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

Molecular Models02:00

Molecular Models

43.6K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.6K
The Bohr Model02:18

The Bohr Model

80.5K
Following the work of Ernest Rutherford and his colleagues in the early twentieth century, the picture of atoms consisting of tiny dense nuclei surrounded by lighter and even tinier electrons continually moving about the nucleus was well established. This picture was called the planetary model since it pictured the atom as a miniature “solar system” with the electrons orbiting the nucleus like planets orbiting the sun. The simplest atom is hydrogen, consisting of a single proton as the...
80.5K
Stereotype Content Model02:16

Stereotype Content Model

15.4K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.4K
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

298
Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's...
298
Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

304
Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...
304
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

7.0K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
7.0K

You might also read

Related Articles

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

Sort by
Same author

From care practices to speculative vignettes-design considerations for robots in good care.

Frontiers in robotics and AI·2024
Same author

Author Correction: Song lyrics have become simpler and more repetitive over the last five decades.

Scientific reports·2024
Same author

Song lyrics have become simpler and more repetitive over the last five decades.

Scientific reports·2024
Same author

Service robots for affective labor: a sociology of labor perspective.

AI & society·2021
Same authorSame journal

Strategic Talk in Film.

Cybernetics and systems·2018
Same author

Automatic Identification of Character Types from Film Dialogs.

Applied artificial intelligence : AAI·2017
Same journal

Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms.

Cybernetics and systems·2024
Same journal

Detection of Social Interaction in Smart Spaces.

Cybernetics and systems·2010
See all related articles

Related Experiment Video

Updated: Jan 25, 2026

Fabrication of Ultra-thin Color Films with Highly Absorbing Media Using Oblique Angle Deposition
06:30

Fabrication of Ultra-thin Color Films with Highly Absorbing Media Using Oblique Angle Deposition

Published on: August 29, 2017

8.7K

Modeling Mentor-Mentee Dialogues in Film.

Anna Dobrosovestnova1, Marcin Skowron1, Sabine Payr1

  • 1Austrian Research Institute for Artificial Intelligence, Vienna, Austria.

Cybernetics and Systems
|May 7, 2019
PubMed
Summary
This summary is machine-generated.

This study analyzes fictional mentor-mentee film dialogues to build better AI conversation agents. The research models both characters' communication for more coherent and in-character synthetic agent interactions.

Keywords:
Conversation analysisdialogue management and generationmentoring

More Related Videos

Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films
07:08

Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films

Published on: August 18, 2018

7.8K
Fabrication of Large-area Free-standing Ultrathin Polymer Films
10:08

Fabrication of Large-area Free-standing Ultrathin Polymer Films

Published on: June 3, 2015

15.9K

Related Experiment Videos

Last Updated: Jan 25, 2026

Fabrication of Ultra-thin Color Films with Highly Absorbing Media Using Oblique Angle Deposition
06:30

Fabrication of Ultra-thin Color Films with Highly Absorbing Media Using Oblique Angle Deposition

Published on: August 29, 2017

8.7K
Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films
07:08

Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films

Published on: August 18, 2018

7.8K
Fabrication of Large-area Free-standing Ultrathin Polymer Films
10:08

Fabrication of Large-area Free-standing Ultrathin Polymer Films

Published on: June 3, 2015

15.9K

Area of Science:

  • Artificial Intelligence
  • Computational Linguistics
  • Film Studies

Background:

  • Designing synthetic agents for coherent, in-character conversations requires understanding human dialogue dynamics.
  • Previous work focused on mentor strategies; this study expands to include mentee roles for a comprehensive model.

Purpose of the Study:

  • To inform the design of a synthetic agent capable of consistent, mentor-like conversations with humans.
  • To develop an extended model accounting for both mentor and mentee conversational activities.
  • To formalize joint communication actions and goals between characters.

Main Methods:

  • Data-driven analysis of verbal communication between fictional mentor and mentee characters in films.
  • Introduction of categories for intents, projects, and relationship phases to formalize communication.
  • Qualitative and quantitative analysis of an annotated corpus of character utterances.
  • Evaluation of state-of-the-art automated utterance classification approaches.

Main Results:

  • An extended model was developed, incorporating both mentor and mentee dialogue contributions.
  • Categories of intents, projects, and relationship phases were defined to analyze joint communication.
  • The annotated corpus provides a foundation for understanding and replicating in-character dialogue.

Conclusions:

  • Modeling both sides of a dialogue is crucial for creating realistic synthetic agents.
  • The developed framework and corpus support advancements in automated in-character dialogue generation.
  • This research contributes to more natural and engaging human-AI conversational experiences.