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EN
Autonomous driving is no longer just an idea of technology vision instead a real technical trend all over the world. The continuing development to a further level of autonomy requires more on mobile robots safety while bringing more challenges to human-vehicle interaction. A robot autonomous vehicle (AV) as a research platform operates an experimental study on human-AV-interaction (HAVI) and performs a novel method for mobile robot safety assurance. Not only autonomous driving technology itself but human cognition also performs an essential role in how to ensure better autonomous mobile robot safety. A Wizard-of-Oz experiment in the university combing a survey-based study indicates public attitudes towards driverless robot vehicles. HAVI experiment have been carried through light patterns designed for experiment. This paper presents an attempt to investigate humans’ acceptance and emotions as well as a validation to bring the mobile robot vehicle to a high-level autonomy.
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tom nr 26(1)
77--96
EN
Unreadable and inconveniently arranged instruments make it difficult for the driver to accurately read signals and understand the relayed information. They can distract the driver and prolong response times, thus posing a risk to traffic safety. Designers also have to account for customer expectations, including a demand for esthetically appealing dashboards that incorporate vast amounts of data in limited space since such dashboards appear to be maximally adapted to the driver’s needs. However, attractive dashboards are not always adapted to human perceptual abilities. A neural model was developed in the study to objectively assess dashboard ergonomics in passenger cars. The data were used to determine the correlations between subjective driver impressions and the functionality and ergonomics of dashboards evaluated objectively based on the adopted criteria. With the best-learned networks, 3 conformance classes were obtained for the predicted cases. However, taking into account the ± 1 class, as many as 3 of the preserved ANN gave correct answers in all 6 cases.
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nr 2
40-65
EN
This article aims to clarify the essence of the concept of “artificial sociality” in the context of human-machine interaction, answering the main research question of this study - is artificial sociality a prerequisite or a result of this interaction? To achieve this aim, the authors conducted a logical analysis of the definitions of sociality and artificial sociality presented in the scientific literature as well as empirically studied artificial sociality in the context of human-machine interaction, using three methods - method of comparing means, correlation and discriminant analysis. All three methods applied for the analysis of the same data: indicators of the potential of human-machine interaction and G. Hofstede’s six cultural dimensions in the countries of the world (n = 63). With the help of cultural dimensions the authors tried to interpret empirically the degree of “artificiality” of the culture of a particular country (based on the methodological approach about the presence of “natural” and “artificial” in a culture), which [“artificiality”of the culture] determines the development of artificial sociality. The main conclusions of the research are as follows: 1) sociality is understood by the authors not as characteristics of agents included in the communication network, but as a result of the implementation of these characteristics - the mechanism of social interactions created and used by communicating agents, which [social interactions] are of various types: cooperation, rivalry, grouping, merging, etc.; 2) artificial sociality presupposes - and thus differs from natural sociality ñ artificial (algorithmic), as opposed to natural (associative or intuitive), mechanism of interaction between social agents in the course of their communication; 3) artificial sociality arose in human society along with the development of writing and, after that, various methods of processing and storing information (cataloging, archiving, etc.), i.e. long before the appearance of machines, it [artificial sociality] is determined by the relative “artificiality” of a culture and is a prerequisite, but not a result of human-machine interaction. The research funded by the Erasmus+ Programme of the European Union, Eurokey project No. 2017-1-TR01-KA202-046115.
EN
This article presents the results of extensive tests of a stereovision safety system performed using real and artificial images. A vision based protective device (VBPD) analyses images from 2 cameras to calculate the position of a worker and moving parts of a machine (e.g., an industrial robot’s arm). Experiments show that the stereovision safety system works properly in real time even when subjected to rapid changes in illumination level. Experiments performed with a functional model of an industrial robot indicate that this safety system can be used to detect dangerous situations at workstations equipped with a robot, in human–robot cooperation. Computer-generated artificial images of a workplace simplify and accelerate testing procedures, and make it possible to compare the effectiveness of VBPDs and other protective devices at no additional cost.
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Content available An Ergonomics Evaluation of Certain ATM Dimensions
63%
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tom Vol. 19, No. 3
347--353
EN
Although millions of automatic teller machines (ATMs) are currently used all over the world, users of ATMs still have usability problems including inappropriate user-ATM interaction, display problems and others. Many developed countries already have standards in place for ATMs. However, this is not the case in many other countries. This paper aims to assess certain dimensions of ATM machines and their suitability for users in Middle Eastern countries using anthropometric measurements of the user population taking Saudi Arabia as a case study. Dimensions of all ATMs used in Saudi Arabia were measured and compared with recommended dimensions based on anthropometric measurements of the user population. Results show that there is a mismatch between the dimensions of ATMs used in Saudi Arabia and the recommended dimensions based on the user population. Practical recommendations are given as to improve the usability of ATMs in Saudi Arabia and other Middle Eastern countries.
EN
This paper explores the parallel collaboration of multimodal physiological signals, combining eye tracker output signals, motor imagery, and error-related potentials to control a computer mouse. Specifically, a parallel working mechanism is implemented in the decision layer, where the eye tracker manages cursor movements, and motor imagery manages click functions. Meanwhile, the eye tracker output signals are integrated with electroencephalography data to detect the idle state for asynchronous control. Additionally, error-related potentials evoked by visual feedback, are detected to reduce the cost of error corrections. To efficiently collect data and provide continuous evaluations, we performed offline training and online testing in the designed paradigm. To further validate the practicability, we conducted online experiments on the real-world computer, focusing on a scenario of opening and closing files. The experiments involved seventeen subjects. The results showed that the stability of the eye tracker was optimized from 67.6% to 95.2% by the designed filter, providing the support for parallel control. The accuracy of motor imagery conducted simultaneously with fixations reached 93.41 ± 2.91%, proving the feasibility of parallel control. Furthermore, the real-world experiments took 45.86 ± 14.94 s to complete three movements and clicks, and showed a significant improvement compared to the baseline experiment without automatic error correction, validating the practicability of the system and the efficacy of error-related potentials detection. Moreover, this system freed users from the stimulus paradigm, enabling a more natural interaction. To sum up, the parallel collaboration of multimodal physiological signals is novel and feasible, the designed mouse is practical and promising.
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