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

Nonconscious Mimicry01:13

Nonconscious Mimicry

4.6K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.6K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
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...
14.7K
Social Scripts02:10

Social Scripts

9.4K
People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
9.4K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

151
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...
151
Social Proof00:52

Social Proof

27.7K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.7K
Stereotype Threat and Self-fulfilling Prophecies02:09

Stereotype Threat and Self-fulfilling Prophecies

37.6K
When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
37.6K

You might also read

Related Articles

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

Sort by
Same author

Near-Unity Selectivity Inversion Between CO<sub>2</sub> Electroreduction and H<sub>2</sub> Evolution via Atomic Coordination Editing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Wafer-scale bias-reconfigurable optoelectronic micro-synapses with integrated functions of red emission and self-powered detection.

iScience·2026
Same author

Research on a highly sensitive aptamer sensor for <i>Vibrio alginolyticus</i> based on CRISPR-Cas13a and T7 transcription cascade amplification.

Analytical methods : advancing methods and applications·2026
Same author

Increasing salinity exacerbates the bioaccumulation and toxicity of perfluorooctanoic acid (PFOA) in Manila clams (Ruditapes philippinarum).

Marine pollution bulletin·2026
Same author

Amygdala-putamen connectivity links gratitude to greater well-being.

Dialogues in clinical neuroscience·2026
Same author

Adolescent values and well-being: A large-scale two-wave longitudinal study in China.

Applied psychology. Health and well-being·2026

Related Experiment Video

Updated: Jun 29, 2025

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
08:42

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems

Published on: May 5, 2015

12.1K

Risk and prosocial behavioural cues elicit human-like response patterns from AI chatbots.

Yukun Zhao1, Zhen Huang1, Martin Seligman2

  • 1Positive Psychology Research Center, School of Social Sciences, Tsinghua University, Beijing, China.

Scientific Reports
|March 26, 2024
PubMed
Summary

Artificial intelligence (AI) chatbots, specifically advanced large language models (LLMs), show distinct response patterns to emotional cues. This suggests AI responses can be influenced by emotional indicators, though AI does not possess emotions.

More Related Videos

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

11.6K
Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
09:40

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

13.8K

Related Experiment Videos

Last Updated: Jun 29, 2025

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
08:42

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems

Published on: May 5, 2015

12.1K
Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

11.6K
Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
09:40

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

13.8K

Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Human-Computer Interaction

Background:

  • Emotions are considered a uniquely human trait, influencing decision-making and behavior.
  • The capacity for artificial intelligence (AI) to experience or simulate emotions is a subject of ongoing debate.
  • A lack of consensus on defining 'emotion' in AI hinders research.

Purpose of the Study:

  • To investigate how AI chatbots, specifically large language models (LLMs), respond to emotional priming.
  • To determine if advanced LLMs exhibit modulated decision-making in response to emotional cues.
  • To explore the feasibility of influencing AI behavior through emotional indicators.

Main Methods:

  • AI chatbots (OpenAI's ChatGPT Plus, including GPT-3.5 and GPT-4) were presented with scenarios designed to elicit positive, negative, or neutral emotional states.
  • Chatbots responded to inquiries regarding investment decisions and prosocial behaviors.
  • Response patterns were analyzed for differences based on emotional priming and model sophistication.

Main Results:

  • ChatGPT-4 demonstrated distinct response patterns in risk-taking and prosocial decisions when exposed to positive, negative, or neutral emotional primes.
  • These modulated responses were less apparent in ChatGPT-3.5 iterations.
  • The study indicates that more advanced LLMs show a greater capacity to adjust outputs based on emotional cues.

Conclusions:

  • While AI does not possess genuine emotions, its responses can be significantly influenced by emotional stimuli.
  • Advanced LLMs like GPT-4 exhibit a greater sensitivity to emotional priming compared to earlier versions.
  • These findings highlight the potential for leveraging emotional indicators to shape AI behavior and decision-making.