Impact of trajectory profiles on user stress in close human-robot interaction

2018 ◽  
Vol 66 (6) ◽  
pp. 483-491
Author(s):  
Barbara Kühnlenz ◽  
Maximilian Erhart ◽  
Marcel Kainert ◽  
Zhi-Qiao Wang ◽  
Julian Wilm ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Stress ◽  
User Study ◽  
Industrial Robot ◽  
Skin Resistance ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
The Impact ◽  
Average Skin

Abstract The impact of different trajectory embodiments in terms of velocity profiles on users’ mental stress in close human-robot interaction is investigated. A cooperative assembly scenario is chosen using a standard industrial robot. Conditions are implemented in a repeated measures within-subjects design comparing linear with trapezoidal trajectories. Heart rate variability and galvanic skin conductance are chosen as objective stress markers and evaluated using the average standard deviation of the beat-to-beat intervals (SDNN) and the average skin resistance. Additionally, evaluations of user experience and acceptance are conducted based on evaluated subjective measures. The results of the user study reveal a significant increase of average heart rate variability and average skin resistance in the trapezoidal condition indicating a reduced mental stress level independent of demographical and dispositional factors.

scholarly journals The impact of sedentarism on heart rate variability (HRV) at rest and in response to mental stress in young women

2018 ◽  
Vol 6 (18) ◽  
pp. e13873 ◽  
Author(s):  
José Robertto Zaffalon Júnior ◽  
Ariane Oliveira Viana ◽  
Gileno Edu Lameira de Melo ◽  
Kátia De Angelis
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Young Women ◽  
Mental Stress ◽  
The Impact

scholarly journals Comparison Analysis of Different Time-Scale Heart Rate Variability Signals for Mental Workload Assessment in Human-Robot Interaction

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shiliang Shao ◽  
Ting Wang ◽  
Yawei Li ◽  
Chunhe Song ◽  
Yihan Jiang ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Time Scales ◽  
Time Scale ◽  
Mental Workload ◽  
Human Robot Interaction ◽  
Machine Learning Algorithms ◽  
Robot Interaction ◽  
Ecg Signals ◽  
Different Time Scales

Excessive mental workload affects human health and may lead to accidents. This study is motivated by the need to assess mental workload in the process of human-robot interaction, in particular, when the robot performs a dangerous task. In this study, the use of heart rate variability (HRV) signals with different time scales in mental workload assessment was analyzed. A humanoid dual-arm robot that can perform dangerous work was used as a human-robot interaction object. Electrocardiogram (ECG) signals of six subjects were collected in two states: during the task and in a relaxed state. Multiple time-scale (1, 3, and 5 min) HRV signals were extracted from ECG signals. Then, we extracted the same linear and nonlinear features from the HRV signals at different time scales. The performance of machine learning algorithms using the different time-scale HRV signals obtained during the human-robot interaction was evaluated. The results show that for the per-subject case with a 3 min HRV signal length, the K -nearest neighbor classifier achieved the best mental workload classification performance. For the cross-subject case with a 5 min time-scale signal length, the gentle boost classifier achieved the best mental workload classification accuracy. This study provides a novel research idea for using HRV signals to measure mental workload during human-robot interaction.

scholarly journals How Ethical Issues Raised by Human–Robot Interaction can Impact the Intention to use the Robot?

2022 ◽  
Author(s):  
Reza Etemad-Sajadi ◽  
Antonin Soussan ◽  
Théo Schöpfer
Keyword(s):  
Structural Equation ◽  
User Study ◽  
Ethical Issues ◽  
Human Robot Interaction ◽  
Equation Modeling ◽  
Intention To Use ◽  
Robot Interaction ◽  
Final Sample ◽  
Perception Of Robots ◽  
The Impact

AbstractThe goal of this research is to focus on the ethical issues linked to the interaction between humans and robots in a service delivery context. Through this user study, we want to see how ethics influence user’s intention to use a robot in a frontline service context. We want to observe the importance of each ethical attribute on user’s intention to use the robot in the future. To achieve this goal, we incorporated a video that showed Pepper, the robot, in action. Then respondents had to answer questions about their perception of robots based on the video. Based on a final sample of 341 respondents, we used structural equation modeling (SEM) to test our hypotheses. The results show that the most important ethical issue is the Replacement and its implications for labor. When we look at the impact of the ethical issues on the intention to use, we discovered that the variables impacting the most are Social cues, Trust and Safety.

scholarly journals Snacking on Whole Almonds for Six Weeks Increases Heart Rate Variability during Mental Stress in Healthy Adults: A Randomized Controlled Trial

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1828
Author(s):  
Vita Dikariyanto ◽  
Leanne Smith ◽  
Philip J. Chowienczyk ◽  
Sarah E. Berry ◽  
Wendy L. Hall
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Stress ◽  
Energy Requirement ◽  
Controlled Trial ◽  
Average Risk ◽  
Cvd Risk ◽  
Randomized Controlled ◽  
Stroop Color Word Test ◽  
The Impact

