scholarly journals Mind the Eyes: Artificial Agents’ Eye Movements Modulate Attentional Engagement and Anthropomorphic Attribution

2021 ◽  
Vol 8 ◽  
Author(s):  
Davide Ghiglino ◽  
Cesco Willemse ◽  
Davide De Tommaso ◽  
Agnieszka Wykowska
Keyword(s):  
Eye Movements ◽  
Humanoid Robot ◽  
Artificial Agents ◽  
Human Being ◽  
Human Counterpart ◽  
Human Likeness ◽  
Attentional Engagement

Artificial agents are on their way to interact with us daily. Thus, the design of embodied artificial agents that can easily cooperate with humans is crucial for their deployment in social scenarios. Endowing artificial agents with human-like behavior may boost individuals’ engagement during the interaction. We tested this hypothesis in two screen-based experiments. In the first one, we compared attentional engagement displayed by participants while they observed the same set of behaviors displayed by an avatar of a humanoid robot and a human. In the second experiment, we assessed the individuals’ tendency to attribute anthropomorphic traits towards the same agents displaying the same behaviors. The results of both experiments suggest that individuals need less effort to process and interpret an artificial agent’s behavior when it closely resembles one of a human being. Our results support the idea that including subtle hints of human-likeness in artificial agents’ behaviors would ease the communication between them and the human counterpart during interactive scenarios.

scholarly journals Mind the eyes: artificial agents’ eye movements modulate attentional engagement and anthropomorphic attribution

2020 ◽  
Author(s):  
Davide Ghiglino ◽  
Cesco Willemse ◽  
Davide De Tommaso ◽  
Agnieszka Wykowska
Keyword(s):  
Eye Movements ◽  
Humanoid Robot ◽  
Artificial Agents ◽  
Human Being ◽  
Human Counterpart ◽  
Human Likeness ◽  
Attentional Engagement

Artificial agents are on their way to interact with us daily. Thus, the design of embodied artificial agents that can easily cooperate with humans is crucial for their deployment in social scenarios. Endowing artificial agents with human-like behavior may boost individuals' engagement during the interaction. We tested this hypothesis in two screen-based experiments. In the first one, we compared attentional engagement displayed by participants while they observed the same set of behaviors displayed by an avatar of a humanoid robot and a human. In the second experiment, we assessed the individuals' tendency to attribute anthropomorphic traits towards the same agents displaying the same behaviors. The results of both experiments suggest that individuals need less effort to process and interpret an artificial agent's behavior when it closely resembles one of a human being. Our results support the idea that including subtle hints of human-likeness in artificial agents' behaviors would ease the communication between them and the human counterpart during interactive scenarios

scholarly journals Can I get your (robot) attention? Human sensitivity to subtle hints of human-likeness in a humanoid robot’s behavior

2020 ◽  
Author(s):  
Davide Ghiglino ◽  
Davide De Tommaso ◽  
Cesco Willemse ◽  
Serena Marchesi ◽  
Agnieszka Wykowska
Keyword(s):  
Personality Traits ◽  
Human Behavior ◽  
Humanoid Robot ◽  
Artificial Agents ◽  
Artificial Agent ◽  
Perceptual Cues ◽  
Human Likeness ◽  
Intentional Agents

Designing artificial agents that can closely imitate human behavior, might influence humans in perceiving them as intentional agents. Nonetheless, the factors that are crucial for an artificial agent to be perceived as an animated and anthropomorphic being still need to be addressed. In the current study, we investigated some of the factors that might affect the perception of a robot's behavior as human-like or intentional. To meet this aim, seventy-nine participants were exposed to two different behaviors of a humanoid robot under two different instructions. Before the experiment, participants' biases towards robotics as well as their personality traits were assessed. Our results suggest that participants’ sensitivity to human-likeness relies more on their expectations rather than on perceptual cues.

scholarly journals At first sight: robots’ subtle eye movement parameters affect human attentional engagement, spontaneous attunement and perceived human-likeness

