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

Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

717
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
717
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

29.7K
The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
29.7K
Non-Verbal Cues01:29

Non-Verbal Cues

388
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
388
Confirmation Biases01:31

Confirmation Biases

8.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
8.5K
Understanding Deception01:14

Understanding Deception

205
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
205
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

1.2K
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Value crucible for evaluating robustness of value attributed LLM response profiles via agent adversarial debates.

Scientific reports·2026
Same author

Interpersonal neural coordination tracks interaction quality during naturalistic conversation.

NeuroImage·2026
Same author

Comparing the roles of f0, speech rate, and timbre in expressing and perceiving politeness in Mandarin speech.

Phonetica·2026
Same author

On the Contextual Constraints of Counter-Expectation Marker and Its Use in Shanghai Dialect-Mandarin Bidialectals: An Experimental Investigation of papa in Shanghai Dialect.

Journal of psycholinguistic research·2026
Same author

Human and AI voice identities evoke shared neural signatures during speaker recognition across changes in speech content and prosody.

Neuropsychologia·2026
Same author

Not worth my time! Understanding factors that make speech socially engaging.

Journal of experimental psychology. Human perception and performance·2026

Related Experiment Video

Updated: Mar 3, 2026

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.1K

Neural systems for evaluating speaker (Un)believability.

Xiaoming Jiang1, Ryan Sanford2, Marc D Pell1,2

  • 1School of Communication Sciences and Disorders, McGill University, Montréal, Canada.

Human Brain Mapping
|May 3, 2017
PubMed
Summary
This summary is machine-generated.

Neural mechanisms for judging speaker believability involve frontal-temporal networks. Individual differences in trust and reactivity modulate brain activity during these social inferences from voice confidence.

Keywords:
cerebellumfeeling of (un)knowingfunctional connectivitysocial inferencetrustworthiness

More Related Videos

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

933
A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

36.1K

Related Experiment Videos

Last Updated: Mar 3, 2026

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.1K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

933
A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

36.1K

Area of Science:

  • Neuroscience
  • Social Psychology
  • Cognitive Science

Background:

  • Vocal confidence influences perceived speaker believability.
  • Neural underpinnings of evaluating vocal believability remain largely unexplored.

Purpose of the Study:

  • Investigate brain networks and individual differences in judging speaker believability from vocal cues.
  • Identify neural correlates of processing vocal confidence and its relation to perceived trustworthiness.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to scan participants (n=26).
  • Participants rated the believability of statements delivered in confident, unconfident, or neutral voices.
  • Psychophysiological interaction (PPI) analysis examined functional connectivity.

Main Results:

  • Distinct frontal-temporal networks activated based on vocal confidence levels (left frontal for confident, right temporal for unconfident, cerebellum for neutral).
  • Higher believability judgments correlated with right superior parietal lobule (SPL) activation; lower believability with left posterior central gyrus (PoCG) activation.
  • Functional connectivity patterns differed: anterior cingulate cortex/caudate with right SPL for high believability, supplementary motor area with left PoCG for low believability.

Conclusions:

  • Specific brain regions and networks are involved in inferring speaker believability from vocal confidence.
  • Individual characteristics, such as interpersonal reactivity and trust tendencies, significantly modulate these neural processes.
  • This study elucidates the neural basis of social judgments derived from vocal cues and their individual variability.