scholarly journals A Rollercoaster to Model Touch Interactions during Turbulence

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Alexandre Alapetite ◽  
Emilie Møllenbach ◽  
Anders Stockmarr ◽  
Katsumi Minakata

We contribute to a project introducing the use of a large single touch-screen as a concept for future airplane cockpits. Human-machine interaction in this new type of cockpit must be optimised to cope with the different types of normal use as well as during moments of turbulence (which can occur during flights varying degrees of severity). We propose an original experimental setup for reproducing turbulence (not limited to aviation) based on a touch-screen mounted on a rollercoaster. Participants had to repeatedly solve three basic touch interactions: a single click, a one-finger drag-and-drop, and a zoom operation involving a 2-finger pinching gesture. The completion times of the different tasks as well as the number of unnecessary interactions with the screen constitute the collected user data. We also propose a data analysis and statistical method to combine user performance with observed turbulence, including acceleration and jerk along the different axes. We then report some of the implications of severe turbulence on touch interaction and make recommendations as to how this can be accommodated in future design solutions.

2011 ◽  
Vol 230-232 ◽  
pp. 136-139
Author(s):  
Ou Xie ◽  
Hua Li ◽  
Zhen Yin

A design of Human-machine interaction system of embedded precision CNC internal grinder which based on touch screen is proposed. The master-slave two-stage control mode is used in the system. By developing interface software, the system achieves the integration interactive control for the internal grinding. The performance of Human-machine interaction is improved and the processing efficiency and communication capabilities are increased.


2016 ◽  
pp. 670-704
Author(s):  
Igor Bisio ◽  
Alessandro Delfino ◽  
Fabio Lavagetto ◽  
Mario Marchese

Human-machine interaction is performed by devices such as the keyboard, the touch-screen, or speech-to-text applications. For example, a speech-to-text application is software that allows the device to translate the spoken words into text. These tools translate explicit messages but ignore implicit messages, such as the emotional status of the speaker, filtering out a portion of information available in the interaction process. This chapter focuses on emotion detection. An emotion-aware device can also interact more personally with its owner and react appropriately according to the user's mood, making the user-machine interaction less stressful. The chapter gives the guidelines for building emotion-aware smartphone applications in an opportunistic way (i.e., without the user's collaboration). In general, smartphone applications might be employed in different contexts; therefore, the to-be-detected emotions might be different.


2013 ◽  
Vol 765-767 ◽  
pp. 591-594
Author(s):  
Chao Ying Zhang ◽  
Hu Liu

Using interactive virtual simulation methods and combining numerical calculation software, the 3D airline emergency evacuation simulation system is established in Virtools platform according to the received data. The system takes full account of the passengers' individual differences during the evacuation process, setting up different member parameters, which influence the passengers evacuation behavior. In order to fulfill the different types of evacuation requirements in various simulation, it can change evacuation path algorithm, cabin layout data and evacuees component parameters, to get the corresponding evacuation simulation results. Meanwhile, the system interface can change visual angle to realize human-machine interaction freely and reflect the evacuation of the evacuation process accurately. Also the reliability of the system simulation result is verified by compared with the results of actual certification trial.


Author(s):  
A. Slysarenko

The article considers the MMC (Machinery Maintenance Connect) equipment maintenance system, factors that affect the key competence, the ability to regularly audit vessels and the time before the audit of vessels, the analysis of the company's risks associated with the possibility of cyber security threats against the resources of the IT information network, the possibility of implementing and using modern technologies in achieving modern cyber security and safe business operations of the Commission, the constant protection of critical it infrastructure. establishing a specific AI system, the human-machine interaction (ergatic system) and machine-machine (machine-to-Machine, M2M) and their interdependence with the corresponding application schemes, careful attention to the study of these interactions. The influence of factors on the change and their display in different types of work efficiency, risk management DNV GL of the AI system was studied.


2021 ◽  
Vol 8 ◽  
Author(s):  
Franz A. Van-Horenbeke ◽  
Angelika Peer

Recognizing the actions, plans, and goals of a person in an unconstrained environment is a key feature that future robotic systems will need in order to achieve a natural human-machine interaction. Indeed, we humans are constantly understanding and predicting the actions and goals of others, which allows us to interact in intuitive and safe ways. While action and plan recognition are tasks that humans perform naturally and with little effort, they are still an unresolved problem from the point of view of artificial intelligence. The immense variety of possible actions and plans that may be encountered in an unconstrained environment makes current approaches be far from human-like performance. In addition, while very different types of algorithms have been proposed to tackle the problem of activity, plan, and goal (intention) recognition, these tend to focus in only one part of the problem (e.g., action recognition), and techniques that address the problem as a whole have been not so thoroughly explored. This review is meant to provide a general view of the problem of activity, plan, and goal recognition as a whole. It presents a description of the problem, both from the human perspective and from the computational perspective, and proposes a classification of the main types of approaches that have been proposed to address it (logic-based, classical machine learning, deep learning, and brain-inspired), together with a description and comparison of the classes. This general view of the problem can help on the identification of research gaps, and may also provide inspiration for the development of new approaches that address the problem in a unified way.


Author(s):  
Igor Bisio ◽  
Alessandro Delfino ◽  
Fabio Lavagetto ◽  
Mario Marchese

Human-machine interaction is performed by devices such as the keyboard, the touch-screen, or speech-to-text applications. For example, a speech-to-text application is software that allows the device to translate the spoken words into text. These tools translate explicit messages but ignore implicit messages, such as the emotional status of the speaker, filtering out a portion of information available in the interaction process. This chapter focuses on emotion detection. An emotion-aware device can also interact more personally with its owner and react appropriately according to the user’s mood, making the user-machine interaction less stressful. The chapter gives the guidelines for building emotion-aware smartphone applications in an opportunistic way (i.e., without the user’s collaboration). In general, smartphone applications might be employed in different contexts; therefore, the to-be-detected emotions might be different.


Author(s):  
Olga Lemzyakova

Refraction of the eye means its ability to bend (refract) light in its own optical system. In a normal state, which is called emmetropia, light rays passing through the optical system of the eye focus on the retina, from where the impulse is transmitted to the visual cortex of the brain and is analyzed there. A person sees equally well both in the distance and near in this situation. However, very often, refractive errors develop as a result of various types of influences. Myopia, or short-sightedness, occurs when the light rays are focused in front of the retina as a result of passing through the optical system of the eye. In this case, a person will clearly distinguish close objects and have difficulties in seeing distant objects. On the opposite side is development of farsightedness (hypermetropia), in which the focusing of light rays occurs behind the retina — such a person sees distant objects clearly, but outlines of closer objects are out of focus. Near vision impairment in old age is a natural process called presbyopia, it develops due to the lens thickening. Both myopia and hypermetropia can have different degrees of severity. The variant, when different refractive errors are observed in different eyes, is called anisometropia. In the same case, if different types of refraction are observed in the same eye, it is astigmatism, and most often it is a congenital pathology. Almost all of the above mentioned refractive errors require correction with spectacles or use of contact lenses. Recently, people are increasingly resorting to the methods of surgical vision correction.


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