perception of action
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2021 ◽  
Vol 21 (9) ◽  
pp. 2076
Author(s):  
Hannah Masoner ◽  
Jonathan Doyon ◽  
Joseph Clark ◽  
Alen Hajnal ◽  
Gabor Legradi

Perception ◽  
2021 ◽  
Vol 50 (9) ◽  
pp. 783-796
Author(s):  
Lisa P. Y. Lin ◽  
Christopher J. Plack ◽  
Sally A. Linkenauger

The ability to accurately perceive the extent over which one can act is requisite for the successful execution of visually guided actions. Yet, like other outcomes of perceptual-motor experience, our perceived action boundaries are not stagnant, but in constant flux. Hence, the perceptual systems must account for variability in one’s action capabilities in order for the perceiver to determine when they are capable of successfully performing an action. Recent work has found that, after reaching with a virtual arm that varied between short and long each time they reach, individuals determined their perceived action boundaries using the most liberal reaching experience. However, these studies were conducted in virtual reality, and the perceptual systems may handle variability differently in a real-world setting. To test this hypothesis, we created a modified orthopedic elbow brace that mimics injury in the upper limb by restricting elbow extension via remote control. Participants were asked to make reachability judgments after training in which the maximum extent of their reaching ability was either unconstricted, constricted or variable over several calibration trials. Findings from the current study did not conform to those in virtual reality; participants were more conservative with their reachability estimates after experiencing variability in a real-world setting.


2020 ◽  
pp. 147737082097709
Author(s):  
Jennifer Barton-Crosby

For situational action theory (SAT), morality is key to the definition of crime and the explanation for why and how acts of crime happen: acts of crime are acts of moral rule-breaking and personal morality guides individuals’ perception of moral rule-breaking as an option before controls become relevant. However, the nature and role of morality in SAT can be misread. Within this article I respond to misinterpretations of the theory by elaborating and adding further context to the concept of morality in SAT. I contend that the root of misunderstanding is grounded in alternative assumptions regarding human nature: SAT assumes a fundamentally rule-guided human nature, whereas the prevailing view within criminology is that people are primarily self-interested. In this article I delineate SAT’s assumption of a rule-guided human nature and set out how this assumption informs the definition of crime and personal morality in the theory. I further specify the nature and role of morality in the perception of action alternatives, and in so doing distinguish SAT from theories that view constraint as the measure of morality. Finally, I develop and clarify SAT’s position on the relationship between morality and the law.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hannah J. Stewart ◽  
Jasmin L. Martinez ◽  
Audrey Perdew ◽  
C. Shawn Green ◽  
David R. Moore

2020 ◽  
Vol 73 (12) ◽  
pp. 2309-2316
Author(s):  
Natalie Snyder ◽  
Michael Cinelli

The somatosensory, vestibular, and visual systems contribute to multisensory integration, which facilitates locomotion around obstacles in the environment. The joystick-controlled virtual reality (VR) locomotion interface does not preserve congruent sensory input like real-walking, yet is commonly used in human behaviour research. Our purpose was to determine if collision avoidance behaviours were affected during an aperture crossing task when somatosensory and vestibular input were incongruent, and only vision was accurate. Participants included 36 young adults who completed a closing gap aperture crossing task in VR using real-walking and joystick-controlled locomotion. Participants successfully completed the task using both interfaces. Switch point between passable and impassable apertures was larger for joystick-controlled locomotion compared with real-walking, but time-to-contact (TTC) was lower for real-walking than joystick-controlled locomotion. Increased joystick-controlled locomotion switch point may be attributed to incongruency between visual and non-visual information, causing underestimation of distance travelled towards the aperture. Performance on future VR applications incorporating dynamically changing gaps can be considered successful using joystick-controlled locomotion, while taking into account a potential behaviour difference. Differences in TTC may be explained by the requirement of gait termination in real-walking but not in joystick-controlled locomotion. Future VR studies would benefit from programming acceleration and deceleration into joystick-controlled locomotion interfaces.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Myrthel Dogge ◽  
Ruud Custers ◽  
Surya Gayet ◽  
Herbert Hoijtink ◽  
Henk Aarts
Keyword(s):  

2018 ◽  
Vol 166 ◽  
pp. 134-146 ◽  
Author(s):  
James L. Croft ◽  
Gert-Jan Pepping ◽  
Chris Button ◽  
Jia-Yi Chow

2016 ◽  
Vol 15 (6) ◽  
pp. 158-166
Author(s):  
A.N. Korolkov ◽  
◽  
G.N. Germanov ◽  
V.G. Nikitushkin ◽  
O.I. Friesen ◽  
...  

Author(s):  
Toshika Fegade ◽  
Yogesh Kurle ◽  
Sagar Nikale ◽  
Praful Kalpund

<p>Robotics is a field concerned with the “intelligent connection of perception of action”. The most common manufacturing robot is the robotic arm with different degree of freedoms. Today, these humanoids perform many functions to assist humans in different undertakings such as space missions, driving and monitoring high speed vehicles. They are called semi-humanoids because they resemble to upper part of human body.</p><p>        The idea of this paper is to change perception of controlling robotic arm. This paper provides a way to get rid of old fashioned remote controls and gives an intuitive technique for implementation of Semi-Humanoid Gesture controlled robot. It includes two robot arms which are exactly similar to human arm (5 fingers) increasing sensitivity of the system. It includes motion sensors -flex and accelerometer (used in mobile phones for tilting motion). The system design is divided into 3 parts namely: Robotic Arm, Real time video and Platform.</p>        The prime aim of the design is that the robot arm and platform starts the movement as soon as the operator makes hand and leg gesture. The Robotic arm is synchronized with the gestures (hand postures) of the operator and the platform part is controlled by the leg gestures of the operator.  The robot and the Gesture device are connected wireless via RF. The wireless communication enables user to interact with the robot in an effortless way.


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