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Rehearsal Reality: Exploring the Visualization of Experts’ Mental Rehearsals from a First-Person Perspective to Support the Motor Learning of Novices

Rehearsal Reality: Exploring the Visualization of Experts’ ...

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2025 CHI Conference on human Factors in Computing Systems, CHI EA 2025

作者： Suzuki, Yuto Sakamoto, Daisuke Ono, Tetsuo Human-Computer Interaction Lab. Hokkaido University Sapporo Japan Division of Computer Science and Information Technology Hokkaido University Sapporo Japan

ISBN: (纸本)9798400713958

Understanding the cognitive aspects of motor learning is crucial for novices to enhance learning and performance. One approach is mental rehearsal—"the cognitive rehearsal of a task prior to performance"—which pre-activates neural pathways and fosters deeper cognitive understanding. Although highly efficient, mental rehearsal can be challenging for novices, who often struggle to form vivid imagery of unfamiliar skills. We propose a concept of rehearsal reality, an XR-based application that overlays the mental rehearsals of experts onto real practice environment. We developed rehearsal reality for golf putting based on expert golfers’ pre-putt mental imagery and conducted a qualitative study with 36 novice participants to understand novices’ subjective learning experiences. The results suggest that visualizing the mental rehearsals of experts can enhance the motor skills and external cognitive understanding of novices in golf putting. This finding can guide the potential of the mental rehearsals of experts as visual cues for motor learning. © 2025 Copyright held by the owner/author(s).

关键词： Visualization

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Generating a General Culturing Microorganism Pattern Using a Delta Parallel Robot and Cam-in-Hand Calibration Method 11

Generating a General Culturing Microorganism Pattern Using a...

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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Pasiar, Navid Mohammadi, Arvin Ahangar, Sajjad Khomami, Navid Asadi Masouleh, Mehdi Tale University of Tehran Human and Robot Interaction Lab. Department of Mechanical Eng. Tehran Iran University of Tehran Human and Robot Interaction Lab. Tehran Iran University of Tehran Human and Robot Interaction Lab. School of Electrical and Computer Eng. Tehran Iran

ISBN: (纸本)9798350308105

Robots can play a vital role in lab.ratory tasks, especially in culturing microorganisms. Currently, many of these operations are performed manually, which leads to biased and irreproducible results. This paper explores a calibration method for minimizing errors of a performing two certain lab.ratory tasks of swabbing and pipetting. This leads to enhanced accuracy and productivity. This research intends to culture microorganisms in a petri-dish in a specific pattern, measuring the coordinates of each object in the output image so the object location in the real world can be calculated. This research investigates the Cam-in-Hand method for a Delta Parallel Robot, meaning that the camera is mounted on the End-Effector. In this approach, a method of translating image coordinates into real-world coordinates is introduced. It is essential to provide an additional coordinate (in this case $z -$value) before the conversion, given that the camera outputs a 2D image. A vector-based image, in SVG format, as input to the algorithm generates a set of coordinates which determines the main points for swabbing or pipetting operation. Using this data, an array of coordinates is linearly interpolated in 3D space for the swabbing operation. Conversely, the trajectory generated for pipetting uses the 4-5-6-7 interpolating polynomial. The robot then adheres to following the interpolated array of coordinates as a function of time, using a PID controller. The pipetting device is built with a 3D printer using PLA materials. The calibration is done in different heights. The Camin-Hand method leads to ±1 cm precision as a result. Minimum, maximum, and mean errors are 0.092,1.61 and 0.76 respectively for the central point. © 2023 IEEE.

关键词： Calibration

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Robotic Sorting of Mechanical and Electrical Parts: An Autonomous Vision-Based Approach in a Practical Case Study 10

Robotic Sorting of Mechanical and Electrical Parts: An Auton...

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10th International Conference on Control, Instrumentation and Automation, ICCIA 2024

作者： Yousefi, Mohammad Dalvand, Mahdi Khomami, Navid Asadi Masouleh, Mehdi Tale Yazdi, Mohammad Reza Haeri University of Tehran Human and Robot Interaction Lab. School of Mechanical Engineering Tehran Iran University of Tehran Human and Robot Interaction Lab. School of Electrical and Computer Engineering Tehran Iran University of Tehran School of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798331509972

In today's industrial landscape, automation has become increasingly vital, particularly in the deployment of robots for tasks such as sorting machine components. The use of robotic systems enhances process accuracy and speed, resulting in significant cost reductions and improved productivity compared to manual lab.r. This paper aims to design and develop an automated sorting system for various types of mechanical and electrical parts, utilizing image processing and machine vision algorithms with a Delta parallel robot equipped with a two-finger gripper. The target mechanical and electrical parts in this study are screws, nuts, metal washers, rubber washers, retaining rings, rectangular keys, wall plugs, resistors, potentiometers, capacitors, batteries, ICs, and LEDs. The YOLOv3 algorithm and Adaptive Thresholding method are employed to detect and distinguish objects from the background, and size measurement is achieved with the help of a custom marker with known dimensions. In this study, transfer learning based on pre-Trained weights of YOLOv3 for the COCO dataset is applied. The proposed system attains a final mean Average Precision (mAP@0.5) value exceeding 0.95 for part detection using YOLOv3. Additionally, it demonstrates an overall pick-And-place success rate exceeding 90%. © 2024 IEEE.

