scholarly journals Implications from Responsible Human-Robot Interaction with Anthropomorphic Service Robots for Design Science

2022 ◽  
Author(s):  
Merlind Knof ◽  
Judith S. Heinisch ◽  
Jérôme Kirchhoff ◽  
Niyati Rawal ◽  
Klaus David ◽  
...  
Keyword(s):  
Design Science ◽  
Human Robot Interaction ◽  
Service Robots ◽  
Robot Interaction

Vision-based Human-Robot Interaction Components for URC Intelligent Service Robots

2006 ◽  
Author(s):  
Keun-chang Kwak ◽  
Do-hyung Kim ◽  
Byoung-youl Song ◽  
Dae-ha Lee ◽  
Soo-young Chi ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Service Robots ◽  
Robot Interaction

scholarly journals Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach

2020 ◽  
Vol 10 (22) ◽  
pp. 7992
Author(s):  
Jinseok Woo ◽  
Yasuhiro Ohyama ◽  
Naoyuki Kubota
Keyword(s):  
System Integration ◽  
Industrial Sector ◽  
Human Robot Interaction ◽  
Service Robots ◽  
Smart Devices ◽  
Smart Device ◽  
User Centered Design ◽  
Human Communication ◽  
Robot Interaction ◽  
Development Platform

This paper presents a robot partner development platform based on smart devices. Humans communicate with others based on the basic motivations of human cooperation and have communicative motives based on social attributes. Understanding and applying these communicative motives become important in the development of socially-embedded robot partners. Therefore, it is becoming more important to develop robots that can be applied according to needs while taking these human communication elements into consideration. The role of a robot partner is more important in not only on the industrial sector but also in households. However, it seems that it will take time to disseminate robots. In the field of service robots, the development of robots according to various needs is important and the system integration of hardware and software becomes crucial. Therefore, in this paper, we propose a robot partner development platform for human-robot interaction. Firstly, we propose a modularized architecture of robot partners using a smart device to realize a flexible update based on the re-usability of hardware and software modules. In addition, we show examples of implementing a robot system using the proposed architecture. Next, we focus on the development of various robots using the modular robot partner system. Finally, we discuss the effectiveness of the proposed robot partner system through social implementation and experiments.

Service robots in hotels: understanding the service quality perceptions of human-robot interaction

2019 ◽  
Vol 29 (6) ◽  
pp. 613-635 ◽  
Author(s):  
Youngjoon Choi ◽  
Miju Choi ◽  
Munhyang (Moon) Oh ◽  
Seongseop (Sam) Kim
Keyword(s):  
Service Quality ◽  
Human Robot Interaction ◽  
Service Robots ◽  
Robot Interaction ◽  
Quality Perceptions

Speech-based Human-Robot Interaction Components for URC Intelligent Service Robots

2006 ◽  
Author(s):  
Keun-chang Kwak ◽  
Kyu-dae Ban ◽  
Kyung-suk Bae ◽  
Hye-jin Kim ◽  
Soo-young Chi ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Service Robots ◽  
Robot Interaction

scholarly journals A corroborative approach to verification and validation of human–robot teams

2019 ◽  
Vol 39 (1) ◽  
pp. 73-99 ◽  
Author(s):  
Matt Webster ◽  
David Western ◽  
Dejanira Araiza-Illan ◽  
Clare Dixon ◽  
Kerstin Eder ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Verification And Validation ◽  
Service Robots ◽  
Robot Interaction ◽  
Interaction Task ◽  
Real Robot ◽  
Functional Correctness ◽  
Corroborative Evidence ◽  
The Individual ◽  
Verification Model

We present an approach for the verification and validation (V&V) of robot assistants in the context of human–robot interactions, to demonstrate their trustworthiness through corroborative evidence of their safety and functional correctness. Key challenges include the complex and unpredictable nature of the real world in which assistant and service robots operate, the limitations on available V&V techniques when used individually, and the consequent lack of confidence in the V&V results. Our approach, called corroborative V&V, addresses these challenges by combining several different V&V techniques; in this paper we use formal verification (model checking), simulation-based testing, and user validation in experiments with a real robot. This combination of approaches allows V&V of the human–robot interaction task at different levels of modeling detail and thoroughness of exploration, thus overcoming the individual limitations of each technique. We demonstrate our approach through a handover task, the most critical part of a complex cooperative manufacturing scenario, for which we propose safety and liveness requirements to verify and validate. Should the resulting V&V evidence present discrepancies, an iterative process between the different V&V techniques takes place until corroboration between the V&V techniques is gained from refining and improving the assets (i.e., system and requirement models) to represent the human–robot interaction task in a more truthful manner. Therefore, corroborative V&V affords a systematic approach to “meta-V&V,” in which different V&V techniques can be used to corroborate and check one another, increasing the level of certainty in the results of V&V.

