107-112
Author(s):  
Adam B. Cohen ◽  
Sonia Chernova ◽  
James Giordano ◽  
Frank Guerin ◽  
Kris Hauser ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health Informatics ◽  
Autonomous Robots ◽  
Human Robot Interaction ◽  
Energy Market ◽  
Washington Dc ◽  
Robot Interaction ◽  
Language Access ◽  
Symposium Series ◽  
And Behavior

The AAAI 2014 Fall Symposium Series was held Thursday through Saturday, November 13–15, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The titles of the seven symposia were Artificial Intelligence for Human-Robot Interaction, Energy Market Prediction, Expanding the Boundaries of Health Informatics Using AI, Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Modeling Changing Perspectives: Reconceptualizing Sensorimotor Experiences, Natural Language Access to Big Data, and The Nature of Humans and Machines: A Multidisciplinary Discourse. The highlights of each symposium are presented in this report.

scholarly journals Reports of the AAAI 2016 Spring Symposium Series

AI Magazine ◽  
2017 ◽  
Vol 37 (4) ◽  
pp. 83-88
Author(s):  
Christopher Amato ◽  
Ofra Amir ◽  
Joanna Bryson ◽  
Barbara Grosz ◽  
Bipin Indurkhya ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Observational Studies ◽  
Human Error ◽  
Well Being ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Symposium Series ◽  
Research Platform ◽  
Challenges And Opportunities

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.

scholarly journals Special Issue in Artificial Intelligence

2019 ◽  
Vol 30 (1) ◽  
pp. 7-8
Author(s):  
Dora Maria Ballesteros
Keyword(s):  
Artificial Intelligence ◽  
Communication Networks ◽  
Language Processing ◽  
Autonomous Systems ◽  
Big Data Analytics ◽  
Human Robot Interaction ◽  
Support Vector ◽  
Special Issue ◽  
Science And Engineering ◽  
Robot Interaction

Artificial intelligence (AI) is an interdisciplinary subject in science and engineering that makes it possible for machines to learn from data. Artificial Intelligence applications include prediction, recommendation, classification and recognition, object detection, natural language processing, autonomous systems, among others. The topics of the articles in this special issue include deep learning applied to medicine [1, 3], support vector machine applied to ecosystems [2], human-robot interaction [4], clustering in the identification of anomalous patterns in communication networks [5], expert systems for the simulation of natural disaster scenarios [6], real-time algorithms of artificial intelligence [7] and big data analytics for natural disasters [8].

Of Mental States and Machine Learning

2016 ◽  
Vol 60 (1) ◽  
pp. 1362-1366 ◽  
Author(s):  
Andrew Best ◽  
Samantha F. Warta ◽  
Katelynn A. Kapalo ◽  
Stephen M. Fiore
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Social Cognition ◽  
Mental State ◽  
Response Times ◽  
Interdisciplinary Approach ◽  
Mental States ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Machine Learning Classifiers

Using research in social cognition as a foundation, we studied rapid versus reflective mental state attributions and the degree to which machine learning classifiers can be trained to make such judgments. We observed differences in response times between conditions, but did not find significant differences in the accuracy of mental state attributions. We additionally demonstrate how to train machine classifiers to identify mental states. We discuss advantages of using an interdisciplinary approach to understand and improve human-robot interaction and to further the development of social cognition in artificial intelligence.