关键词： Grippers

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ExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison

ExplainitAI: When do we trust artificial intelligence? The i...

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2025 CHI Conference on human Factors in Computing Systems, CHI EA 2025

作者： Kang, Sora Potinteu, Andreea-Elena Said, Nadia Human-Computer Interaction+Design Lab. Seoul National University Seoul Korea Republic of Perception and Action Lab. Leibniz-Institut für Wissensmedien Tübingen Germany Department of Psychology University of Tübingen Tübingen Germany

ISBN: (纸本)9798400713958

This study investigates cross-cultural differences in the perception of AI-driven chatbots between Germany and South Korea, focusing on topic dependency and explainability. Using a custom AI chat interface, ExplainitAI, we systematically examined these factors with quota-based samples from both countries (N = 297). Our findings revealed significant cultural distinctions: Korean participants exhibited higher trust, more positive user experience ratings, and more favorable perception of AI compared to German participants. Additionally, topic dependency was a key factor, with participants reporting lower trust in AI when addressing societally debated topics (e.g., migration) versus health or entertainment topics. These perceptions were further influenced by interactions among cultural context, content domains, and explainability conditions. The result highlights the importance of integrating cultural and contextual nuances into the design of AI systems, offering actionable insights for the development of culturally adaptive and explainable AI tailored to diverse user needs and expectations across domains. © 2025 Copyright held by the owner/author(s).

关键词： Adaptive AI Systems AI-Driven Chatbots Cross-Cultural Study Explainable AI Societal Implications Topic Sensitivity Trust in AI

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Investigating the Effects of Real-time Student Monitoring Interface on Instructors’ Monitoring Practices in Online Teaching 24

Investigating the Effects of Real-time Student Monitoring In...

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Proceedings of the CHI Conference on human Factors in Computing Systems

作者： Ha Yeon Lee Seora Park Esther Hehsun Kim Jiyeon Seo Hajin Lim Joonhwan Lee Human-Computer Interaction+Design Lab. Seoul National University Korea Republic of Human-Computer Interaction+Design Lab Seoul National University Korea Republic of

ISBN: (纸本)9798400703300

The shift to online education, accelerated by the COVID-19 pandemic, has introduced challenges in monitoring student engagement, an essential aspect of effective teaching. In response, real-time student monitoring interfaces have emerged as potential tools to aid instructors, yet their efficacy has not been thoroughly examined. Addressing this gap, we conducted a controlled experiment with 20 instructors examining the impact of engagement cues (presence versus absence) and student engagement levels (high versus low) on instructors’ monitoring effectiveness, teaching behavior adjustments, and cognitive load in online classes. Our findings underscored the fundamental benefits of student engagement monitoring interfaces for improving monitoring quality and effectiveness. Furthermore, our study highlighted the critical need for customizable interfaces that could balance the informational utility of engagement cues with the associated cognitive load and psychological stress on instructors. These insights may offer design implications for the design of future student engagement monitoring interfaces.

关键词： Real-time student monitoring system monitoring online learning online teaching student engagement

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Dense 3D Gaussian Splatting Initialization for Sparse Image Data

Dense 3D Gaussian Splatting Initialization for Sparse Image ...

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45th Annual Conference on European Association for computer Graphics, EUROGRAPHICS 2024

作者： Seibt, S. Chang, T. von Rymon Lipinski, B. Latoschik, M.E. Game Tech Lab. Faculty of Computer Science Nuremberg Institute of Technology Nuremberg Germany Human-Computer Interaction Group Institute of Computer Science University of Wuerzburg Wuerzburg Germany

ISBN: (纸本)9783038682394

This paper presents advancements in novel-view synthesis with 3D Gaussian Splatting (3DGS) using a dense and accurate SfM point cloud initialization approach. We address the challenge of achieving photorealistic renderings from sparse image data, where basic 3DGS training may result in suboptimal convergence, thus leading to visual artifacts. The proposed method enhances precision and density of initially reconstructed point clouds by refining 3D positions and extrapolating additional points, even for difficult image regions, e.g. with repeating patterns and suboptimal visual coverage. Our contributions focus on improving "Dense Feature Matching for Structure-from-Motion" (DFM4SfM) based on a homographic decomposition of the image space to support 3DGS training: First, a grid-based feature detection method is introduced for DFM4SfM to ensure a well-distributed 3D Gaussian initialization uniformly over all depth planes. Second, the SfM feature matching is complemented by a geometric plausibility check, priming the homography estimation and thereby improving the initial placement of 3D Gaussians. Experimental results on the NeRF-LLFF dataset demonstrate that this approach achieves superior qualitative and quantitative results, even for fewer views, and the potential for a significantly accelerated 3DGS training with faster convergence. © 2024 The Authors.

关键词： Gaussian distribution

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GestureSock: Exploring toe gestures as alternative input method

GestureSock: Exploring toe gestures as alternative input met...

