AIMC Topic: Motivation
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Robots can motivate children to practice piano.
Science robotics
Jan 24, 2024
Children who practiced piano with a robot that initiated self-assessment showed increased motivation and improved performance.
Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care.
JAMA network open
Dec 1, 2023
IMPORTANCE: Limited sharing of data sets that accurately represent disease and patient diversity limits the generalizability of artificial intelligence (AI) algorithms in health care.
Robotization of Industrial Processes: Motivational Differences between Companies with and without Existing Robotic Processes.
IISE transactions on occupational ergonomics and human factors
Nov 11, 2023
OCCUPATIONAL APPLICATIONSOur survey of 100 manufacturing facilities revealed statistically significant differences among company types in their perceptions of cost savings, productivity gains, and safety improvements as benefits of robotic implementa...
The Role of integrating AI and VR in fostering environmental awareness and enhancing activism among college students.
The Science of the total environment
Nov 2, 2023
Given the increasing concern about the destructive impact of sympathetic activities on the Earth, involving the next generation in environmental conservation is crucial. Therefore, this study aims to explore how artificial intelligence (AI) and virtu...
A multi-stage group decision making approach for sustainable supplier selection based on probabilistic linguistic time-ordered incentive operator.
PloS one
Oct 31, 2023
This study proposes a novel multi-stage multi-attribute group decision making method under a probabilistic linguistic environment considering the development state and trend of alternatives. First, the probabilistic linguistic term set (PLTS) is used...
Zero time waste in pre-trained early exit neural networks.
Neural networks : the official journal of the International Neural Network Society
Oct 9, 2023
The problem of reducing processing time of large deep learning models is a fundamental challenge in many real-world applications. Early exit methods strive towards this goal by attaching additional Internal Classifiers (ICs) to intermediate layers of...
Perceptual discrimination in the face perception of robots is attenuated compared to humans.
Scientific reports
Oct 4, 2023
When interacting with groups of robots, we tend to perceive them as a homogenous group where all group members have similar capabilities. This overgeneralization of capabilities is potentially due to a lack of perceptual experience with robots or a l...
The role of corporate social responsibility and government incentives in installing industrial wastewater treatment plants: SEM-ANN deep learning approach.
Scientific reports
Oct 2, 2023
Contaminated industrial wastewater is one of the severe causes of health diseases. The wastewater treatment trend in developing countries is less, and governments are not strictly pursuing the wastewater management protocols adopted by firms. To stud...
Forming We-intentions under breakdown situations in human-robot interactions.
Computer methods and programs in biomedicine
Sep 20, 2023
BACKGROUND AND OBJECTIVE: When agents (e.g. a person and a social robot) perform a joint activity to achieve a joint goal, they require sharing a relevant group intention, which has been defined as a We-intention. In forming We-intentions, breakdown ...
Peripheral blood MicroRNAs as biomarkers of schizophrenia: expectations from a meta-analysis that combines deep learning methods.
The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
Sep 13, 2023
OBJECTIVES: This study aimed at identifying reliable differentially expressed miRNAs (DEMs) for schizophrenia in blood meta-analyses combined with deep learning methods.
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