2020 ◽  
Vol 11 (1) ◽  
pp. 31-39
Author(s):  
Davide Ghiglino ◽  
Cesco Willemse ◽  
Davide De Tommaso ◽  
Francesco Bossi ◽  
Agnieszka Wykowska
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Controller Design ◽  
Movement Control ◽  
Human Robot Interaction ◽  
Control Parameters ◽  
Cognitive Mechanisms ◽  
Human Likeness ◽  
Attentional Engagement ◽  
Movement Parameters

AbstractHuman-robot interaction research could benefit from knowing how various parameters of robotic eye movement control affect specific cognitive mechanisms of the user, such as attention or perception. In the present study, we systematically teased apart control parameters of Trajectory Time of robot eye movements (rTT) between two joint positions and Fixation Duration (rFD) on each of these positions of the iCub robot. We showed recordings of these behaviors to participants and asked them to rate each video on how human-like the robot’s behavior appeared. Additionally, we recorded participants’ eye movements to examine whether the different control parameters evoked different effects on cognition and attention. We found that slow but variable robot eye movements yielded relatively higher human-likeness ratings. On the other hand, the eye-tracking data suggest that the human range of rTT is most engaging and evoked spontaneous involvement in joint attention. The pattern observed in subjective ratings was paralleled only by one measure in the implicit objective metrics, namely the frequency of spontaneous attentional following. These findings provide significant clues for controller design to improve the interaction between humans and artificial agents.

scholarly journals At first sight: robots’ subtle eye movement parameters affect human attentional engagement, spontaneous attunement and perceived human-likeness

2020 ◽  
Author(s):  
Davide Ghiglino ◽  
Cesco Willemse ◽  
Davide De Tommaso ◽  
Francesco Bossi ◽  
Agnieszka Wykowska
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Controller Design ◽  
Movement Control ◽  
Human Robot Interaction ◽  
Control Parameters ◽  
Cognitive Mechanisms ◽  
Human Likeness ◽  
Attentional Engagement ◽  
Movement Parameters

Human-robot interaction research could benefit from knowing how various parameters of robotic eye movement control affect specific cognitive mechanisms of the user, such as attention or perception. In the present study, we systematically teased apart control parameters of Trajectory Time of robot eye movements (rTT) between two joint positions and Fixation Duration (rFD) on each of these positions of the iCub robot. We showed recordings of these behaviors to participants and asked them to rate each video on how human-like the robot’s behavior appeared. Additionally, we recorded participants’ eye movements to examine whether the different control parameters evoked different effects on cognition and attention. We found that slow but variable robot eye movements yielded relatively higher human-likeness ratings. On the other hand, the eye-tracking data suggest that the human range of rTT is most engaging and evoked spontaneous involvement in joint attention. The pattern observed in subjective ratings was paralleled only by one measure in the implicit objective metrics, namely the frequency of spontaneous attentional following. These findings provide significant clues for controller design to improve the interaction between humans and artificial agents.

scholarly journals Humanoid Robot Control System Balance Dance Indonesia and Reader Filters Using Complementary Angle Values

2018 ◽  
Vol 31 ◽  
pp. 10003
Author(s):  
Sholihin ◽  
Eka Susanti
Keyword(s):  
Control System ◽  
Robot Control ◽  
Humanoid Robot ◽  
Sampling Time ◽  
The Other ◽  
Advanced Technology ◽  
Human Being ◽  
Time Sampling ◽  
Filter Coefficient ◽  
Reference Axis

The development of increasingly advanced technology, make people want to be more developed and curiosity to know more to determine the development of advanced technology. Robot is a tool that can be used as a tool for people who have several advantages. Basically humanoid robot is a robot that resembles a human being with all the driving structure. In the application of this humanoid robot manufacture researchers use MPU6050 module which is an important component of the robot because it can provide a response to the angle reference axis X and Y reference axis, the reading corner still has noise if not filtered out beforehand. On the other hand the use of Complementary filters are the answer to reduce the noise. By arranging the filter coefficients and time sampling filter that affects the signal updates corner. The angle value will be the value of the sensor to the process to the PID system which generates output values that are integrated with the servo pulses. Researchers will test to get a reading of the most stable angle for this experiment is the "a" or the value of the filter coefficient = 0.96 and "dt" or the sampling time = 10 ms.

