Implications of artificial intelligence for end user use of online systems

Online Review ◽  
1980 ◽  
Vol 4 (4) ◽  
pp. 383-391 ◽  
Author(s):  
Linda C. Smith
Keyword(s):  
Artificial Intelligence ◽  
End User ◽  
Online Systems

scholarly journals Artificial Intelligence-Driven Autonomous Robot for Precision Agriculture

2021 ◽  
Vol 24 (1) ◽  
pp. 48-54
Author(s):  
Ivan Beloev ◽  
Diyana Kinaneva ◽  
Georgi Georgiev ◽  
Georgi Hristov ◽  
Plamen Zahariev
Keyword(s):  
Artificial Intelligence ◽  
Precision Agriculture ◽  
Communication Systems ◽  
Robotic Systems ◽  
Small Scale ◽  
Construction Process ◽  
End User ◽  
Agricultural Robots ◽  
Agricultural Enterprises ◽  
Human Labour

AbstractIn the recent years, robotic systems became more advanced and more accessible. This has led to their slow, but stable integration and use in different processes and applications, including in the agricultural domain. Nowadays, agricultural robots are developed with the aim to replace the human labour in the otherwise exhausting, time-consuming or dangerous activities. Agricultural robotic systems provide many advantages, which can differ based on the type of the robot and its sensors, actuators and communication systems. This paper presents the design, the construction process, the main characteristics and the evaluation of a prototype of a small-scale agricultural robot that can be used for some of the simplest activities in agricultural enterprises. The robot is designed as an end-user autonomous mobile system, which is capable of self-localization and can map or inspect a specific farming area. The decision-making capabilities of the robot are based on artificial intelligence (AI) algorithms, which allow it to perform specific actions in accordance to the situation and the surrounding environment. The presented prototype is in its early development and evaluation stages and the paper concludes with discussions on the possible further improvements of the platform.

Mechanix: A natural sketch interface tool for teaching truss analysis and free-body diagrams

2014 ◽  
Vol 28 (2) ◽  
pp. 169-192 ◽  
Author(s):  
Olufunmilola Atilola ◽  
Stephanie Valentine ◽  
Hong-Hoe Kim ◽  
David Turner ◽  
Erin McTigue ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Engineering Students ◽  
Online Courses ◽  
Teaching Method ◽  
Tutoring Systems ◽  
Online Systems ◽  
Constructive Feedback ◽  
Domain Specific ◽  
Free Body Diagram ◽  
Free Body

AbstractMassive open online courses, online tutoring systems, and other computer homework systems are rapidly changing engineering education by providing increased student feedback and capitalizing upon online systems' scalability. While online homework systems provide great benefits, a growing concern among engineering educators is that students are losing both the critical art of sketching and the ability to take a real system and reduce it to an accurate but simplified free-body diagram (FBD). For example, some online systems allow the drag and drop of forces onto FBDs, but they do not allow the user to sketch the FBDs, which is a vital part of the learning process. In this paper, we discuss Mechanix, a sketch recognition tool that provides an efficient means for engineering students to learn how to draw truss FBDs and solve truss problems. The system allows students to sketch FBDs into a tablet computer or by using a mouse and a standard computer monitor. Using artificial intelligence, Mechanix can determine not only the component shapes and features of the diagram but also the relationships between those shapes and features. Because Mechanix is domain specific, it can use those relationships to determine not only whether a student's work is correct but also why it is incorrect. Mechanix is then able to provide immediate, constructive feedback to students without providing final answers. Within this manuscript, we document the inner workings of Mechanix, including the artificial intelligence behind the scenes, and present studies of the effects on student learning. The evaluations have shown that Mechanix is as effective as paper-and-pencil-based homework for teaching method of joints truss analysis; focus groups with students who used the program have revealed that they believe Mechanix enhances their learning and that they are highly engaged while using it.

scholarly journals Sign Translation Via Natural Language Processing

2021 ◽  
pp. 1-7
Author(s):  
Shadman A. Khan ◽  
Zulfikar Ali Ansari ◽  
Riya Singh ◽  
Mohit Singh Rawat ◽  
Fiza Zafar Khan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
User Interface ◽  
Sign Language ◽  
Language Processing ◽  
New Technologies ◽  
End User ◽  
User Input ◽  
Sign Recognition ◽  
Voice User ◽  
The Voice

Artificial Intelligence (AI) technologies are new technologies with new complicated features emerging quickly. Technology adoption has been beneficial for many general models. The models help in train the voice user-interface assistance (Alexa, Cortona, Siri). Voice assistants are easy to use, and thus millions of devices incorporate them in households nowadays. The primary purpose of the sign language translator prototype is to reduce interaction barriers between deaf and mute. To overcome this problem, we have proposed a prototype. It is named sign language translator with Sign Recognition Intelligence which takes the user input in sign language and processes it, and returns the output in voice out load to the end-user.

scholarly journals Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics

2021 ◽  
Vol 4 ◽  
Author(s):  
Janan Arslan ◽  
Kurt K. Benke
Keyword(s):  
Artificial Intelligence ◽  
Early Warning ◽  
Data Science ◽  
Medical Systems ◽  
Online Systems ◽  
National Medical ◽  
Internet Users ◽  
Containment Measures ◽  
Online Sources ◽  
Online Queries