The Race Between Cognitive and Artificial Intelligence

2020 ◽  
Vol 16 (1) ◽  
pp. 1-16
Author(s):  
Anshu Saxena Arora ◽  
Amit Arora
Keyword(s):  
Artificial Intelligence ◽  
Social Cognitive ◽  
Code Of Ethics ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Cognitive Intelligence ◽  
Verbal Language ◽  
Ethical Implications ◽  
Research Fields ◽  
Human Ability

Research on human-robot interaction (HRI) is growing; however, focus on the congruent socio-behavioral HRI research fields of social cognition, socio-behavioral intentions, and code of ethics is lacking. Humans possess an inherent ability of integrating perception, cognition, and action; while robots may have limitations as they may not recognize an object or a being, navigate a terrain, and/or comprehend written or verbal language and instructions. This HRI research focuses on issues and challenges for both humans and robots from social, behavioral, technical, and ethical perspectives. The human ability to anthropomorphize robots and adoption of ‘intentional mindset' toward robots through xenocentrism have added new dimensions to HRI. Robotic anthropomorphism plays a significant role in how humans can be successful companions of robots. This research explores social cognitive intelligence versus artificial intelligence with a focus on privacy protections and ethical implications of HRI while designing robots that are ethical, cognitively and artificially intelligent, and social human-like agents.

scholarly journals Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods

Robotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 120
Author(s):  
Mehdi Hellou ◽  
Norina Gasteiger ◽  
Jong Yoon Lim ◽  
Minsu Jang ◽  
Ho Seok Ahn
Keyword(s):  
Artificial Intelligence ◽  
Current Literature ◽  
State Of The Art ◽  
Social Robots ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Social Conventions ◽  
Verbal Skills ◽  
Education Industry ◽  
The Social

Personalization and localization are important when developing social robots for different sectors, including education, industry, healthcare or restaurants. This allows for an adjustment of robot behaviors according to the needs, preferences or personality of an individual when referring to personalization or to the social conventions or the culture of a country when referring to localization. However, there are different models that enable personalization and localization presented in the current literature, each with their advantages and drawbacks. This work aims to help researchers in the field of social robotics by reviewing and analyzing different papers in this domain. We specifically focus our review by exploring different robots that employ distinct models for the adaptation of the robot to its environment. Additionally, we study an array of methods used to adapt the nonverbal and verbal skills of social robots, including state-of-the-art techniques in artificial intelligence.

The Ethics of Human–Robot Interaction and Traditional Moral Theories

2021 ◽  
Author(s):  
Sven Nyholm
Keyword(s):  
Artificial Intelligence ◽  
Virtue Ethics ◽  
Human Robot Interaction ◽  
Kantian Ethics ◽  
Human Beings ◽  
Ethical Theories ◽  
Robot Interaction ◽  
Moral Agents ◽  
Moral Theories ◽  
Domains Of Life

The rapid introduction of different kinds of robots and other machines with artificial intelligence into different domains of life raises the question of whether robots can be moral agents and moral patients. In other words, can robots perform moral actions? Can robots be on the receiving end of moral actions? To explore these questions, this chapter relates the new area of the ethics of human–robot interaction to traditional ethical theories such as utilitarianism, Kantian ethics, and virtue ethics. These theories were developed with the assumption that the paradigmatic examples of moral agents and moral patients are human beings. As this chapter argues, this creates challenges for anybody who wishes to extend the traditional ethical theories to new questions of whether robots can be moral agents and/or moral patients.

scholarly journals The 2015 AAAI Fall Symposium Series Reports

AI Magazine ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 85-90 ◽  
Author(s):  
Nisar Ahmed ◽  
Paul Bello ◽  
Selmer Bringsjord ◽  
Micah Clark ◽  
Bradley Hayes ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Autonomous Systems ◽  
Human Robot Interaction ◽  
Sequential Decision Making ◽  
Sequential Decision ◽  
Robot Interaction ◽  
Self Confidence ◽  
Symposium Series ◽  
Cognitive Assistance

The Association for the Advancement of Artificial Intelligence presented the 2015 Fall Symposium Series, on Thursday through Saturday, November 12-14, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the six symposia were as follows: AI for Human-Robot Interaction, Cognitive Assistance in Government and Public Sector Applications, Deceptive and Counter-Deceptive Machines, Embedded Machine Learning, Self-Confidence in Autonomous Systems, and Sequential Decision Making for Intelligent Agents. This article contains the reports from four of the symposia.

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