scholarly journals Humanoid Robot Head Design Based on Uncanny Valley and FACS

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Jizheng Yan ◽  
Zhiliang Wang ◽  
Yan Yan
Keyword(s):  
Intelligent Control ◽  
Humanoid Robot ◽  
Human Robot Interaction ◽  
Human Being ◽  
Uncanny Valley ◽  
Coding System ◽  
Robot Interaction ◽  
Series Of Experiments ◽  
Robot Head ◽  
The Relationship

Emotional robots are always the focus of artificial intelligence (AI), and intelligent control of robot facial expression is a hot research topic. This paper focuses on the design of humanoid robot head, which is divided into three steps to achieve. The first step is to solve the uncanny valley about humanoid robot, to find and avoid the relationship between human being and robot; the second step is to solve the association between human face and robot head; compared with human being and robots, we analyze the similarities and differences and explore the same basis and mechanisms between robot and human analyzing the Facial Action Coding System (FACS), which guides us to achieve humanoid expressions. On the basis of the previous two steps, the third step is to construct a robot head; through a series of experiments we test the robot head, which could show some humanoid expressions; through human-robot interaction, we find people are surprised by the robot head expression and feel happy.

Walking Control of Humanoid Robots on Uneven Ground Using Fuzzy Algorithm

2019 ◽  
pp. 352-361
Author(s):  
Saeed Abdolshah ◽  
Mohammad Abdolshah ◽  
Majid Abdolshah ◽  
S. Vahid Hashemi
Keyword(s):  
Output Signal ◽  
Humanoid Robot ◽  
Humanoid Robots ◽  
Moment Of Inertia ◽  
Robot Motion ◽  
Human Being ◽  
Fuzzy Algorithm ◽  
Walking Control ◽  
The Moment ◽  
Flat Ground

Walking control of humanoid robots is a challenging issue. In this chapter, a method for modeling humanoid robots is presented considering the human being indices such as DOFs, mass and the moment of inertia of the segments. In the next step, a walking pattern on the flat ground is generated and the robot motion is simulated in the MSC. Visual Nastran 4D™ software. ZMP trajectory of the simulated humanoid robot in walking cycle has been obtained. An uneven ground is generated in the software, where the robot falls down during the motion. A fuzzy algorithm is employed to balance the robot; input is defined as the differences between the projections of ZMP in flat and uneven ground and output is a compensative signal to make the robot follow the flat ground ZMP pattern to refuse the robot falling. Output signal is distributed in different joints to make faster and more effective compensation. Although the type of uneven ground can be important, but the robot could successfully pass the designed uneven ground in MSC.Visual Nastran 4D.

A Test Environment for Studying the Human-Likeness of Robotic Eye Movements*

2017 ◽  
pp. 295-312
Author(s):  
Kohlbecher Stefan ◽  
Bartl Klaus ◽  
Schneider Erich ◽  
Wallhoff Frank
Keyword(s):  
Eye Movements ◽  
Test Environment ◽  
Human Likeness

Design and Kick Analysis of a Soccer Playing Robot

2014 ◽  
Vol 541-542 ◽  
pp. 1087-1091
Author(s):  
Hossain Alamgir ◽  
Zaman Rahid ◽  
Rahman Miftahur ◽  
Raihan Masud ◽  
Abdullah Fardan ◽  
...  
Keyword(s):  
Structural Analysis ◽  
System Design ◽  
Trajectory Planning ◽  
Humanoid Robot ◽  
Initial Step ◽  
Forward Kinematics ◽  
Engineering System ◽  
Human Being ◽  
Engineering System Design ◽  
Mathematical Derivation

For the implementation of an idea, it is essential to have a full engineering system design, simulation and analysis. MISTBOY is such a dream-bot which can perform football skills like a human being. This is an on going humanoid robot project, initially having 17 DoF, 55 cm height and 5 kg weight. In this paper, the initial step towards the making of a humanoid robot is discussed and the balancing and structural analysis through mathematical derivation and simulation are also presented here with good result. This paper is focused on forward kinematics, trajectory planning, balancing, force and torque calculation and kick analysis.

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