All

Papers

Browse and search HCI research papers from All

Active Filters

Author: 6125

12 results

PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch

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, especially for those experiencing cognitive challenges such as dementia. This paper introduces PrISM-Observer, a smartwatch-based, context-…

Riku Arakawa et al.Carnegie Mellon University

Coaching Copilot: Blended Form of an LLM-Powered Chatbot and a Human Coach to Effectively Support Self-Reflection for Leadership Growth

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 consistent responses have been demonstrated in contexts such as healthcare and tutoring to help one form a new habit, their utilization in coach…

Riku Arakawa et al.Carnegie Mellon University

PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty

A user often needs training and guidance while performing several daily life procedures, e.g., cooking, setting up a new appliance, or doing a COVID test. Watch-based human activity recognition (HAR) can track users' actions during these procedures. However, out of the box, state-of-the-art HAR struggles from noisy da…

Riku Arakawa et al.Carnegie Mellon University

CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models

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 to resume their tasks by generating a continuation of their work and presenting it as an intervention that is more context-aware than conv…

Riku Arakawa et al.Carnegie Mellon University

AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Now

BeParrot: Efficient Interface for Transcribing Unclear Speech via Respeaking

Transcribing speech from audio files to text is an important task not only for exploring the audio content in text form but also for utilizing the transcribed data as a source to train speech models, e.g., automated speech recognition (ASR) models. A post-correction approach has been frequently employed to reduce the…

Riku Arakawa et al.Carnegie Mellon University

VocabEncounter: NMT-powered Vocabulary Learning by Presenting Computer-Generated Usages of Foreign Words into Users' Daily Lives

We demonstrate that recent natural language processing (NLP) techniques introduce a new paradigm of vocabulary learning that benefits from both micro and usage-based learning by generating and presenting the usages of foreign words based on the learner's context. Then, without allocating dedicated time for studying, t…

Riku Arakawa et al.Carnegie Mellon University

Reaction or Speculation: Building Computational Support for Users in Catching-Up Series Based on an Emerging Media Consumption Phenomenon

A growing number of people are using catch-up TV services rather than watching simultaneously with other audience members at the time of broadcast. However, computational support for such catching-up users has not been well explored. In particular, we are observing an emerging phenomenon in online media consumption ex…

Riku Arakawa et al.University of Tokyo

User Experiences

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

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 from the video would not follow an alert asking them to pay attention. Inspired by the concept of Mindless Computing, we propose a novel int…

Riku Arakawa et al.University of Tokyo

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

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 spread of COVID-19. Now, idol groups are struggling in the transition of such events to computer-mediated communication because these events ha…

Hiromu Yakura University of Tsukuba

INWARD: A Computer-Supported Tool for Video-Reflection Improves Efficiency and Effectiveness in Executive Coaching

Video-Reflection is a common approach to realize reflection in the field of executive coaching for professional development, which presents a video recording of the coaching session to a coachee in order to make the coachee reflectively think about oneself. However, it requires a great deal of time to watch the full l…

Riku Arakawa et al.University of Tokyo

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

Executive coaching has been drawing more and more attention for developing corporate managers. While conversing with managers, coach practitioners are also required to understand internal states of coachees through objective observations. In this paper, we present REsCUE, an automated system to aid coach practitioners…

Riku Arakawa et al.University of Tokyo

FocusMusicRecommender: A System for Recommending Music to Listen to While Working

This paper proposes FocusMusicRecommender, an automated system recommending background music to listen to while working. Recommendation systems matching user preferences have been widely researched even though research has shown that music that listeners strongly like is not suitable background music because it interf…

Hiromu Yakura et al.University of Tsukuba

Paper Title	Authors	Research Topics
PrISM-Observer: Intervention Agent to Help Users Perform Everyday Procedures Sensed using a Smartwatch 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, especially for those experiencing cognitive challenges such as dementia. This paper introduces PrISM-Observer, a smartwatch-based, context-…	RA Riku Arakawa et al.Carnegie Mellon University
Coaching Copilot: Blended Form of an LLM-Powered Chatbot and a Human Coach to Effectively Support Self-Reflection for Leadership Growth 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 consistent responses have been demonstrated in contexts such as healthcare and tutoring to help one form a new habit, their utilization in coach…	RA Riku Arakawa et al.Carnegie Mellon University
PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty A user often needs training and guidance while performing several daily life procedures, e.g., cooking, setting up a new appliance, or doing a COVID test. Watch-based human activity recognition (HAR) can track users' actions during these procedures. However, out of the box, state-of-the-art HAR struggles from noisy da…	RA Riku Arakawa et al.Carnegie Mellon University
CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models 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 to resume their tasks by generating a continuation of their work and presenting it as an intervention that is more context-aware than conv…	RA Riku Arakawa et al.Carnegie Mellon University
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
BeParrot: Efficient Interface for Transcribing Unclear Speech via Respeaking Transcribing speech from audio files to text is an important task not only for exploring the audio content in text form but also for utilizing the transcribed data as a source to train speech models, e.g., automated speech recognition (ASR) models. A post-correction approach has been frequently employed to reduce the…	RA Riku Arakawa et al.Carnegie Mellon University
VocabEncounter: NMT-powered Vocabulary Learning by Presenting Computer-Generated Usages of Foreign Words into Users' Daily Lives We demonstrate that recent natural language processing (NLP) techniques introduce a new paradigm of vocabulary learning that benefits from both micro and usage-based learning by generating and presenting the usages of foreign words based on the learner's context. Then, without allocating dedicated time for studying, t…	RA Riku Arakawa et al.Carnegie Mellon University
Reaction or Speculation: Building Computational Support for Users in Catching-Up Series Based on an Emerging Media Consumption Phenomenon A growing number of people are using catch-up TV services rather than watching simultaneously with other audience members at the time of broadcast. However, computational support for such catching-up users has not been well explored. In particular, we are observing an emerging phenomenon in online media consumption ex…	RA Riku Arakawa et al.University of Tokyo	User Experiences
emoji_events Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation 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 from the video would not follow an alert asking them to pay attention. Inspired by the concept of Mindless Computing, we propose a novel int…	RA Riku Arakawa et al.University of Tokyo
No More Handshaking: How have COVID-19 pushed the expansion of computer-mediated communication in Japanese idol culture? 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 spread of COVID-19. Now, idol groups are struggling in the transition of such events to computer-mediated communication because these events ha…	HY Hiromu Yakura University of Tsukuba
INWARD: A Computer-Supported Tool for Video-Reflection Improves Efficiency and Effectiveness in Executive Coaching Video-Reflection is a common approach to realize reflection in the field of executive coaching for professional development, which presents a video recording of the coaching session to a coachee in order to make the coachee reflectively think about oneself. However, it requires a great deal of time to watch the full l…	RA Riku Arakawa et al.University of Tokyo
REsCUE: A framework for REal-time feedback on behavioral CUEs using multimodal anomaly detection Executive coaching has been drawing more and more attention for developing corporate managers. While conversing with managers, coach practitioners are also required to understand internal states of coachees through objective observations. In this paper, we present REsCUE, an automated system to aid coach practitioners…	RA Riku Arakawa et al.University of Tokyo
FocusMusicRecommender: A System for Recommending Music to Listen to While Working This paper proposes FocusMusicRecommender, an automated system recommending background music to listen to while working. Recommendation systems matching user preferences have been widely researched even though research has shown that music that listeners strongly like is not suitable background music because it interf…	HY Hiromu Yakura et al.University of Tsukuba