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

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.

2018 ◽  
Vol 66 (6) ◽  
pp. 483-491
Author(s):  
Barbara Kühnlenz ◽  
Maximilian Erhart ◽  
Marcel Kainert ◽  
Zhi-Qiao Wang ◽  
Julian Wilm ◽  
...  

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.


Author(s):  
Eileen Roesler ◽  
Linda Onnasch

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.


Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 54
Author(s):  
Lorenzo Scalera ◽  
Stefano Seriani ◽  
Paolo Gallina ◽  
Mattia Lentini ◽  
Alessandro Gasparetto

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.


2018 ◽  
Vol 6 (1) ◽  
pp. 61-87
Author(s):  
Abdulai Agbaje Salami ◽  
Ahmad Bukola Uthman

Abstract This study examines the impact of bank capital and operating efficiency on the Nigerian deposit money bank financial performance with a view to resolving risk-based and non-risk-based capitals’ dichotomy existing in the bank literature. Using bank-specific data obtained from the annual reports and accounts of 15 banks listed on the Nigerian Stock Exchange between 2012 and 2015, the panel data regression analyses revealed the superiority of standard capital ratio of equity-to-total-assets, a non-risk-based capital, over other measures. While all measures, both risk-based and non-risk-based capitals, showed significantly positive effects on bank performance as measured by return-on-asset, mixed results were obtained from other indicators: return-on-equity and net-interest-margin. Overall, only equity-to-total-assets influenced all adopted performance indicators positively. It was also found that operating efficiency measured by cost-to-income ratio had negative impact on bank performance, but on the average it appeared too high. Thus, incorporating the standard capital ratio of equity-to-total assets into regulatory regime by the banks’ regulator is recommended to ensure its relevance is not overshadowed.


ILR Review ◽  
1987 ◽  
Vol 40 (3) ◽  
pp. 430-441 ◽  
Author(s):  
Katherine P. Dickinson ◽  
Terry R. Johnson ◽  
Richard W. West

This paper provides the first estimates of the net impact of CETA participation on the components of CETA participants' post-program earnings. Employing a sample of 1975 CETA enrollees and comparison groups drawn from the March 1978 CPS using a nearest-neighbor matching technique, the authors estimate statistically significant negative effects on men's earnings and statistically significant positive effects on women's earnings. These results stem partly from the impact of CETA participation on the likelihood of being employed after leaving the program (negative for men, positive for women), but also from a negative impact on hours worked during the year and hourly wage rate for men and a large positive impact on hours worked per week and weeks worked per year for women.


Author(s):  
Ali Momen ◽  
Eva Wiese

Social robots with expressive gaze have positive effects on human-robot interaction. In particular, research suggests that when robots are programmed to express introverted or extroverted gaze behavior, individuals enjoy interacting more with robots that match their personality. However, how this affects social-cognitive performance during human-robot interactions has not been thoroughly examined yet. In the current paper, we examine whether the perceived match between human and robot personality positively affects the degree to which the robot’s gaze is followed (i.e., gaze cueing, as a proxy for more complex social-cognitive behavior). While social attention has been examined extensively outside of human-robot interaction, recent research shows that a robot’s gaze is attended to in a similar way as a human’s gaze. While our results did not support the hypothesis that gaze cueing would be strongest when the participant’s personality matched the robot’s personality, we did find evidence that participants followed the gaze of introverted robots more strongly than the gaze of extroverted robots. This finding suggests that agent’s displaying extroverted gaze behavior may hurt performance in human-robot interaction.


Author(s):  
Joanne Pransky

Purpose The purpose of this paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned-entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Dr Cory Kidd, an inventor, entrepreneur and leading practitioner in the field of human–robot interaction. Dr Kidd shares his 20-year journey of working at the intersection of healthcare and technology and how he applied innovative technologies toward solving large-scale consumer healthcare challenges. Findings Dr Kidd received his BS degree in Computer Science from the Georgia Institute of Technology and earned a National Science Foundation Graduate Research Fellow in Computer and Information Science & Engineering. Dr Kidd received his MS and PhD degrees at the MIT Media Lab in human–robot interaction. While there, he conducted studies that showed the psychological and clinical advantages of using a physical robot over screen-based interactions. While finishing his PhD in 2007, he founded his first company, Intuitive Automata, which created interactive coaches for weight loss. Though Intuitive Automata ceased operations in 2013, Dr Kidd harnessed his extensive knowledge of the healthcare business and the experiences from patient engagement and launched Catalia Health in 2014 with a new platform centered specifically around patient behavior change programs for chronic disease management. Originality/value Dr Kidd is a pioneer of social robotics and has developed groundbreaking technology for healthcare applications that combines artificial intelligence, psychology and medical best practices to deliver everyday care to patients who are managing chronic conditions. He holds patents, including one entitled Apparatus and Method for Assisting in Achieving Desired Behavior Patterns and in an Interactive Personal Health Promoting Robot. Dr Kidd was awarded the inaugural Wall Street Journal and Credit Suisse Technopreneur of the Year in 2010, which is meant to “honor the entry that best applies technology with the greatest potential for commercial success”. He is also the Director of Business Development for the nonprofit Silicon Valley Robotics and is an impact partner for Fresco Capital. He consults, mentors and serves as a Board Member and Advisor to several high-tech startups.


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