Cardiac autonomic regulation can be indirectly measured by heart rate variability (HRV). Low HRV, which can be induced by mental stress, is a predictor of risk of sudden cardiac death. Few studies have investigated cause-and-effect relationships between diet and HRV. Nut consumption is associated with CVD risk reduction, but the impact on HRV, particularly in response to stress, is unclear. Men and women (30–70 y) with above average risk of developing CVD were randomly assigned in a 6-week randomized, controlled, parallel arm trial to consume either whole almond or isocaloric control snacks (20% of daily estimated energy requirement). Control snacks contained the average nutrient profile of UK snacks. Five-minute periods of supine heart rate (HR) and HRV were measured at resting and during mental stress (Stroop color-word test) at baseline and six weeks. High frequency (HF) power, which reflects parasympathetic regulation of HR, was increased following almonds during the mental stress task relative to control (mean difference between groups 124 ms2; 95% CI 11, 237; p = 0.031, n = 105), but other indices were unaffected. Snacking on whole almonds instead of typical snacks may reduce risk of CVD partly by ameliorating the suppression of HRV during periods of mental stress.

scholarly journals Impact of Anthropomorphic Robot Design on Trust and Attention in Industrial Human-Robot Interaction

2022 ◽  
Vol 11 (1) ◽  
pp. 1-24
Author(s):  
Linda Onnasch ◽  
Clara Laudine Hildebrandt
Keyword(s):  
Occupational Safety ◽  
Negative Impact ◽  
Industrial Robot ◽  
Human Robot Interaction ◽  
Attention Allocation ◽  
Robot Design ◽  
Robot Interaction ◽  
Positive Effects ◽  
Relevant Task ◽  
The Impact

The application of anthropomorphic features to robots is generally considered beneficial for human-robot interaction (HRI ). Although previous research has mainly focused on social robots, the phenomenon gains increasing attention in industrial human-Robot interaction as well. In this study, the impact of anthropomorphic design of a collaborative industrial robot on the dynamics of trust and visual attention allocation was examined. Participants interacted with a robot, which was either anthropomorphically or non-anthropomorphically designed. Unexpectedly, attribute-based trust measures revealed no beneficial effect of anthropomorphism but even a negative impact on the perceived reliability of the robot. Trust behavior was not significantly affected by an anthropomorphic robot design during faultless interactions, but showed a relatively steeper decrease after participants experienced a failure of the robot. With regard to attention allocation, the study clearly reveals a distracting effect of anthropomorphic robot design. The results emphasize that anthropomorphism might not be an appropriate feature in industrial HRI as it not only failed to reveal positive effects on trust, but distracted participants from relevant task areas which might be a significant drawback with regard to occupational safety in HRI.

The Effect of Anthropomorphism and Failure Comprehensibility on Human-Robot Trust

2020 ◽  
Vol 64 (1) ◽  
pp. 107-111
Author(s):  
Eileen Roesler ◽  
Linda Onnasch
Keyword(s):  
Industrial Robot ◽  
Social Robots ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Context Dependent ◽  
The Impact ◽  
Failure Experience

The application of anthropomorphic features to robots is generally considered to be beneficial for human- robot interaction. Although previous research has mainly focused on social robots, the phenomenon gains increasing attention in industrial human-robot interaction, as well. In this study, the impact of anthropomorphic design of a collaborative industrial robot on the dynamics of trust is examined. Participants interacted with a robot, which was either anthropomorphically or technically designed and experienced either a comprehensible or an incomprehensible fault of the robot. Unexpectedly, the robot was perceived as less reliable in the anthropomorphic condition. Additionally, trust increased after faultless experience and decreased after failure experience independently of the type of error. Even though the manipulation of the design did not result in a different perception of the robot’s anthropomorphism, it still influenced the formation of trust. The results emphasize that anthropomorphism is no universal remedy to increase trust, but highly context dependent.

scholarly journals Human–Robot Interaction through Eye Tracking for Artistic Drawing

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 54
Author(s):  
Lorenzo Scalera ◽  
Stefano Seriani ◽  
Paolo Gallina ◽  
Mattia Lentini ◽  
Alessandro Gasparetto
Keyword(s):  
Eye Tracking ◽  
Assistive Technology ◽  
Movement Disorders ◽  
Industrial Robot ◽  
Experimental Tests ◽  
Human Robot Interaction ◽  
Eye Tracker ◽  
Robot Interaction ◽  
Eye Motion ◽  
Artistic Images

In this paper, authors present a novel architecture for controlling an industrial robot via an eye tracking interface for artistic purposes. Humans and robots interact thanks to an acquisition system based on an eye tracker device that allows the user to control the motion of a robotic manipulator with his gaze. The feasibility of the robotic system is evaluated with experimental tests in which the robot is teleoperated to draw artistic images. The tool can be used by artists to investigate novel forms of art and by amputees or people with movement disorders or muscular paralysis, as an assistive technology for artistic drawing and painting, since, in these cases, eye motion is usually preserved.

Complexity and time asymmetry of heart rate variability are altered in acute mental stress

2014 ◽  
Vol 35 (7) ◽  
pp. 1319-1334 ◽  
Author(s):  
Z Visnovcova ◽  
M Mestanik ◽  
M Javorka ◽  
D Mokra ◽  
M Gala ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Stress ◽  
Time Asymmetry
Sign in / Sign up

Export Citation Format

Share Document