Project Donaxi@HOME Service Robot

2013 ◽  
Vol 423-426 ◽  
pp. 2817-2820 ◽  
Author(s):  
Hector S. Vargas ◽  
Edson Olmedo ◽  
Aldo Daniel Martinez ◽  
Victor Poisot ◽  
Agustin Perroni ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Service Robots ◽  
Service Robot ◽  
Robot Interaction ◽  
Effective Implementation ◽  
Modular Software ◽  
Detection And Tracking ◽  
Home Service Robot ◽  
Home Service ◽  
Human Face Detection

Donaxi is a prototype to improve their different capacities in the area of service robotics. This paper describes the functional architecture design and the different modules that integrate it of the service robot Donaxi of UPAEP. Novel results are presented here in the area of face recognition; we propose theHybrid Algorithm to Human-Face Detection and Tracking UnrestrictedandIdentification of People on the Floor Due to a Fall or Other Accident. The robot Donaxi is used as a vehicle for research in control of movement and human-robot interaction. The at Home League of RoboCup provides an ideal tested for such aspects of dynamic in motion indoor, skills to manipulate objects, aptitudes to intergesticulate with the persons in natural language and more. A modular software architecture as well as further technologies have been developed for efficient and effective implementation and test of modules for sensing, planning, behavior, and actions of service robots.

scholarly journals Say What You Are Looking At: An Attention-Based Interactive System for Autistic Children

2021 ◽  
Vol 11 (16) ◽  
pp. 7426
Author(s):  
Furong Deng ◽  
Yu Zhou ◽  
Sifan Song ◽  
Zijian Jiang ◽  
Lifu Chen ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Gaze Following ◽  
Service Robots ◽  
Interactive System ◽  
Robot Interaction ◽  
The Gaze ◽  
Intention Understanding ◽  
First Time ◽  
Children’S Rehabilitation ◽  
Image Caption

Gaze-following is an effective way for intention understanding in human–robot interaction, which aims to follow the gaze of humans to estimate what object is being observed. Most of the existing methods require people and objects to appear in the same image. Due to the limitation in the view of the camera, these methods are not applicable in practice. To address this problem, we propose a method of gaze following that utilizes a geometric map for better estimation. With the help of the map, this method is competitive for cross-frame estimation. On the basis of this method, we propose a novel gaze-based image caption system, which has been studied for the first time. Our experiments demonstrate that the system follows the gaze and describes objects accurately. We believe that this system is competent for autistic children’s rehabilitation training, pension service robots, and other applications.

scholarly journals More Than a Feeling—Interrelation of Trust Layers in Human-Robot Interaction and the Role of User Dispositions and State Anxiety

2021 ◽  
Vol 12 ◽  
Author(s):  
Linda Miller ◽  
Johannes Kraus ◽  
Franziska Babel ◽  
Martin Baumann
Keyword(s):  
Interaction Design ◽  
State Anxiety ◽  
Social Life ◽  
Human Robot Interaction ◽  
Service Robots ◽  
Psychological Processes ◽  
User Characteristics ◽  
Robot Interaction ◽  
Learning History ◽  
Propensity To Trust

With service robots becoming more ubiquitous in social life, interaction design needs to adapt to novice users and the associated uncertainty in the first encounter with this technology in new emerging environments. Trust in robots is an essential psychological prerequisite to achieve safe and convenient cooperation between users and robots. This research focuses on psychological processes in which user dispositions and states affect trust in robots, which in turn is expected to impact the behavior and reactions in the interaction with robotic systems. In a laboratory experiment, the influence of propensity to trust in automation and negative attitudes toward robots on state anxiety, trust, and comfort distance toward a robot were explored. Participants were approached by a humanoid domestic robot two times and indicated their comfort distance and trust. The results favor the differentiation and interdependence of dispositional, initial, and dynamic learned trust layers. A mediation from the propensity to trust to initial learned trust by state anxiety provides an insight into the psychological processes through which personality traits might affect interindividual outcomes in human-robot interaction (HRI). The findings underline the meaningfulness of user characteristics as predictors for the initial approach to robots and the importance of considering users’ individual learning history regarding technology and robots in particular.

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