Tootfinder

Observing Interaction Rather Than Interfaces
Guillaume Rivi\`ere
https://arxiv.org/abs/2510.06156 https://arxiv.org/pdf/2510.06156

Observing Interaction Rather Than Interfaces
The science of Human-Computer Interaction (HCI) is populated by isolated empirical findings, often tied to specific technologies, designs, and tasks. This situation probably lies in observing the wrong object of study, that is to say, observing interfaces rather than interaction. This paper proposes an experimental methodology, powered by a research methodology, that enables tackling the ambition of observing interaction (rather than interfaces). These observations are done during the treatment…

Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction
Djamel Eddine Boukhari
https://arxiv.org/abs/2509.05078 https://…

Scale-interaction transformer: a hybrid cnn-transformer model for facial beauty prediction
Automated Facial Beauty Prediction (FBP) is a challenging computer vision task due to the complex interplay of local and global facial features that influence human perception. While Convolutional Neural Networks (CNNs) excel at feature extraction, they often process information at a fixed scale, potentially overlooking the critical inter-dependencies between features at different levels of granularity. To address this limitation, we introduce the Scale-Interaction Transformer (SIT), a novel hy…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- A risk model and analysis method for the psychological safety of human and autonomous vehicles in...
Sirgabsou, Hardin, Leblanc, Raili, Salvini, Jackson, Jirotka, Kunze

Towards Responsible Evaluation for Text-to-Speech
Yifan Yang, Hui Wang, Bing Han, Shujie Liu, Jinyu Li, Yong Qin, Xie Chen
https://arxiv.org/abs/2510.06927 https://

Towards Responsible Evaluation for Text-to-Speech
Recent advances in text-to-speech (TTS) technology have enabled systems to produce human-indistinguishable speech, bringing benefits across accessibility, content creation, and human-computer interaction. However, current evaluation practices are increasingly inadequate for capturing the full range of capabilities, limitations, and societal implications. This position paper introduces the concept of Responsible Evaluation and argues that it is essential and urgent for the next phase of TTS deve…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- SciDaSynth: Interactive Structured Data Extraction from Scientific Literature with Large Language...
Xingbo Wang, Samantha L. Huey, Rui Sheng, Saurabh Mehta, Fei Wang

Machine Unlearning in Speech Emotion Recognition via Forget Set Alone
Zhao Ren, Rathi Adarshi Rammohan, Kevin Scheck, Tanja Schultz
https://arxiv.org/abs/2510.04251 https://

Machine Unlearning in Speech Emotion Recognition via Forget Set Alone
Speech emotion recognition aims to identify emotional states from speech signals and has been widely applied in human-computer interaction, education, healthcare, and many other fields. However, since speech data contain rich sensitive information, partial data can be required to be deleted by speakers due to privacy concerns. Current machine unlearning approaches largely depend on data beyond the samples to be forgotten. However, this reliance poses challenges when data redistribution is restr…

Semantic Differentiation in Speech Emotion Recognition: Insights from Descriptive and Expressive Speech Roles
Rongchen Guo, Vincent Francoeur, Isar Nejadgholi, Sylvain Gagnon, Miodrag Bolic
https://arxiv.org/abs/2510.03060

Semantic Differentiation in Speech Emotion Recognition: Insights from Descriptive and Expressive Speech Roles
Speech Emotion Recognition (SER) is essential for improving human-computer interaction, yet its accuracy remains constrained by the complexity of emotional nuances in speech. In this study, we distinguish between descriptive semantics, which represents the contextual content of speech, and expressive semantics, which reflects the speaker's emotional state. After watching emotionally charged movie segments, we recorded audio clips of participants describing their experiences, along with the inte…

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Combine Virtual Reality and Machine-Learning to Identify the Presence of Dyslexia: A Cross-Lingui...
Materazzini, Morciano, Alcalde-Llergo, Yeguas-Bolivar, Calabro, Zingoni, Taborri

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- VILOD: A Visual Interactive Labeling Tool for Object Detection
Isac Holm
https:/…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[2/2]:
- Advancing Brainwave Modeling with a Codebook-Based Foundation Model
Barmpas, Lee, Panagakis, Adamos, Laskaris, Zafeiriou

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Understanding User Perception and Intention to Use Smart Homes for Energy Efficiency: A Survey
Alona Zharova, Hee-Eun Lee

