565 citations · 896 across the 20 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…