scholarly journals Development and Usability Testing of a Remote Control App for An Interactive RoboT

2017 ◽  
Vol 61 (1) ◽  
pp. 808-812 ◽  
Author(s):  
Eric Vasey ◽  
Maryam S. FakhrHosseini ◽  
Zhi Zheng ◽  
Chung-Hyuk Park ◽  
Ayanna Howard ◽  
...  
Keyword(s):  
Remote Control ◽  
Human Robot Interaction ◽  
Ease Of Use ◽  
Usability Study ◽  
Robot Interaction ◽  
Wizard Of Oz ◽  
User Input ◽  
Nao Robot ◽  
Future Work

Experimenters need robots that are easier to control for experimental purposes. In this paper, we conducted interviews for eliciting interaction requirements for human-robot interaction scenarios. User input was then incorporated into an Android application for remotely controlling an Aldebaran Nao robot for use in Wizard-of-Oz experiments and demos. The app was used in a usability study to compare it with an existing Nao remote control app. Results were positive, highlighting the ease-of-use and organization of the app. Future work includes a more complete usability trial evaluating the unique functionality of the app, as well as a case study of the app in a real Wizard-of-Oz experiment.

Ontology-Based Human-Robot Interaction: An Approach and Case Study on Adaptive Remote Control Interface

2018 ◽  
pp. 116-125
Author(s):  
Alexey Kashevnik ◽  
Darya Kalyazina ◽  
Vladimir Parfenov ◽  
Anton Shabaev ◽  
Olesya Baraniuc ◽  
...  
Keyword(s):  
Remote Control ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Control Interface

scholarly journals WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments

2021 ◽  
Vol 8 ◽  
Author(s):  
Finn Rietz ◽  
Alexander Sutherland ◽  
Suna Bensch ◽  
Stefan Wermter ◽  
Thomas Hellström
Keyword(s):  
Vital Role ◽  
Human Robot Interaction ◽  
Graphical Interface ◽  
Robot Interaction ◽  
Wizard Of Oz ◽  
User Input ◽  
Simple Hypothesis ◽  
Individual Experiment ◽  
Speed Up ◽  
General Tool

Wizard-of-Oz experiments play a vital role in Human-Robot Interaction (HRI), as they allow for quick and simple hypothesis testing. Still, a publicly available general tool to conduct such experiments is currently not available in the research community, and researchers often develop and implement their own tools, customized for each individual experiment. Besides being inefficient in terms of programming efforts, this also makes it harder for non-technical researchers to conduct Wizard-of-Oz experiments. In this paper, we present a general and easy-to-use tool for the Pepper robot, one of the most commonly used robots in this context. While we provide the concrete interface for Pepper robots only, the system architecture is independent of the type of robot and can be adapted for other robots. A configuration file, which saves experiment-specific parameters, enables a quick setup for reproducible and repeatable Wizard-of-Oz experiments. A central server provides a graphical interface via a browser while handling the mapping of user input to actions on the robot. In our interface, keyboard shortcuts may be assigned to phrases, gestures, and composite behaviors to simplify and speed up control of the robot. The interface is lightweight and independent of the operating system. Our initial tests confirm that the system is functional, flexible, and easy to use. The interface, including source code, is made commonly available, and we hope that it will be useful for researchers with any background who want to conduct HRI experiments.

scholarly journals Improving Human–Robot Interaction by Enhancing NAO Robot Awareness of Human Facial Expression

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6438
Author(s):  
Chiara Filippini ◽  
David Perpetuini ◽  
Daniela Cardone ◽  
Arcangelo Merla
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Affective Computing ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Expression Recognition ◽  
Robot Interaction ◽  
Interaction Field ◽  
Nao Robot

An intriguing challenge in the human–robot interaction field is the prospect of endowing robots with emotional intelligence to make the interaction more genuine, intuitive, and natural. A crucial aspect in achieving this goal is the robot’s capability to infer and interpret human emotions. Thanks to its design and open programming platform, the NAO humanoid robot is one of the most widely used agents for human interaction. As with person-to-person communication, facial expressions are the privileged channel for recognizing the interlocutor’s emotional expressions. Although NAO is equipped with a facial expression recognition module, specific use cases may require additional features and affective computing capabilities that are not currently available. This study proposes a highly accurate convolutional-neural-network-based facial expression recognition model that is able to further enhance the NAO robot’ awareness of human facial expressions and provide the robot with an interlocutor’s arousal level detection capability. Indeed, the model tested during human–robot interactions was 91% and 90% accurate in recognizing happy and sad facial expressions, respectively; 75% accurate in recognizing surprised and scared expressions; and less accurate in recognizing neutral and angry expressions. Finally, the model was successfully integrated into the NAO SDK, thus allowing for high-performing facial expression classification with an inference time of 0.34 ± 0.04 s.

scholarly journals Human–Robot Interaction for Improving Fuselage Assembly Tasks: A Case Study

2020 ◽  
Vol 10 (17) ◽  
pp. 5757
Author(s):  
Elena Laudante ◽  
Alessandro Greco ◽  
Mario Caterino ◽  
Marcello Fera
Keyword(s):  
Risk Index ◽  
Human Action ◽  
Human Robot Interaction ◽  
Production Performance ◽  
Robot Interaction ◽  
Speed Increase ◽  
Human Operators ◽  
Assembly Performance ◽  
Assembly Tasks

In current industrial systems, automation is a very important aspect for assessing manufacturing production performance related to working times, accuracy of operations and quality. In particular, the introduction of a robotic system in the working area should guarantee some improvements, such as risks reduction for human operators, better quality results and a speed increase for production processes. In this context, human action remains still necessary to carry out part of the subtasks, as in the case of composites assembly processes. This study aims at presenting a case study regarding the reorganization of the working activity carried out in workstation in which a composite fuselage panel is assembled in order to demonstrate, by means of simulation tool, that some of the advantages previously listed can be achieved also in aerospace industry. In particular, an entire working process for composite fuselage panel assembling will be simulated and analyzed in order to demonstrate and verify the applicability and effectiveness of human–robot interaction (HRI), focusing on working times and ergonomics and respecting the constraints imposed by standards ISO 10218 and ISO TS 15066. Results show the effectiveness of HRI both in terms of assembly performance, by reducing working times and ergonomics—for which the simulation provides a very low risk index.

Enhancing Human Robot Interaction Through Social Network Interfaces: A Case Study

2015 ◽  
pp. 729-740 ◽  
Author(s):  
Laura Fiorini ◽  
Raffaele Limosani ◽  
Raffaele Esposito ◽  
Alessandro Manzi ◽  
Alessandra Moschetti ◽  
...  
Keyword(s):  
Social Network ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Network Interfaces
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