AIMC Topic: Intention

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Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System.

Sensors (Basel, Switzerland)
Successful applications of deep learning technologies in the natural language processing domain have improved text-based intent classifications. However, in practical spoken dialogue applications, the users' articulation styles and background noises ...

Effect of risk, expectancy, and trust on clinicians' intent to use an artificial intelligence system -- Blood Utilization Calculator.

Applied ergonomics
A gap exists between the capabilities of artificial intelligence (AI) technologies in healthcare and the extent to which clinicians are willing to adopt these systems. Our study addressed this gap by leveraging 'expectancy-value theory' and 'modified...

Application of Knowledge Distillation Based on Transfer Learning of ERNIE Model in Intelligent Dialogue Intention Recognition.

Sensors (Basel, Switzerland)
The 'intention' classification of a user question is an important element of a task-engine driven chatbot. The essence of a user question's intention understanding is the text classification. The transfer learning, such as BERT (Bidirectional Encoder...

The Role of Decision Authority and Stated Social Intent as Predictors of Trust in Autonomous Robots.

Topics in cognitive science
Prior research has demonstrated that trust in robots and performance of robots are two important factors that influence human-autonomy teaming. However, other factors may influence users' perceptions and use of autonomous systems, such as perceived i...

CNN Deep Learning with Wavelet Image Fusion of CCD RGB-IR and Depth-Grayscale Sensor Data for Hand Gesture Intention Recognition.

Sensors (Basel, Switzerland)
Pixel-based images captured by a charge-coupled device (CCD) with infrared (IR) LEDs around the image sensor are the well-known CCD Red-Green-Blue IR (the so-called CCD RGB-IR) data. The CCD RGB-IR data are generally acquired for video surveillance a...

Human unintentional and intentional interpersonal coordination in interaction with a humanoid robot.

PloS one
In order to establish natural social synchrony between two humans, two requirements need to be fulfilled. First, the coupling must be bi-directional. The two humans react to each other's actions. Second, natural social bodily synchronization has to b...

Mobile perceived trust mediation on the intention and adoption of FinTech innovations using mobile technology: A systematic literature review.

F1000Research
The banking and financial sectors have witnessed a significant development recently due to financial technology (FinTech), and it has become an essential part of the financial system. Many factors helped the development of this sector, including the ...

Research on the Improved CNN Deep Learning Method for Motion Intention Recognition of Dynamic Lower Limb Prosthesis.

Journal of healthcare engineering
OBJECTIVE: In order to study the motion recognition intention of lower limb prosthesis based on the CNN deep learning algorithm.

A GRU-Based Method for Predicting Intention of Aerial Targets.

Computational intelligence and neuroscience
Since a target's operational intention in air combat is realized by a series of tactical maneuvers, its state presents the characteristics of temporal and dynamic changes. Depending only on a single moment to take inference, the traditional combat in...

Impact of Factors of Online Deceptive Reviews on Customer Purchase Decision Based on Machine Learning.

Journal of healthcare engineering
Online deceptive reviews widely exist in the online shopping environment. Numerous studies have investigated the impact of online product reviews on customer behaviour and sales. However, the existing literature is mainly based on real product review...