activity
20182021
most citedMindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation

26 citations · 56 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics

Hiromu Yakura, Yuki Koyama, Masataka Goto

Current deep learning techniques for style transfer would not be optimal for design support since their "one-shot" transfer does not fit exploratory design processes. To overcome t…

cs.HC202126 cited

Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation

Riku Arakawa, Hiromu Yakura

Explicitly alerting users is not always an optimal intervention, especially when they are not motivated to obey. For example, in video-based learning, learners who are distracted f…

cs.HC202110 cited

No More Handshaking: How have COVID-19 pushed the expansion of computer-mediated communication in Japanese idol culture?

Hiromu Yakura

In Japanese idol culture, meet-and-greet events where fans were allowed to handshake with an idol member for several seconds were regarded as its essential component until the spre…

cs.LG2019

Generate (non-software) Bugs to Fool Classifiers

Hiromu Yakura, Youhei Akimoto, Jun Sakuma

In adversarial attacks intended to confound deep learning models, most studies have focused on limiting the magnitude of the modification so that humans do not notice the attack. O…

cs.HC201920 cited

REsCUE: A framework for REal-time feedback on behavioral CUEs using multimodal anomaly detection

Riku Arakawa, Hiromu Yakura

Executive coaching has been drawing more and more attention for developing corporate managers. While conversing with managers, coach practitioners are also required to understand i…

cs.LG2018

Robust Audio Adversarial Example for a Physical Attack

Hiromu Yakura, Jun Sakuma

We propose a method to generate audio adversarial examples that can attack a state-of-the-art speech recognition model in the physical world. Previous work assumes that generated a…