InsideOut: An EfficientNetV2-S Based Deep Learning Framework for Robust Multi-Class Facial Emotion Recognition
Ahsan Farabi, Israt Khandaker, Ibrahim Khalil Shanto, Md Abdul Ahad Minhaz, Tanisha Zaman
https://arxiv.org/abs/2510.03066

InsideOut: An EfficientNetV2-S Based Deep Learning Framework for Robust Multi-Class Facial Emotion Recognition
Facial Emotion Recognition (FER) is a key task in affective computing, enabling applications in human-computer interaction, e-learning, healthcare, and safety systems. Despite advances in deep learning, FER remains challenging due to occlusions, illumination and pose variations, subtle intra-class differences, and dataset imbalance that hinders recognition of minority emotions. We present InsideOut, a reproducible FER framework built on EfficientNetV2-S with transfer learning, strong data augme…

👾 Unsupervised Instance Segmentation with Superpixels
#cs #arxiv

Unsupervised Instance Segmentation with Superpixels
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect. For this reason, we present a new framework that efficiently and effectively segments objects without the need for human annotations. Firstly, a MultiCut algorithm is applied to self-sup…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Exploring the Potential of Conversational AI Support for Agent-Based Social Simulation Model Design
Peer-Olaf Siebers

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
Mingjin Li, Yu Liu, Huayi Liu, Xiang Ye, Chao Jiang, Hongguang Zhang

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
Mattia Samory, Diana Pamfile, Andrew To, Shruti Phadke

DA-Mamba: Dialogue-aware selective state-space model for multimodal engagement estimation
Shenwei Kang, Xin Zhang, Wen Liu, Bin Li, Yujie Liu, Bo Gao
https://arxiv.org/abs/2509.17711

DA-Mamba: Dialogue-aware selective state-space model for multimodal engagement estimation
Human engagement estimation in conversational scenarios is essential for applications such as adaptive tutoring, remote healthcare assessment, and socially aware human--computer interaction. Engagement is a dynamic, multimodal signal conveyed by facial expressions, speech, gestures, and behavioral cues over time. In this work we introduce DA-Mamba, a dialogue-aware multimodal architecture that replaces attention-heavy dialogue encoders with Mamba-based selective state-space processing to achiev…

[2025-09-08 Mon (UTC), 8 new articles found for cs.HC Human-Computer Interaction]
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[2025-10-08 Wed (UTC), 12 new articles found for cs.HC Human-Computer Interaction]
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Using Petri Nets for Context-Adaptive Robot Explanations
G\"orkem K{\i}l{\i}n\c{c} Soylu (Department of Computer Science and Informatics, School of Engineering, J\"onk\"oping University, J\"onk\"oping, Sweden), Neziha Akalin (Department of Computer Science and Informatics, School of Engineering, J\"onk\"oping University, J\"onk\"oping, Sweden), Maria Riveiro (Department of Computer Science and Informatics, School of Engineering, J\"onk\…

Using Petri Nets for Context-Adaptive Robot Explanations
In human-robot interaction, robots must communicate in a natural and transparent manner to foster trust, which requires adapting their communication to the context. In this paper, we propose using Petri nets (PNs) to model contextual information for adaptive robot explanations. PNs provide a formal, graphical method for representing concurrent actions, causal dependencies, and system states, making them suitable for analyzing dynamic interactions between humans and robots. We demonstrate this a…

[2025-10-09 Thu (UTC), 25 new articles found for cs.HC Human-Computer Interaction]
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ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition
Ali Abouzeid, Bilal Elbouardi, Mohamed Maged, Shady Shehata
https://arxiv.org/abs/2509.01401

ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition
Speech emotion recognition is vital for human-computer interaction, particularly for low-resource languages like Arabic, which face challenges due to limited data and research. We introduce ArabEmoNet, a lightweight architecture designed to overcome these limitations and deliver state-of-the-art performance. Unlike previous systems relying on discrete MFCC features and 1D convolutions, which miss nuanced spectro-temporal patterns, ArabEmoNet uses Mel spectrograms processed through 2D convolutio…

