Artificial Intelligence Adoption in Drilling Optimization: Guidelines for Successful System Configuration and User Onboarding

2021 ◽  
Author(s):  
Andrew Creegan ◽  
Michael Roberts
Keyword(s):  
Artificial Intelligence ◽  
User Acceptance ◽  
System Configuration ◽  
Process Automation ◽  
Human Element ◽  
Proper System ◽  
Drilling Optimization ◽  
Drilling System ◽  
And Performance ◽  
Correct Application

Abstract The usage of Artificial Intelligence (AI) in the arena of drilling optimization is a rapidly evolving endeavor and is becoming increasingly prevalent. In many applications the goal is process automation and optimization with the intent to reduce cost, improve yield/outcome and address risk. Real-world experience, however, has taught us that the correct application, configuration, and realtime management of an AI system is equally as important as the underlying algorithms. This paper poses that the implementation of an automated AI drilling system must consider the human element of acceptance in order to succeed. Proper onboarding and user acceptance is requisite to proper system configuration and performance. This paper sets forth guidelines that can be considered standard for initiating an AI drilling program.

Embodying algorithms, enactive artificial intelligence and the extended cognition: You can see as much as you know about algorithm

2021 ◽  
pp. 016555152098549
Author(s):  
Donghee Shin
Keyword(s):  
Artificial Intelligence ◽  
Embodied Cognition ◽  
Cognitive Processes ◽  
Process Model ◽  
Extended Cognition ◽  
Dual Process ◽  
Personalized Recommendation ◽  
Normative Values ◽  
And Performance ◽  
Concise Guide

The recent proliferation of artificial intelligence (AI) gives rise to questions on how users interact with AI services and how algorithms embody the values of users. Despite the surging popularity of AI, how users evaluate algorithms, how people perceive algorithmic decisions, and how they relate to algorithmic functions remain largely unexplored. Invoking the idea of embodied cognition, we characterize core constructs of algorithms that drive the value of embodiment and conceptualizes these factors in reference to trust by examining how they influence the user experience of personalized recommendation algorithms. The findings elucidate the embodied cognitive processes involved in reasoning algorithmic characteristics – fairness, accountability, transparency, and explainability – with regard to their fundamental linkages with trust and ensuing behaviors. Users use a dual-process model, whereby a sense of trust built on a combination of normative values and performance-related qualities of algorithms. Embodied algorithmic characteristics are significantly linked to trust and performance expectancy. Heuristic and systematic processes through embodied cognition provide a concise guide to its conceptualization of AI experiences and interaction. The identified user cognitive processes provide information on a user’s cognitive functioning and patterns of behavior as well as a basis for subsequent metacognitive processes.

scholarly journals Artificial Intelligence in Public Health Dentistry

2021 ◽  
Vol 5 (9) ◽  
pp. RV1-RV5
Author(s):  
Sahrish Tariq ◽  
Nidhi Gupta ◽  
Preety Gupta ◽  
Aditi Sharma
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Clinical Practice ◽  
Correct Diagnosis ◽  
Scientific Research ◽  
Modern Science ◽  
Appropriate Technology ◽  
Human Element ◽  
New Knowledge

The educational needs must drive the development of the appropriate technology”. They should not be viewed as toys for enthusiasts. Nevertheless, the human element must never be dismissed. Scientific research will continue to offer exciting technologies and effective treatments. For the profession and the patients, it serves to benefit fully from modern science, new knowledge and technologies must be incorporated into the mainstream of dental education. The technologies of modern science have astonished and intrigued our imagination. Correct diagnosis is the key to a successful clinical practice. In this regard, adequately trained neural networks can be a boon to diagnosticians, especially in conditions having multifactorial etiology.

scholarly journals Augmented Reality to Induce Enjoyment in Edutainment Mobile Game

2018 ◽  
Vol 2 (3-2) ◽  
pp. 188
Author(s):  
Oo Yew Beng Keat ◽  
Noorhaniza Wahid ◽  
Norhanifah Murli ◽  
Rahayu A. Hamid
Keyword(s):  
Augmented Reality ◽  
Mobile Device ◽  
Real World ◽  
User Acceptance ◽  
User Testing ◽  
Mobile Game ◽  
Teaching Aids ◽  
Puzzle Games ◽  
And Performance ◽  
3D Scene

Augmented reality (AR) is a technology that overlay the computer generated image on real world object. AR has been implemented in various fields and one of the fields is edutainment-based game. Edutainment-based game is a game designed to make the learning process become more fun. Among the edutainment gameplay genre such as tile-matching, action puzzles, traditional puzzle games, and hidden object. However, there are still a lack of edutainment gameplay that utilizes AR technology for hidden object game genre. The hidden object game in the market today does not use 3D scene as their background. Therefore, the objective of this project is to develop an AR edutainment game in 3D scene view by using hidden object puzzle genre. This edutainment game can be used as an alternative edutainment teaching aids in kindergarten and primary school. Player’s enjoyment is measured based on the evaluation of user acceptance level towards the gameplay, functionality and performance level. Results of user testing shows that 67% of the total respondents strongly agreed that this game is enjoying to be played. In addition, there are 53% of the respondents agreed that the game is stable when being played in a mobile device. Next, there are 67% of the respondents agreed that the presentation of the information and instruction are clear.

scholarly journals The Jeremiah Project: Interaction, Reaction, and Performance

2004 ◽  
Vol 48 (4) ◽  
pp. 47-57 ◽  
Author(s):  
Susan Broadhurst
Keyword(s):  
Artificial Intelligence ◽  
3D Animation ◽  
And Performance ◽  
A Performance

Part artificial intelligence, part 3D animation, Jeremiah interacts emotionally with spectators and other performers in a performance of the interface between humans and technology

Artificially Intelligent Physiotherapy

2021 ◽  
Vol 10 (1) ◽  
pp. 77-88
Author(s):  
Sachin Pandurang Godse ◽  
Shalini Singh ◽  
Sonal Khule ◽  
Shubham Chandrakant Wakhare ◽  
Vedant Yadav
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Range Of Motion ◽  
Real Time ◽  
Severe Pain ◽  
User Performance ◽  
Computer Aided ◽  
To Come ◽  
And Performance ◽  
At Home

Physiotherapy is the trending medication for curing bone-related injuries and pain. In many cases, due to sudden jerks or accidents, the patient might suffer from severe pain. Therefore, it is the miracle medication for curing patients. The aim here is to build a framework using artificial intelligence and machine learning for providing patients with a digitalized system for physiotherapy. Even though various computer-aided assessment of physiotherapy rehabilitation exist, recent approaches for computer-aided monitoring and performance lack versatility and robustness. In the authors' approach is to come up with proposition of an application which will record patient physiotherapy exercises and also provide personalized advice based on user performance for refinement of therapy. By using OpenPose Library, the system will detect angle between the joints, and depending upon the range of motion, it will guide patients in accomplishing physiotherapy at home. It will also suggest to patients different physio-exercises. With the help of OpenPose, it is possible to render patient images or real-time video.

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