The COVID-19 pandemic produced a very sudden and serious impact on public health around the world, greatly adding to the burden of overloaded professionals and national medical systems. Recent medical research has demonstrated the value of using online systems to predict emerging spatial distributions of transmittable diseases. Concerned internet users often resort to online sources in an effort to explain their medical symptoms. This raises the prospect that incidence of COVID-19 may be tracked online by search queries and social media posts analyzed by advanced methods in data science, such as Artificial Intelligence. Online queries can provide early warning of an impending epidemic, which is valuable information needed to support planning timely interventions. Identification of the location of clusters geographically helps to support containment measures by providing information for decision-making and modeling.

scholarly journals Interpreting Health Events in Big Data Using Qualitative Traditions

2020 ◽  
Vol 19 ◽  
pp. 160940692097645
Author(s):  
Roschelle L. Fritz ◽  
Gordana Dermody
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agent ◽  
Ground Truth ◽  
Clinical Knowledge ◽  
Restless Leg Syndrome ◽  
End User ◽  
Health Events ◽  
Methodological Research ◽  
Qualitative Descriptive ◽  
Smart Health

The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the participant’s description of their experience with an episode of Restless Leg Syndrome for training the intelligent agent. We make the case for clinicians with qualitative research expertise to be included at the design table to ensure optimal efficacy of smart health artificial intelligence and a positive end-user experience.

scholarly journals Towards an Explainer-agnostic Conversational XAI

2021 ◽  
Author(s):  
Navid Nobani ◽  
Fabio Mercorio ◽  
Mario Mezzanzanica
Keyword(s):  
Artificial Intelligence ◽  
Black Box ◽  
The Other ◽  
Human Being ◽  
End User ◽  
Other Hand ◽  
Explainable Artificial Intelligence ◽  
Overall Performance

Explainable Artificial Intelligence (XAI) is gaining interests in both academia and industry, mainly thanks to the proliferation of darker more complex black-box solutions which are replacing their more transparent ancestors. Believing that the overall performance of an XAI system can be augmented by considering the end-user as a human being, we are studying the ways we can improve the explanations by making them more informative and easier to use from one hand, and interactive and customisable from the other hand.

scholarly journals Using IoT Innovation and Efficiency in Agriculture Monitoring System

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Muhammad Awais ◽  
Wei Li ◽  
Muhammad Ajmal ◽  
Muhammad Faheem
Keyword(s):  
Artificial Intelligence ◽  
Soil Moisture ◽  
Irrigation System ◽  
End User ◽  
Scientific Methods ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Small Fields ◽  
Graphic Elements ◽  
Electronic Messaging

Agriculture is undoubtedly a leading field for livelihoods in China. As the population increases, it is necessary to increase agricultural productivity. By capturing the support and the increment in production on farms, the need for freshwater used for irrigation increases too. Presently, agriculture accounts for 80% of overall water uptake in China. Unexpected overflow of water carelessly leads to waste of water. Therefore we created a programmed plant irrigation system with Arduino that mechanically supplies water to the plants and keeps it updated by transferring the message to user. Plant irrigation system employs the soil moisture sensor which controls a degree of moisture in the soil. If the humidity degree is lower, Arduino activates a pump of water to supply water to the system. The pump of water stops by design when the organism detects sufficient moisture in the ground. Each time the system is switched off or on, an electronic messaging is conveyed to the end-user through the IoT unit, informing the position of the soil moisture and the pump of water. A spray motor and the pump of water are grounded on the crane concept. Widely, this system is applicable for in small fields, gardens farms, etc. This design is entirely programmed and needed no human involvement. Furthermore, transmission of the sensor readings send through a Thing speak frequency to produce graphic elements for better inquiry. This study gathers the ideas of IoT (Internet of Things) with some engineering tools like machinery, artificial intelligence and use of sensors in an efficient way to respond current needs and extraction of resources by availing scientific methods and procedures that work on inputs. Moreover, this study further defines the engineering works that have been part of this field, but it requires more efficiency and reduction of energy as well as costs by adding more contribution of IoT in the field of agriculture engineering

Knowledge-Based Personalization

2011 ◽  
pp. 26-33
Author(s):  
Tamara Babaian
Keyword(s):  
Artificial Intelligence ◽  
Automated Reasoning ◽  
Personal Information ◽  
End User ◽  
Collaborative System ◽  
Knowledge Based ◽  
Planning Framework ◽  
Novel Method ◽  
Precise Time ◽  
The Way

We present a novel method for software personalization. Personalization is understood broadly as a set of mechanisms by which an application is tailored to a particular end user and his or her task. The presented method outlined here is motivated by and remedies a few widely recognized problems in the way customization is carried out. The proposed method has been used in a collaborative system called Writer’s Aid. It relies on a declarative specification of preconditions and effects of system’s actions and applies artificial intelligence, automated reasoning, and planning framework and techniques to dynamically recognize the lack or availability of the personal information at the precise time when it affects a system action and initiates an interaction with the user aimed at eliciting this information in case it has not yet been specified.

Sign in / Sign up

Export Citation Format

Share Document