scholarly journals GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 68
Author(s):  
Lei Shi ◽  
Cosmin Copot ◽  
Steve Vanlanduit
Keyword(s):  
Cognitive Load ◽  
Real World ◽  
Robotic Manipulator ◽  
Similarity Score ◽  
Human Robot Interaction ◽  
Experimental Results ◽  
The Other ◽  
Robot Interaction ◽  
Run Length ◽  
The Real

In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual intention for interacting with robots. One typical HRI interaction scenario is that a human selects an object by gaze and a robotic manipulator will pick up the object. In this work, we propose an approach, GazeEMD, that can be used to detect whether a human is looking at an object for HRI application. We use Earth Mover’s Distance (EMD) to measure the similarity between the hypothetical gazes at objects and the actual gazes. Then, the similarity score is used to determine if the human visual intention is on the object. We compare our approach with a fixation-based method and HitScan with a run length in the scenario of selecting daily objects by gaze. Our experimental results indicate that the GazeEMD approach has higher accuracy and is more robust to noises than the other approaches. Hence, the users can lessen cognitive load by using our approach in the real-world HRI scenario.

scholarly journals Intrinsically motivated reinforcement learning for human–robot interaction in the real-world

2018 ◽  
Vol 107 ◽  
pp. 23-33 ◽  
Author(s):  
Ahmed Hussain Qureshi ◽  
Yutaka Nakamura ◽  
Yuichiro Yoshikawa ◽  
Hiroshi Ishiguro
Keyword(s):  
Reinforcement Learning ◽  
Real World ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
The Real

scholarly journals A Walking Training System with Customizable Trajectory Designing

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Shiyang Dong ◽  
Takafumi Matsumaru
Keyword(s):  
Interaction Design ◽  
Detection Method ◽  
Training System ◽  
Human Robot Interaction ◽  
Design Concept ◽  
Experimental Results ◽  
Robot Interaction ◽  
Coordination Training ◽  
Foot Model ◽  
New System

AbstractThis paper shows a novel walking training system for foot-eye coordination. To design customizable trajectories for different users conveniently in walking training, a new system which can track and record the actual walking trajectories by a tutor and can use these trajectories for the walking training by a trainee is developed. We set the four items as its human-robot interaction design concept: feedback, synchronization, ingenuity and adaptability. A foot model is proposed to define the position and direction of a foot. The errors in the detection method used in the system are less than 40 mm in position and 15 deg in direction. On this basis, three parts are structured to achieve the system functions: Trajectory Designer, Trajectory Viewer and Mobile Walking Trainer. According to the experimental results,we have confirmed the systemworks as intended and designed such that the steps recorded in Trajectory Designer could be used successfully as the footmarks projected in Mobile Walking Trainer and foot-eye coordination training would be conducted smoothly.

Responsibility and obligation in the ‘Responsibility to Protect’

2010 ◽  
Vol 36 (S1) ◽  
pp. 25-46 ◽  
Author(s):  
WILLIAM BAIN
Keyword(s):  
International Law ◽  
Real World ◽  
The Other ◽  
Responsibility To Protect ◽  
Men And Women ◽  
The Real

AbstractThis article takes up Louise Arbour's claim that the doctrine of the ‘Responsibility to Protect’ is grounded in existing obligations of international law, specifically those pertaining to the prevention and punishment of genocide. In doing so, it argues that the aspirations of the R2P project cannot be sustained by the idea of ‘responsibility’ alone. The article proceeds in arguing that the coherence of R2P depends on an unacknowledged and unarticulated theory of obligation that connects notions of culpability, blame, and accountability with the kind of preventive, punitive, and restorative action that Arbour and others advocate. Two theories of obligation are then offered, one natural the other conventional, which make this connection explicit. But the ensuing clarity comes at a cost: the naturalist account escapes the ‘real’ world to redeem the intrinsic dignity of all men and women, while the conventionalist account remains firmly tethered to the ‘real’ world in redeeming whatever dignity can be had by way of an agreement. The article concludes by arguing that the advocate of the responsibility to protect can have one or the other, but not both.

