Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.1K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.1K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
Decision Making01:20

Decision Making

401
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
401
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.6K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.6K
Reason and Intuition01:37

Reason and Intuition

7.1K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.1K
Machines: Problem Solving I01:22

Machines: Problem Solving I

518
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
518

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Investigating Students' Satisfaction with Online Collaborative Learning During the COVID-19 Period: An Expectation-Confirmation Model.

Group decision and negotiation·2023
Same journal

A Combined Weighting Based Large Scale Group Decision Making Framework for MOOC Group Recommendation.

Group decision and negotiation·2023
Same journal

Editorial.

Group decision and negotiation·2023
Same journal

Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL.

Group decision and negotiation·2023
Same journal

Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing.

Group decision and negotiation·2023
Same journal

Applying the AHP to Conflict Resolution: A Russia-NATO Case Study.

Group decision and negotiation·2022

Related Experiment Video

Updated: Nov 8, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.7K

Using Artificial Intelligence to provide Intelligent Dispute Resolution Support.

John Zeleznikow1

  • 1Law School, Latrobe University, Bundoora, VIC 3086 Australia.

Group Decision and Negotiation
|April 19, 2021
PubMed
Summary
This summary is machine-generated.

This review explores Artificial Intelligence for intelligent Online Dispute Resolution (ODR). It proposes a user-centric model integrating multiple tools for effective AI-driven dispute resolution.

Keywords:
Artificial IntelligenceMediationNegotiationOnline Dispute Resolution

Related Experiment Videos

Last Updated: Nov 8, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.7K

Area of Science:

  • Computer Science
  • Law
  • Artificial Intelligence

Background:

  • Early AI systems for dispute resolution were technology-focused, not user-centric.
  • Limited systematic development characterized early AI in dispute resolution.

Purpose of the Study:

  • To review historic AI systems for dispute resolution.
  • To identify key components of intelligent Online Dispute Resolution (ODR) systems.
  • To develop a user-centric model for AI-driven ODR.

Main Methods:

  • Literature review of historic AI dispute resolution systems.
  • Analysis of essential components for intelligent ODR.
  • Development of an integrated model for user-centric ODR.

Main Results:

  • Identified key components for intelligent ODR systems.
  • Proposed a model integrating Case Management, Triaging, Advisory, Communication, Decision Support, and Drafting tools.
  • Highlighted the potential of hybrid ODR systems.

Conclusions:

  • A user-centric model is crucial for effective AI in ODR.
  • Hybrid ODR systems offer a significant starting point for AI integration.
  • Future AI development should prioritize user needs in dispute resolution.