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

Improving Translational Accuracy02:07

Improving Translational Accuracy

2.6K
2.6K
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.6K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.6K

You might also read

Related Articles

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

Sort by
Same author

CCL5 at the tumor-bone interface: A lymphocyte-derived gatekeeper against mandibular invasion in oral squamous cell carcinoma.

Oral oncology·2026
Same author

A Comprehensive Immune Checkpoint Phenotype Predicts Response and Survival to PD-1 Blockade in Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma.

Head & neck·2026
Same author

Hyponatremia upon PICU admission: a 10-year retrospective analysis of outcomes and independent prognostic value.

BMC pediatrics·2026
Same author

Challenging the Biomimetic Promise 2.0: Negative Spillover of Bio-Inspired Versus Sustainability Framing on Public Perceptions of Bio-Inspired Technologies.

Biomimetics (Basel, Switzerland)·2026
Same author

Increased LAG-3, TIM-3, and IDO1 Expression Is Associated With Oral Squamous Cell Carcinoma in Never Smokers and Never Drinkers.

Oral diseases·2026
Same author

Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an "M2-like" macrophage phenotype.

Frontiers in immunology·2026
Same journal

System-Wide Trust (SWT) Versus Component-Specific Trust (CST) in Multi-Agent Human-Agent Teams: Individual Variability in Trust Bias.

Human factors·2026
Same journal

Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers' Trust, Monitoring, and Response.

Human factors·2026
Same journal

Modeling Human Expertise in a Sanding Task.

Human factors·2026
Same journal

Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Outcomes.

Human factors·2026
Same journal

What's in a Name? Implications of AI Roles and Mind Perception for Human-AI Teams.

Human factors·2026
Same journal

Safety Climate and Safety Behavior and Outcomes: A Comprehensive Systematic Review in Healthcare From the Perspective of Staff and Patients.

Human factors·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.2K

Improving the human-computer dialogue with increased temporal predictability.

Florian Weber1, Carola Haering, Roland Thomaschke

  • 1University of Wuerzburg, Department of Psychology, Roentgenring 11, 97070 Wuerzburg, Germany.

Human Factors
|November 14, 2013
PubMed
Summary
This summary is machine-generated.

Reducing system response time (SRT) variability in software design significantly improves user performance. This enhancement in user behavior occurs even with slightly longer average SRTs, without negatively impacting user experience (UX).

More Related Videos

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

1.2K
Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
09:53

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

131

Related Experiment Videos

Last Updated: May 6, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.2K
Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

1.2K
Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
09:53

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

131

Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology

Background:

  • System response time (SRT) is crucial in human-computer interaction, with length historically prioritized.
  • Temporal attention research indicates users adapt to and benefit from predictable timing in systems.

Purpose of the Study:

  • To investigate the impact of system response time (SRT) length and variability on user behavior and experience.
  • To determine how manipulating SRT duration and the number of different response times affects sequential task performance and user satisfaction.

Main Methods:

  • Participants completed sequential tasks using simulated office software.
  • System response time (SRT) duration and variability were manipulated, with reduced variability sometimes increasing average duration.
  • User performance metrics (response times, task execution times, failure rates) and user experience (UX) via questionnaire were collected.

Main Results:

  • Decreasing SRT variability significantly enhanced user performance, leading to faster responses.
  • Task load and failure rates remained unchanged despite changes in SRT.
  • No significant difference in user experience (UX) was observed, even when average SRTs increased due to reduced variability.

Conclusions:

  • Software design should consider SRT variability alongside length for optimal user performance.
  • Reducing variability in SRTs can improve user efficiency without compromising satisfaction or increasing perceived workload.
  • Interface design for sequential tasks can benefit from strategically adjusting SRTs to minimize variability, enhancing overall user performance.