Human–Robot Interaction: When Investors Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending

2021 ◽  
Author(s):  
Ruyi Ge ◽  
Zhiqiang (Eric) Zheng ◽  
Xuan Tian ◽  
Li Liao
Keyword(s):  
Peer To Peer ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Investment Performance ◽  
Human In The Loop ◽  
Peer Lending ◽  
Advising Services

We study the human–robot interaction of financial-advising services in peer-to-peer lending (P2P). Many crowdfunding platforms have started using robo-advisors to help lenders augment their intelligence in P2P loan investments. Collaborating with one of the leading P2P companies, we examine how investors use robo-advisors and how the human adjustment of robo-advisor usage affects investment performance. Our analyses show that, somewhat surprisingly, investors who need more help from robo-advisors—that is, those encountered more defaults in their manual investing—are less likely to adopt such services. Investors tend to adjust their usage of the service in reaction to recent robo-advisor performance. However, interestingly, these human-in-the-loop interferences often lead to inferior performance.

Defining the Challenges Operators Face when Controlling Multiple Unmanned Vehicles

2005 ◽  
Vol 49 (3) ◽  
pp. 392-396
Author(s):  
Peter N. Squire ◽  
Raja Parasuraman
Keyword(s):  
Supervisory Control ◽  
Unmanned Vehicles ◽  
Human Robot Interaction ◽  
Human Operator ◽  
Simulation Environment ◽  
Robot Interaction ◽  
Human In The Loop ◽  
Control Interface ◽  
New Findings ◽  
Single Operator

To achieve effective human-robot interaction (HRI) it is important to determine what types of supervisory control interfaces lead to optimal human-robot teaming. Research in HRI has demonstrated that operators controlling fewer robots against opponents of equal strength face greater challenges when control is restricted to only automation. Using human-in-the-loop evaluations of delegation-type interfaces, the present study examined the challenges and outcomes of a single operator supervising (1) more or less robots than a simulated adversary, with either a (2) flexible or restricted control interface. Testing was conducted with 12 paid participants using the RoboFlag simulation environment. Results from this experiment support past findings of execution timing deficiencies related to automation brittleness, and present new findings that indicate that successful teaming between a single human operator and a robotic team is affected by the number of robots and the type of interface.

scholarly journals The Peer-to-Peer Human-Robot Interaction Project

Space 2005 ◽  
2005 ◽  
Author(s):  
Terrence Fong ◽  
Illah Nourbakhsh ◽  
Clayton Kunz ◽  
Lorenzo Fluckiger ◽  
John Schreiner ◽  
...  
Keyword(s):  
Peer To Peer ◽  
Human Robot Interaction ◽  
Robot Interaction

Human-adaptive control of series elastic actuators

Robotica ◽  
2014 ◽  
Vol 32 (8) ◽  
pp. 1301-1316 ◽  
Author(s):  
Andrea Calanca ◽  
Paolo Fiorini
Keyword(s):  
Adaptive Control ◽  
Adaptive Algorithms ◽  
Rehabilitation Robotics ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Human Dynamics ◽  
Human In The Loop ◽  
Control Response ◽  
Series Elastic Actuators ◽  
Series Elastic

SUMMARYForce-controlled series elastic actuators (SEAs) are the widely used components of novel physical human–robot interaction applications such as assistive and rehabilitation robotics. These systems are characterized by the presence of the “human in the loop” so that control response and stability depend on uncertain human dynamics. A common approach to guarantee stability is to use a passivity-based controller. Unfortunately, existing passivity-based controllers for SEAs do not define the performance of the force/torque loop. We propose a method to obtain predictable force/torque dynamics based on adaptive control and oversimplified human models. We propose a class of stable human-adaptive algorithms and experimentally show advantages of the proposed approach.

Safe Human–Robot Interaction in Medical Robotics: A case study on Robotic Fracture Surgery System

2017 ◽  
Vol 02 (03) ◽  
pp. 1740008 ◽  
Author(s):  
Ioannis Georgilas ◽  
Giulio Dagnino ◽  
Sanja Dogramadzi
Keyword(s):  
Human Factors ◽  
System Design ◽  
Information Flow ◽  
Process Analysis ◽  
Medical Robotics ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Human In The Loop ◽  
Fracture Surgery

This paper presents a safety analysis of a Robotic Fracture Surgery System using the Systems-Theoretic Process Analysis (STPA). It focuses particularly on hazards caused by the human in the loop. The robotic system and operating staff are modeled including information flow between different components of the system. The analysis has generated a set of requirements for the system design that can ultimately mitigate the identified hazards, as well as a preliminary set of human factors that can improve safety.

Trust-Based Runtime Verification for Multi-Quad-Rotor Motion Planning With a Human-in-the-Loop

2018 ◽  
Author(s):  
Maziar Fooladi Mahani ◽  
Yue Wang
Keyword(s):  
System Performance ◽  
Cognitive Skills ◽  
Runtime Verification ◽  
Human Robot Interaction ◽  
Unified Framework ◽  
Robot Interaction ◽  
Human In The Loop ◽  
Trust Inference ◽  
Robot Systems

In this paper, we propose a trust-based runtime verification (RV) framework for deploying multiple quad-rotors with a human-in-the-loop (HIL). By bringing together approaches from runtime verification, trust-based decision-making, human-robot interaction (HRI), and hybrid systems, we develop a unified framework that is capable of integrating human cognitive skills with autonomous capabilities of multi-robot systems to improve system performance and maximize the intuitiveness of the human-robot-interaction. On top of the RV framework, we utilize a probabilistic trust inference model as the key component in forming the HRI, designed to maintain the system performance. A violation avoidance controller is designed to account for the unexpected/unmodeled environment behaviors e.g. collision with static/moving obstacles. We also use the automata theoretic approaches to generate motion plans for the quad-rotors working in a partially-known environment by automatic synthesis of controllers enforcing specifications given in temporal logic languages. Finally, we illustrated the effectiveness of this framework as well as its feasibility through a simulated case study.

scholarly journals A Preliminary Study of Peer-to-Peer Human-Robot Interaction

2006 ◽  
Author(s):  
Terrence Fong ◽  
Jean Scholtz ◽  
Julie A. Shah ◽  
Lorenzo Fluckiger ◽  
Clayton Kunz ◽  
...  
Keyword(s):  
Peer To Peer ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Preliminary Study
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