Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ayumu Kawahara

dblp:316/6051 · DBLP profile ↗
← Back
2ranked-venue papers
2as first author
2since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Haptics and multimodal interaction · 57% Human-robot interaction · 26% Human-AI interaction · 17%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic feedback
tactile feedback
1.122022
Enhanced Facial Expressions of Avatars by Internal Movable Weights · HRI 2022
A Virtual Agent That is Equipped With Internal Movable Weights for Enhanced Credibility · HRI 2022
Human-robot interaction
trust in robots
0.322022
Enhanced Facial Expressions of Avatars by Internal Movable Weights · HRI 2022
A Virtual Agent That is Equipped With Internal Movable Weights for Enhanced Credibility · HRI 2022
Human-AI interaction
virtual agents
0.322022
Enhanced Facial Expressions of Avatars by Internal Movable Weights · HRI 2022
A Virtual Agent That is Equipped With Internal Movable Weights for Enhanced Credibility · HRI 2022
Human-robot interaction › nonverbal communication
facial expression
0.212022
Enhanced Facial Expressions of Avatars by Internal Movable Weights · HRI 2022

Methods — techniques the papers use, named apart from their topics

pilot study · 1.1
YearPublicationVenuePosition
2022 A Virtual Agent That is Equipped With Internal Movable Weights for Enhanced Credibility
abstract
When interacting with humans, virtual agents use both visual and auditory information. We developed a device that can present the facial expressions of a virtual agent together with providing tactile information from the movement of internal weights. Using this device, we conducted a pilot test to investigate how the trustworthiness of the virtual agent changed when the haptic information from the movement of the internal weights was added to the expression of the virtual agent.
Ayumu Kawahara, Yohei Noguchi 0001, Fumihide Tanaka
HRI1
2022 Enhanced Facial Expressions of Avatars by Internal Movable Weights
abstract
When recognizing the facial expressions of avatars or virtual agents, visual information is used. We developed a device that can move internal weights according to facial expressions of a virtual agent on a screen. The device allowed the user to perceive the facial expressions with visual and tactile information. We conducted a pilot test, and the results suggested that moving the internal weights in accordance with the facial expressions enhanced the credibility of the virtual agent. We also created a future scenario where the device will be used.
Ayumu Kawahara
HRI1