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

Stereotype Content Model02:16

Stereotype Content Model

14.9K
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...
14.9K
Strategies of Self-Presentation II: Self-Verification01:17

Strategies of Self-Presentation II: Self-Verification

7
Self-verification is a fundamental psychological drive wherein individuals seek affirmation of their self-concept from others, striving for consistency between their internal self-view and external perceptions. This drive operates even when the self-concept is negative, influencing interpersonal behavior and feedback preferences in complex and often counterintuitive ways. Unlike the self-enhancement motive, which seeks positive evaluations, self-verification prioritizes coherence and...
7
Control Systems01:10

Control Systems

1.4K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.4K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

4
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
4
Strategies of Self-Presentation I: Strategic Self-Presentation01:12

Strategies of Self-Presentation I: Strategic Self-Presentation

6
Strategic self-presentation refers to individuals' intentional efforts to influence how others perceive them. This process is employed in various social and professional settings, such as job interviews, dating, politics, and legal contexts, where individuals seek to shape impressions to gain social or material advantages. While people generally present themselves in ways that align with their authentic characteristics, external factors, such as cognitive load, can hinder their ability to...
6
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.4K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.4K

You might also read

Related Articles

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

Sort by
Same author

GenAI as complete cognitive automation for untrained users at population scale: implications for human factors and ergonomics.

Ergonomics·2026
Same author

Investigating Transfer of Input Device Practice on Psychomotor Performance in an Aviation Selection Test.

Human factors·2025
Same author

Inclusion of Black and Latina Parents With Physical Disabilities in a Qualitative Research Study: A Peer Researcher Training Model.

International journal of qualitative methods·2025
Same author

Polite AI mitigates user susceptibility to AI hallucinations.

Ergonomics·2024
Same author

Predictive Validity of the Whole Child Assessment in a Generally Healthy Pediatric Cohort.

Journal of primary care & community health·2023
Same author

Nature and measurement of attention control.

Journal of experimental psychology. General·2023

Related Experiment Video

Updated: Sep 22, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K

Enhancing component-specific trust with consumer automated systems through humanness design.

Jeremy Lopez1, Heather Watkins1, Richard Pak1

  • 1Department of Psychology, Clemson University, Clemson, SC, USA.

Ergonomics
|May 18, 2022
PubMed
Summary

Humanness design methods can enhance trust in multi-component consumer automation systems. Increasing the number of voice assistants improved component-specific trust when one component became unreliable.

Keywords:
Human-machine systemshuman-automation interactionhumannesstrust in automation

More Related Videos

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.5K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.2K

Related Experiment Videos

Last Updated: Sep 22, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

8.0K
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.5K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.2K

Area of Science:

  • Human-computer interaction
  • Consumer automation systems
  • Trust in automation

Background:

  • Consumer automation systems often comprise multiple interacting components.
  • Understanding how users develop trust in these complex systems is crucial for effective design.
  • Humanness design methods offer potential for influencing user trust.

Purpose of the Study:

  • To investigate the efficacy of humanness design methods in promoting component-specific trust (CST) in multi-component automation.
  • To examine how the number of simulated voice assistants affects trust and behavior in a smart home context.
  • To assess the impact of component unreliability on user trust and system interaction.

Main Methods:

  • 82 participants interacted with a simulated smart home system with either one or four voice assistants.
  • System components were reliable initially, then one became unreliable (60% reliability).
  • Subjective (trust, self-confidence) and behavioral (use, manual override) measures were collected.

Main Results:

  • In the single-assistant condition, component unreliability affected trust in all components.
  • In the four-assistant condition, trust decreased only for the unreliable component.
  • System use decreased across conditions when a component became unreliable, but agent number did not influence this.

Conclusions:

  • Humanness design can effectively enhance component-specific trust in consumer automation.
  • The number of agents (voice assistants) influences how trust is affected by component unreliability.
  • Findings suggest tailored humanness design approaches are beneficial for complex automated systems.