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1
Content available Factor analysis of the Polish version of Godspeed questionnaire (GQS)
Szczepanowski Remigiusz, Niemiec Tomasz, Cichoń Ewelina, Arent Krzysztof, Florkowski Marcin, Sobecki Janusz
Journal of Automation Mobile Robotics and Intelligent Systems
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2022
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Vol. 16, No. 2
30--35
EN
The rapid development of robotics involves human‐robot interaction (HRI). It is a necessary to assess user satis‐ faction to develop HRI effectively. Thus, HRI calls for in‐ terdisciplinary research, including psychological instru‐ ments such as survey questionnaire design. Here, we pre‐ sent a factor analysis of a Polish version of the Godspeed Questionnaire (GSQ) used to measure user satisfaction. The questionnaire was administered to 195 participants. Then, factor analysis of the GSQ was performed. Finally, reliability analysis of the Polish version of the GSQ was done. The adapted version of the survey was characte‐ rized by a four‐factor structure, i.e., anthropomorphism, perceived intelligence, likeability, and perceived safety, with good psychometric properties.
2
Content available remote HMM-based phoneme speech recognition system for the control and command of industrial robots
Naik Adwait
Technical Transactions
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2021
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Vol. 118, iss. 1
art. no. e2021002
EN
n recent years, the integration of human-robot interaction with speech recognition has gained a lot of pace in the manufacturing industries. Conventional methods to control the robots include semi-autonomous, fully-autonomous, and wired methods. Operating through a teaching pendant or a joystick is easy to implement but is not effective when the robot is deployed to perform complex repetitive tasks. Speech and touch are natural ways of communicating for humans and speech recognition, being the best option, is a heavily researched technology. In this study, we aim at developing a stable and robust speech recognition system to allow humans to communicate with machines (robotic-arm) in a seamless manner. This paper investigates the potential of the linear predictive coding technique to develop a stable and robust HMM-based phoneme speech recognition system for applications in robotics. Our system is divided into three segments: a microphone array, a voice module, and a robotic arm with three degrees of freedom (DOF). To validate our approach, we performed experiments with simple and complex sentences for various robotic activities such as manipulating a cube and pick and place tasks. Moreover, we also analyzed the test results to rectify problems including accuracy and recognition score.
3
Content available Hubero : a framework to simulate human behaviour in robot research
Karwowski Jarosław, Dudek Wojciech, Węgierek Maciej, Winiarski Tomasz
Journal of Automation Mobile Robotics and Intelligent Systems
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2021
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Vol. 15, No. 1
31--38
EN
Social robots’ software is commonly tested in a simula‐ tion due to the safety and convenience reasons as well as an environment configuration repeatability assurance. An interaction between a robot and a human requires ta‐ king a person presence and his movement abilities into consideration. The purpose of the article is to present the HuBeRo framework, which can be used to simulate hu‐ man motion behaviour. The framework allows indepen‐ dent control of each individual’s activity, which distinguis‐ hes the presented approach from state‐of‐the‐art, open‐ source solutions from the robotics domain. The article presents the framework assumptions, architecture, and an exemplary application with respect to presented sce‐ narios.
4
Content available Development of Speaker Voice Identification Using Main Tone Boundary Statistics for Applying To Robot-Verbal Systems
Amirgaliyev Yedilkhan, Musabayev Timur, Yedilkhan Didar, Wojcik Waldemar, Amirgaliyeva Zhazira
International Journal of Electronics and Telecommunications
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2020
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Vol. 66, No. 3
583--588
EN
Hereby there is given the speaker identification basic system. There is discussed application and usage of the voice interfaces, in particular, speaker voice identification upon robot and human being communication. There is given description of the information system for speaker automatic identification according to the voice to apply to robotic-verbal systems. There is carried out review of algorithms and computer-aided learning libraries and selected the most appropriate, according to the necessary criteria, ALGLIB. There is conducted the research of identification model operation performance assessment at different set of the fundamental voice tone. As the criterion of accuracy there has been used the percentage of improperly classified cases of a speaker identification.
5
Content available remote Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis
Łupokowski Paweł, Gieszewska Marta
Foundations of Computing and Decision Sciences
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2019
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Vol. 44, No. 1
101--119
EN
The main aim of the presented study was to check whether the wellestablished measures concerning the attitude towards humanoid robots are good predictors for the uncanny valley effect. We present a study in which 12 computer rendered humanoid models were presented to our subjects. Their declared comfort level was cross-referenced with the Belief in Human Nature Uniqueness (BHNU) and the Negative Attitudes toward Robots that Display Human Traits (NARHT) scales. Subsequently, there was no evidence of a statistical signicance between these scales and the existence of the uncanny valley phenomenon. However, correlations between expected stress level while human-robot interaction and both BHNU, as well as NARHT scales, were found. The study covered also the evaluation of the perceived robots' characteristic and the emotional response to them.
6
Content available Psychologiczne aspekty interakcji człowiek-robot
Rudnicka P.
Medical Robotics Reports
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2014
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vol. 3
53--59
PL
W ostatnich latach obserwować możemy intensywny rozwój robotyki i ekspansję robotów poza zastosowania w przemyśle, wojsku czy medycynie. Coraz większa dostępność cenowa sprawia, że obecność robotów w domach, pełniących różnorodne funkcje od sprzątania poprzez rozrywkę staje się czymś coraz bardziej powszechnym. Roboty to najbardziej zaawansowane technologicznie maszyny stworzone przez człowieka i przez niego używane. Projektowanie i konstruowanie robotów, pełniących nowe role współpracowników, towarzyszy i opiekunów, a przede wszystkim wprowadzanie ich do użytku na skalę masową, stawia nowe wyzwania przed wieloma dziedzinami nauki stanowiącymi podstawę nowej dyscypliny jaką jest interakcja człowiek-robot (HRI, Human-Robot Interaction). Celem tego artykuły jest przybliżenie psychologicznych zagadnień związanych z interakcją człowiek-robot w obszarze robotyki medycznej.
EN
In recent years we observe the rapid development in the field of robotics and robots expansion beyond manufacturing, military, and medical domain. Becoming increasingly affordable makes robots’ presence in households, where they are performing a variety of functions from cleaning through entertainment, something more and more common. Robots are the most technologically advanced machines created by humans and destined to serve them. To design and construct a robot performing new roles of workplace peers, companions caretakers, and guardians and to turn them into a mass product presents challenges for Human- Robot Interaction (HRI). The purpose of this paper is to outline psychological issues related to HRI in the specific field of medical robotics.
7
Content available An NLP-based approach for improving human-robot interaction
Kilicaslan Y., Tuna G.
Journal of Artificial Intelligence and Soft Computing Research
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2013
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Vol. 3, No. 3
189--200
EN
This study aims to explore the possibility of improving human-robot interaction (HRI) by exploiting natural language resources and using natural language processing (NLP) methods. The theoretical basis of the study rests on the claim that effective and efficient human robot interaction requires linguistic and ontological agreement. A further claim is that the required ontology is implicitly present in the lexical and grammatical structure of natural language. The paper offers some NLP techniques to uncover (fragments of) the ontology hidden in natural language and to generate semantic representations of natural language sentences using that ontology. The paper also presents the implementation details of an NLP module capable of parsing English and Turkish along with an overview of the architecture of a robotic interface that makes use of this module for expressing the spatial motions of objects observed by a robot.
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