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2025 CHI Conference on human Factors in Computing Systems, CHI EA 2025

作者： van Rheden, Vincent Abewickrema, Sasindu Mueller, Florian Elvitigala, Don Samitha Human Computer Interaction Division University of Salzburg Salzburg Austria Exertion Games Lab. Monash University Melbourne Australia Exertion Games Lab. Department of Human-Centred Computing Monash University MelbourneVIC Australia Department of Human Centred Computing Faculty of Information Technology Monash University Melbourne Australia

ISBN: (纸本)9798400713958

In everyday life we often find ourselves with both hands occupied, e.g. while holding a child in one hand and a dog leash in the other or riding a bicycle. These situations limit our ability to interact with our devices, leading to HCI investigating "hands-free" interactions such as voice commands. However, they are limited in noise environments and certain social situations. A recent lab.study using a motion capture system has shown that toe movements might be a useful way of interacting. In this work we advance this research by exploring toe interactions through integrating pressure sensors in a sock. We address practical issues of implementation and applicability of an interactive sock capable of capturing toe interactions. We show that combining pressure with movement sensing can increase the interaction possibilities, allowing for a broad interaction vocabulary. © 2025 Copyright held by the owner/author(s).

关键词： Augmented Foot Foot interaction Gestures Touchless Interfaces

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Personalization Trade-offs in designing a Dialogue-based Information System for Support-Seeking of Sexual Violence Survivors 22

Personalization Trade-offs in Designing a Dialogue-based Inf...

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2022 CHI Conference on human Factors in Computing Systems, CHI 2022

作者： Kim, Hyeok Hwang, Youjin Lee, Jieun Kwon, Youngjin Park, Yujin Lee, Joonhwan Computer Science Northwestern University EvanstonIL United States Human-Computer Interaction+Design Lab. Seoul National University Seoul Korea Republic of

ISBN: (纸本)9781450391573

The lack of reliable, personalized information often complicates sexual violence survivors' support-seeking. Recently, there is an emerging approach to conversational information systems for support-seeking of sexual violence survivors, featuring personalization with wide availab.lity and anonymity. However, a single best solution might not exist as sexual violence survivors have different needs and purposes in seeking support channels. To better envision conversational support-seeking systems for sexual violence survivors, we explore personalization trade-offs in designing such information systems. We implement a high-fidelity prototype dialogue-based information system through four design workshop sessions with three professional caregivers and interviewed with four self-identified survivors using our prototype. We then identify two forms of personalization trade-offs for conversational support-seeking systems: (1) specificity and sensitivity in understanding users and (2) relevancy and inclusiveness in providing information. To handle these trade-offs, we propose a reversed approach that starts from designing information and inclusive tailoring that considers unspecified needs, respectively. © 2022 ACM.

关键词： Information systems

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Toward a Healthier Social Media Experience: designing 'Inspiration' and 'Reality' Modes to Enhance Digital Well-Being for Generation Z

arXiv

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arXiv 2025年

作者： Kang, Sora Human-Computer Interaction + Design Lab Seoul National University Seoul Korea Republic of

This study presents a dual-mode interface design concept for social media platforms aimed at reducing social comparison in health-related content among Korean MZ (Millennials and Gen-Z) users. The proposed "Inspiration" and "Reality" modes allow users to toggle between curated, idealized posts and more realistic, candid content. This approach aims to alleviate negative psychological effects, such as decreased self-esteem and body dissatisfaction. The pre-study outlines the design framework and discusses potential implications for user satisfaction, perceived authenticity, and mental well-being. © 2025, CC BY-SA.

关键词： Tweets

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GastroConcerto: Towards designing Auditory Dining System to Enrich Chefs’ Culinary Practices

GastroConcerto: Towards Designing Auditory Dining System to ...

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2025 CHI Conference on human Factors in Computing Systems, CHI EA 2025

作者： Wang, Hongyue Deng, Jialin Kong, Dehui Fang, Ziqi Luo, Hong Pasumarthy, Nandini Patibanda, Rakesh Abewickrema, Sasindu Fang, Xiao Zoe Elvitigala, Don Samitha Mueller, Florian Exertion Games Lab. Department of Human-Centred Computing Monash University MelbourneVIC Australia Diverse-ability Interaction Lab. School of Computer Science Bristol United Kingdom Karlsruhe Institute of Technology Karlsruhe Germany Imperial College London London United Kingdom Exertion Games Lab. Department of Human-Centred Computing Monash University Melbourne Australia College of Computer Science Zhejiang University Zhejiang Hangzhou China

ISBN: (纸本)9798400713958

Sound plays a crucial role in shaping diners’ perceptions and enhancing the dining experience. Recognizing this, designers have started to integrate auditory elements into interactive interfaces that connect diners with food. However, how chefs incorporate sound into their culinary practices remains underexplored. To bridge this gap, we introduced GastroConcerto, an auditory dining system that allows chefs to link specific sounds with ingredients, enabling the creation of unique sonic dishes. Our ultimate goal is to enrich chefs’ creative repertoire through novel auditory interactions. © 2025 Copyright held by the owner/author(s).

关键词： auditory interface chefs’ culinary practices human-food interaction

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