AIMC Topic: Motivation

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Novel plasticity rule can explain the development of sensorimotor intelligence.

Proceedings of the National Academy of Sciences of the United States of America
Grounding autonomous behavior in the nervous system is a fundamental challenge for neuroscience. In particular, self-organized behavioral development provides more questions than answers. Are there special functional units for curiosity, motivation, ...

Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: Assistive and robotic training devices are increasingly used for rehabilitation of the hemiparetic arm after stroke, although applications for the wrist and hand are trailing behind. Furthermore, applying a training device in domestic set...

Evaluating the User Experience of Exercising Reaching Motions With a Robot That Predicts Desired Movement Difficulty.

Journal of motor behavior
The notion of an optimal difficulty during practice has been articulated in many areas of cognitive psychology: flow theory, the challenge point framework, and desirable difficulties. Delivering exercises at a participant's desired difficulty has the...

Evaluating the usability of an interactive, bi-lingual, touchscreen-enabled breastfeeding educational programme: application of Nielson's heuristics.

Journal of innovation in health informatics
The study purpose was to conduct heuristic evaluation of an interactive, bilingual touchscreen-enabled breastfeeding educational programme for Hispanic women living in rural settings in Nebraska. Three raters conducted the evaluation during May 2013 ...

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

Journal of neurophysiology
It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields produced by a haptic robot to modulate the kinematic errors of 30 healthy adults during a period of p...

A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition.

IEEE transactions on neural networks and learning systems
This paper presents a bioinspired digital liquid-state machine (LSM) for low-power very-large-scale-integration (VLSI)-based machine learning applications. To the best of the authors' knowledge, this is the first work that employs a bioinspired spike...

Opportunistic Behavior in Motivated Learning Agents.

IEEE transactions on neural networks and learning systems
This paper focuses on the novel motivated learning (ML) scheme and opportunistic behavior of an intelligent agent. It extends previously developed ML to opportunistic behavior in a multitask situation. Our paper describes the virtual world implementa...

How does leadership AI awareness shape employee voice behavior? A study based on the framework of hindrance and challenge stressors.

Work (Reading, Mass.)
BackgroundThe rapid advancement of Artificial Intelligence (AI) is driving transformative changes across various sectors, reshaping organizational management models and altering work dynamics for employees.ObjectiveThis study employs the framework of...

Self-determination theory informed research for promoting physical activity: Contributions, debates, and future directions.

Psychology of sport and exercise
In this review we evaluate the applications of self-determination theory (SDT) research to promote motivation for physical activity (PA) and exercise. The evidence suggests that SDT-informed interventions are often effective at changing health behavi...