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

You might also read

Related Articles

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

Sort by
Same author

Multi-Head Attention-Based Framework with Residual Network for Human Action Recognition.

Sensors (Basel, Switzerland)·2025
Same author

Mobile Robot Navigation with Enhanced 2D Mapping and Multi-Sensor Fusion.

Sensors (Basel, Switzerland)·2025
Same author

RELAY: Robotic EyeLink AnalYsis of the EyeLink 1000 Using an Artificial Eye.

Vision (Basel, Switzerland)·2025
Same author

Automated Electrodermal Activity and Facial Expression Analysis for Continuous Pain Intensity Monitoring on the X-ITE Pain Database.

Life (Basel, Switzerland)·2023
Same author

Data Fusion for Cross-Domain Real-Time Object Detection on the Edge.

Sensors (Basel, Switzerland)·2023
Same author

Telepresence for surgical assistance and training using eXtended reality during and after pandemic periods.

Journal of telemedicine and telecare·2023

Related Experiment Video

Updated: Jul 27, 2025

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.1K

Assessing the Value of Multimodal Interfaces: A Study on Human-Machine Interaction in Weld Inspection Workstations.

Paul Chojecki1, Dominykas Strazdas2, David Przewozny1

  • 1Fraunhofer HHI, 10587 Berlin, Germany.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
Summary
This summary is machine-generated.

Developing multimodal user interfaces is valuable for complex systems. Combining multiple input modalities, like spatial interaction and speech commands, offers superior user satisfaction compared to single interfaces.

Keywords:
human–machine interactionhuman–robot interactionmultimodal interfacespatial computing

More Related Videos

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.3K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.3K

Related Experiment Videos

Last Updated: Jul 27, 2025

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.1K
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.3K
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.3K

Area of Science:

  • Human-Computer Interaction
  • Industrial Engineering
  • Usability Studies

Background:

  • Multimodal user interfaces enhance natural human-machine interaction.
  • The development effort for multisensor systems requires justification.
  • Assessing user satisfaction with single versus multiple input modalities is crucial.

Purpose of the Study:

  • To investigate the effectiveness and user preference of unimodal versus multimodal interfaces in an industrial setting.
  • To determine if complex multisensor systems are justified over simpler, single-modality interfaces.
  • To evaluate user interactions with spatial and speech-based input methods.

Main Methods:

  • Comparison of three unimodal interfaces (spatial interaction with augmented buttons on workpiece/worktable, speech commands) tested individually.
  • Evaluation of a multimodal combination of these input technologies.
  • User testing within an industrial weld inspection workstation environment.

Main Results:

  • Users preferred the augmented worktable interface in unimodal conditions.
  • The multimodal combination, utilizing all input technologies, received the highest overall ranking for interindividual usage.
  • Individual input modality usability for complex systems is challenging to predict.

Conclusions:

  • Implementing multiple input modalities in user interfaces is beneficial for complex systems.
  • Multimodal interfaces can lead to higher user satisfaction and efficiency.
  • The value of multisensor systems is confirmed, despite development complexity.