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

Design Consideration01:22

Design Consideration

348
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
348
Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

130
This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
130
Design Example01:23

Design Example

389
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
389
Design Example: Designing Water Slide01:18

Design Example: Designing Water Slide

336
When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the...
336
Steps in the Modeling Process01:14

Steps in the Modeling Process

352
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
352
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

157
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
157

You might also read

Related Articles

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

Sort by
Same author

Spinal low-grade ependymal tumors harboring telomerase reverse transcriptase promoter mutation and chromosome 7 gain with methylation profile of spinal subependymoma.

Acta neuropathologica communications·2026
Same author

A Nationwide Central Diagnosis for Pediatric CNS Tumors in Japan: The JCCG Brain Tumor and Pathology Committees.

Cancer science·2026
Same author

Genomic Alteration Patterns Across Histological Grades in BRAF p.V600E-Mutant Gliomas and Glioneuronal Tumors: An Analysis of 15 Cases.

Pathology international·2026
Same author

Case Report: Somatic <i>NF2</i> mutation in a vestibular schwannoma arising in a patient with neurofibromatosis type 1.

Frontiers in oncology·2026
Same author

BEND2 Immunohistochemistry as a Useful Diagnostic Marker for Astroblastomas With BEND2 Fusion.

The American journal of surgical pathology·2026
Same author

Pazopanib for recurrent central nervous system solitary fibrous tumors: A single-institution retrospective series.

Clinical neurology and neurosurgery·2026

Related Experiment Video

Updated: Oct 3, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.2K

AI-Assisted Design Concept Exploration Through Character Space Construction.

Shin Sano1,2, Seiji Yamada1,3

  • 1Department of Informatics, School of Multidisciplinary Sciences, Graduate University for Advanced Studies (SOKENDAI), Hayama, Japan.

Frontiers in Psychology
|February 14, 2022
PubMed
Summary

The AI-assisted Character Space Construction (CSC) tool enhances design concept exploration by helping designers articulate aesthetics and semantics. This tool significantly improved task support, particularly in exploration, compared to traditional methods.

Keywords:
concept designcreativity support tools (CSTs)design aestheticshuman-computer interaction (HCI)industrial design (ID)intelligent interactive systemlexical semanticproduct semantics

More Related Videos

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.0K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

241

Related Experiment Videos

Last Updated: Oct 3, 2025

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

2.2K
Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.0K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

241

Area of Science:

  • Human-Computer Interaction
  • Artificial Intelligence in Design
  • Cognitive Science

Background:

  • Designers articulate product aesthetics and semantics using Design Concept Phrases (DCPs).
  • Dichotomy technique, using contrasting terms, is common for early-stage design communication.
  • Existing methods for exploring design concepts can be unstructured.

Purpose of the Study:

  • To introduce and evaluate the Character Space Construction (CSC) tool for AI-assisted design concept exploration.
  • To assess the impact of CSC on designers' ability to articulate and explain design concepts.
  • To measure the effectiveness of CSC in supporting the creative process.

Main Methods:

  • Development of the Character Space Construction (CSC) tool, utilizing a knowledge graph to build semantic quadrant systems (Character Spaces).
  • Experimental design comparing concept exploration with CSC assistance versus traditional web search methods.
  • Evaluation using the Creativity Support Index (CSI) with participants from the arts and design profession.

Main Results:

  • The group using the CSC tool reported significantly better task support, especially in exploration.
  • The CSC facilitated a more structured approach to defining design concepts through semantic contrast.
  • Creativity Support Index (CSI) scores were higher for the CSC-assisted group.

Conclusions:

  • The AI-assisted CSC tool effectively supports early-stage design concept exploration and articulation.
  • Structured semantic exploration using CSC enhances designers' ability to communicate complex aesthetic and semantic ideas.
  • The CSC tool shows promise for improving creative support in design processes.