Results 181 to 190 of about 139,057 (305)
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Development and Validation of an Abbreviated Form of the Cognitive Style Questionnaire. [PDF]
Vargas I, Wier O, Vance AH, Haeffel GJ.
europepmc +1 more source
The Effect of Analytic Cognitive Style on Credulity. [PDF]
Ballová Mikušková E, Čavojová V.
europepmc +1 more source
This paper reports the results of a pilot study, conducted to observe and evaluate the patterns of use and completion of a set of project management units and to identify any relationships between these factors and learning style.
Taylor, Jacqui +2 more
core
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Field dependent-independent cognitive style as a predictor of malevolent creativity: a multifaceted approach. [PDF]
Zivi P +5 more
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Effect of hit rate and cognitive style on Bayesian reasoning: evidence from eye movements. [PDF]
Yin L, Shi Z, Liu M, Chen H.
europepmc +1 more source
Human-computer interaction: from classifying users to classifying users' misunderstandings
The overall objective of the research has been to address the question of how best to understand user behaviour at the interface. The use of cognitive grammars to analyse tasks and predict behaviour was rejected for seven theoretical and practical ...
Booth, Paul Andrew
core

