AIMC Topic: Intention
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Motivating smokers to quit using computer-generated letters that target either reduction or cessation: A population-based randomized controlled trial among smokers who do not intend to quit.
Drug and alcohol dependence
Jul 15, 2016
BACKGROUND: This study examined the long-term efficacy of individualized counseling letters that targeted either smoking abstinence or reducing the number of cigarettes smoked per day to promote future cessation.
Seeing Minds in Others - Can Agents with Robotic Appearance Have Human-Like Preferences?
PloS one
Jan 8, 2016
Ascribing mental states to non-human agents has been shown to increase their likeability and lead to better joint-task performance in human-robot interaction (HRI). However, it is currently unclear what physical features non-human agents need to poss...
A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents.
Computational intelligence and neuroscience
Dec 27, 2015
Spoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's...
A connectionist model of the retreat from verb argument structure overgeneralization.
Journal of child language
Nov 16, 2015
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., The boy gave a present to the girl → The boy gave the girl a present), whilst appr...
Real-time human action classification using a dynamic neural model.
Neural networks : the official journal of the International Neural Network Society
May 8, 2015
The multiple timescale recurrent neural network (MTRNN) model is a useful tool for recording and regenerating a continuous signal for dynamic tasks. However, our research shows that the MTRNN model is difficult to use for the classification of multip...
Understanding user intents in online health forums.
IEEE journal of biomedical and health informatics
Mar 24, 2015
Online health forums provide a convenient way for patients to obtain medical information and connect with physicians and peers outside of clinical settings. However, large quantities of unstructured and diversified content generated on these forums m...
Restoration of gait for spinal cord injury patients using HAL with intention estimator for preferable swing speed.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 23, 2014
This paper proposes a novel gait intention estimator for an exoskeleton-wearer who needs gait support owing to walking impairment. The gait intention estimator not only detects the intention related to the start of the swing leg based on the behavior...
The effect of a supplementary ('Gist-based') information leaflet on colorectal cancer knowledge and screening intention: a randomized controlled trial.
Journal of behavioral medicine
Sep 25, 2014
Guided by Fuzzy Trace Theory, this study examined the impact of a 'Gist-based' leaflet on colorectal cancer screening knowledge and intentions; and tested the interaction with participants' numerical ability. Adults aged 45-59 years from four UK gene...
Factors affecting Artificial Intelligence usage intention among nursing students: Unified theory of acceptance and use of technology.
Nurse education today
Sep 1, 2025
BACKGROUND: Nursing students' acceptance and usage of AI are crucial for embracing and implementing the technology in nursing practice in the future. However, there is a lack of literature to examine the factors affecting AI usage intention among nur...
A Weight-Aware-Based Multisource Unsupervised Domain Adaptation Method for Human Motion Intention Recognition.
IEEE transactions on cybernetics
Jul 1, 2025
Accurate recognition of human motion intention (HMI) is beneficial for exoskeleton robots to improve the wearing comfort level and achieve natural human-robot interaction. A classifier trained on labeled source subjects (domains) performs poorly on u...
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