scholarly journals Ethics of identity in the time of big data

First Monday ◽  
2019 ◽  
Author(s):  
James Brusseau
Keyword(s):  
Big Data ◽  
Personal Identity ◽  
Real World ◽  
Natural Law ◽  
The Other ◽  
Ethical Question ◽  
Human Relationships ◽  
The Real ◽  
Ethical Frameworks ◽  
Big Data Technology

Compartmentalizing our distinct personal identities is increasingly difficult in big data reality. Pictures of the person we were on past vacations resurface in employers’ Google searches; LinkedIn which exhibits our income level is increasingly used as a dating web site. Whether on vacation, at work, or seeking romance, our digital selves stream together. One result is that a perennial ethical question about personal identity has spilled out of philosophy departments and into the real world. Ought we possess one, unified identity that coherently integrates the various aspects of our lives, or, incarnate deeply distinct selves suited to different occasions and contexts? At bottom, are we one, or many? The question is not only palpable today, but also urgent because if a decision is not made by us, the forces of big data and surveillance capitalism will make it for us by compelling unity. Speaking in favor of the big data tendency, Facebook’s Mark Zuckerberg promotes the ethics of an integrated identity, a single version of selfhood maintained across diverse contexts and human relationships. This essay goes in the other direction by sketching two ethical frameworks arranged to defend our compartmentalized identities, which amounts to promoting the dis-integration of our selves. One framework connects with natural law, the other with language, and both aim to create a sense of selfhood that breaks away from its own past, and from the unifying powers of big data technology.

Attention-Aware Robotic Laparoscope Based on Fuzzy Interpretation of Eye-Gaze Patterns

2015 ◽  
Vol 9 (4) ◽  
Author(s):  
Songpo Li ◽  
Xiaoli Zhang ◽  
Fernando J. Kim ◽  
Rodrigo Donalisio da Silva ◽  
Diedra Gustafson ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Eye Movements ◽  
Visual Attention ◽  
Cognitive Load ◽  
Medical Practice ◽  
Eye Gaze ◽  
Experimental Results ◽  
Robot Interaction ◽  
Gaze Patterns ◽  
Modern Medical Practice

Laparoscopic robots have been widely adopted in modern medical practice. However, explicitly interacting with these robots may increase the physical and cognitive load on the surgeon. An attention-aware robotic laparoscope system has been developed to free the surgeon from the technical limitations of visualization through the laparoscope. This system can implicitly recognize the surgeon's visual attention by interpreting the surgeon's natural eye movements using fuzzy logic and then automatically steer the laparoscope to focus on that viewing target. Experimental results show that this system can make the surgeon–robot interaction more effective, intuitive, and has the potential to make the execution of the surgery smoother and faster.

Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality

2015 ◽  
pp. 73-95 ◽  
Author(s):  
Rafal Rzepka ◽  
Kenji Araki
Keyword(s):  
Text Mining ◽  
Knowledge Base ◽  
Real World ◽  
Semantic Analysis ◽  
Experimental Results ◽  
Artificial Agents ◽  
Knowledge Source ◽  
The Real ◽  
Long Run

This chapter introduces an approach and methods for creating a system that refers to human experiences and thoughts about these experiences in order to ethically evaluate other parties', and in a long run, its own actions. It is shown how applying text mining techniques can enrich machine's knowledge about the real world and how this knowledge could be helpful in the difficult realm of moral relativity. Possibilities of simulating empathy and applying proposed methods to various approaches are introduced together with discussion on the possibility of applying growing knowledge base to artificial agents for particular purposes, from simple housework robots to moral advisors, which could refer to millions of different experiences had by people in various cultures. The experimental results show efficiency improvements when compared to previous research and also discuss the problems with fair evaluation of moral and immoral acts.

Sign in / Sign up

Export Citation Format

Share Document