565 citations · 896 across the 20 of their papers we have counts for
23 papers
Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear
Levin Brinkmann, Hiromu Yakura, Sonia Nicoletti +9
What happens when AI machines express fear? Do humans engage differently depending on how they express it? And what does it take to design for affective human-AI interaction? We pr…
Time Machine Experiments: Using Historically-Bounded AI for Inquiry into the Human Mind
Hiromu Yakura, Robin Schimmelpfennig, Ezequiel Lopez-Lopez +5
Can interacting with someone from 1930, with no knowledge of what happened after, influence a person's perception of the past? People reason about the present against a picture of…
Human diversity fuels collective creativity that large language models cannot simulate or sustain
Mengchen Dong, Hiromu Yakura
Diverse human groups produce diverse ideas, the raw material of innovation. Generative AI challenges this engine twice over: everyday AI assistance may homogenize what diverse peop…
Cultural Alien Sampler: Open-ended art generation balancing originality and coherence
Alejandro H. Artiles, Hiromu Yakura, Levin Brinkmann +6
In open-ended domains like art, autonomous agents must generate ideas that are both original and internally coherent, yet current Large Language Models (LLMs) either default to fam…
The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems
Prateek Gupta, Qiankun Zhong, Hiromu Yakura +2
A growing body of multi-agent studies with LLMs explores how norms and cooperation emerge in mixed-motive scenarios, where pursuing individual gain can undermine the collective goo…
Recognising, Anticipating, and Mitigating LLM Pollution of Online Behavioural Research
Raluca Rilla, Tobias Werner, Hiromu Yakura +2
Online behavioural research faces an emerging threat as participants increasingly turn to large language models (LLMs) for advice, translation, or task delegation: LLM Pollution. W…
Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art
Alejandro Hernandez, Levin Brinkmann, Ignacio Serna +6
While AI models have demonstrated remarkable capabilities in constrained domains like game strategy, their potential for genuine creativity in open-ended domains like art remains d…
Empirical evidence of Large Language Model's influence on human spoken communication
Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann +7
From the printing press to social media, innovations in communication technology have repeatedly reshaped how ideas spread through human culture. Chatbots powered by generative art…
PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch
Riku Arakawa, Hiromu Yakura, Mayank Goel
We routinely perform procedures (such as cooking) that include a set of atomic steps. Often, inadvertent omission or misordering of a single step can lead to serious consequences,…
Coaching Copilot: Blended Form of an LLM-Powered Chatbot and a Human Coach to Effectively Support Self-Reflection for Leadership Growth
Riku Arakawa, Hiromu Yakura
Chatbots' role in fostering self-reflection is now widely recognized, especially in inducing users' behavior change. While the benefits of 24/7 availability, scalability, and consi…
Evaluating Large Language Models' Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios
Hiromu Yakura
Metaphors and sarcasm are precious fruits of our highly evolved social communication skills. However, children with the condition then known as Asperger syndrome are known to have…
IteraTTA: An interface for exploring both text prompts and audio priors in generating music with text-to-audio models
Hiromu Yakura, Masataka Goto
Recent text-to-audio generation techniques have the potential to allow novice users to freely generate music audio. Even if they do not have musical knowledge, such as about chord…
CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models
Riku Arakawa, Hiromu Yakura, Masataka Goto
CatAlyst uses generative models to help workers' progress by influencing their task engagement instead of directly contributing to their task outputs. It prompts distracted workers…
SLOPT: Bandit Optimization Framework for Mutation-Based Fuzzing
Yuki Koike, Hiroyuki Katsura, Hiromu Yakura +1
Mutation-based fuzzing has become one of the most common vulnerability discovery solutions over the last decade. Fuzzing can be optimized when targeting specific programs, and give…
Human-AI communication for human-human communication: Applying interpretable unsupervised anomaly detection to executive coaching
Riku Arakawa, Hiromu Yakura
In this paper, we discuss the potential of applying unsupervised anomaly detection in constructing AI-based interactive systems that deal with highly contextual situations, i.e., h…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
AI for human assessment: What do professional assessors need?
Riku Arakawa, Hiromu Yakura
Recent organizations have started to adopt AI-based decision support tools to optimize human resource development practices, while facing various challenges of using AIs in highly…
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…
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…
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…
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…
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…
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…