Wrist2Finger: Sensing Fingertip Force for Force-Aware Hand Interaction with a Ring-Watch Wearable
Yingjing Xiao (East China Normal University, Shanghai, China), Zhichao Huang (East China Normal University, Shanghai, China), Junbin Ren (East China Normal University, Shanghai, China), Haichuan Song (East China Normal University, Shanghai, China), Yang Gao (East China Normal University, Shanghai, China), Yuting Bai (South China University of Technology, Guangzhou, China), Zhanpeng Jin (So…

Wrist2Finger: Sensing Fingertip Force for Force-Aware Hand Interaction with a Ring-Watch Wearable
Hand pose tracking is essential for advancing applications in human-computer interaction. Current approaches, such as vision-based systems and wearable devices, face limitations in portability, usability, and practicality. We present a novel wearable system that reconstructs 3D hand pose and estimates per-finger forces using a minimal ring-watch sensor setup. A ring worn on the finger integrates an inertial measurement unit (IMU) to capture finger motion, while a smartwatch-based single-channel…

SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, JingBo Zhu
https://arxiv.org/abs/2508.20916

SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
Speech-to-Speech (S2S) Large Language Models (LLMs) are foundational to natural human-computer interaction, enabling end-to-end spoken dialogue systems. However, evaluating these models remains a fundamental challenge. We propose \texttt{SageLM}, an end-to-end, multi-aspect, and explainable speech LLM for comprehensive S2S LLMs evaluation. First, unlike cascaded approaches that disregard acoustic features, SageLM jointly assesses both semantic and acoustic dimensions. Second, it leverages ratio…

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano
Vivek Vellaiyappan Surulimuthu, Aditya Karnam Gururaj Rao

EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
Junzhe Wang, Jiarui Xie, Pengfei Hao, Zheng Li, Yi Cai
https://arxiv.org/abs/2509.20656 https://

EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
Reliable brain-computer interface (BCI) control of robots provides an intuitive and accessible means of human-robot interaction, particularly valuable for individuals with motor impairments. However, existing BCI-Robot systems face major limitations: electroencephalography (EEG) signals are noisy and unstable, target selection is often predefined and inflexible, and most studies remain restricted to simulation without closed-loop validation. These issues hinder real-world deployment in assistiv…

ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
Hanyu Lai, Xiao Liu, Yanxiao Zhao, Han Xu, Hanchen Zhang, Bohao Jing, Yanyu Ren, Shuntian Yao, Yuxiao Dong, Jie Tang
https://arxiv.org/abs/2508.14040

ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
We introduce ComputerRL, a framework for autonomous desktop intelligence that enables agents to operate complex digital workspaces skillfully. ComputerRL features the API-GUI paradigm, which unifies programmatic API calls and direct GUI interaction to address the inherent mismatch between machine agents and human-centric desktop environments. Scaling end-to-end RL training is crucial for improvement and generalization across diverse desktop tasks, yet remains challenging due to environmental in…

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
Yaniv Goren, Yuval Cohen, Alexander Apartsin, Yehudit Aperstein
https://arxiv.org/abs/2509.03181

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
In the realm of human-computer interaction, fostering a natural dialogue between humans and machines is paramount. A key, often overlooked, component of this dialogue is the use of interjections such as "mmm" and "hmm". Despite their frequent use to express agreement, hesitation, or requests for information, these interjections are typically dismissed as "non-words" by Automatic Speech Recognition (ASR) engines. Addressing this gap, we introduce a novel task dedicated to interjection classifica…

[2025-10-07 Tue (UTC), 19 new articles found for cs.HC Human-Computer Interaction]
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GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations
Ryan Anthony Jalova de Belen, Gelareh Mohammadi, Arcot Sowmya
https://arxiv.org/abs/2508.12966 https://…

GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations
Gaze communication plays a crucial role in daily social interactions. Quantifying this behavior can help in human-computer interaction and digital phenotyping. While end-to-end models exist for gaze target detection, they only utilize a single decoder to simultaneously localize human heads and predict their corresponding gaze (e.g., 2D points or heatmap) in a scene. This multitask learning approach generates a unified and entangled representation for human head localization and gaze location pr…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Reading.help: Supporting EFL Readers with Proactive and On-Demand Explanation of English Grammar ...
Sunghyo Chung, Hyeon Jeon, Sungbok Shin, Md Naimul Hoque

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- ERUPT: An Open Toolkit for Interfacing with Robot Motion Planners in Extended Reality
Ngui, McBeth, Santos, He, Mimnaugh, Motes, Soares, Morales, Amato

Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
Feng-Qi Cui, Jinyang Huang, Anyang Tong, Ziyu Jia, Jie Zhang, Zhi Liu, Dan Guo, Jianwei Lu, Meng Wang
https://arxiv.org/abs/2509.21261

Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
Micro-action Recognition is vital for psychological assessment and human-computer interaction. However, existing methods often fail in real-world scenarios because inter-person variability causes the same action to manifest differently, hindering robust generalization. To address this, we propose the Person Independence Universal Micro-action Recognition Framework, which integrates Distributionally Robust Optimization principles to learn person-agnostic representations. Our framework contains t…

[2025-10-06 Mon (UTC), 8 new articles found for cs.HC Human-Computer Interaction]
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Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Towards softerware: Enabling personalization of interactive data representations for users with d...
Frank Elavsky, Marita Vindedal, Ted Gies, Patrick Carrington, Dominik Moritz, {\O}ystein Moseng

Structuring GUI Elements through Vision Language Models: Towards Action Space Generation
Yi Xu, Yesheng Zhang, jiajia Liu, Jingdong Chen
https://arxiv.org/abs/2508.16271 https:/…

Structuring GUI Elements through Vision Language Models: Towards Action Space Generation
Multimodal large language models (MLLMs) have emerged as pivotal tools in enhancing human-computer interaction. In this paper we focus on the application of MLLMs in the field of graphical user interface (GUI) elements structuring, where they assist in processing user instructions based on screen contents. Despite the promise of MLLMs, their performance in precisely generating UI element coordinates, a critical aspect of GUI understanding, is hindered by the nature of next-token prediction trai…

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- PG-Agent: An Agent Powered by Page Graph
Weizhi Chen, Ziwei Wang, Leyang Yang, Sheng Zhou, Xiaoxuan Tang, Jiajun Bu, Yong Li, Wei Jiang

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- From Metrics to Meaning: Time to Rethink Evaluation in Human-AI Collaborative Design
Sean P. Walton, Ben J. Evans, Alma A. M. Rahat, James Stovold, Jakub Vincalek

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Understanding Dynamic Human-Robot Proxemics in the Case of Four-Legged Canine-Inspired Robots
Xiangmin Xu, Zhen Meng, Emma Li, Mohamed Khamis, Philip G. Zhao, Robin Bretin

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- CLARE: Cognitive Load Assessment in REaltime with Multimodal Data
Anubhav Bhatti, et al.

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[2/2]:
- AppCopilot: Toward General, Accurate, Long-Horizon, and Efficient Mobile Agent
Fan, Dang, Wu, Li, Yang, Yang, Wang, Zhang, Lu, Lin, Liu, Li, Qian

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms
W. F. Lamberti, S. R. Lawrence, D. White, S. Kim, S. Abdullah

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Rea...
Minja Axelsson, Jiaee Cheong, Rune Nyrup, Hatice Gunes

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Efficient Probabilistic Visualization of Local Divergence of 2D Vector Fields with Independent Ga...
Ouermi, Li, Moreland, Pugmire, Johnson, Athawale

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Position: Towards Bidirectional Human-AI Alignment
Hua Shen, et al.
https://…

[2025-09-04 Thu (UTC), 12 new articles found for cs.HC Human-Computer Interaction]
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Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
Hua Shen, Nicholas Clark, Tanushree Mitra

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- DISCOVER: Data-driven Identification of Sub-activities via Clustering and Visualization for Enhan...
Alexander Karpekov, Sonia Chernova, Thomas Pl\"otz

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Intelligent 5S Audit: Application of Artificial Intelligence for Continuous Improvement in the Au...
Rafael da Silva Maciel, Lucio Veraldo Jr

Datasets for Valence and Arousal Inference: A Survey
Helen Schneider, Svetlana Pavlitska, Helen Gremmelmaier, J. Marius Z\"ollner
https://arxiv.org/abs/2510.00738 https://

Datasets for Valence and Arousal Inference: A Survey
Understanding human affect can be used in robotics, marketing, education, human-computer interaction, healthcare, entertainment, autonomous driving, and psychology to enhance decision-making, personalize experiences, and improve emotional well-being. This work presents a comprehensive overview of affect inference datasets that utilize continuous valence and arousal labels. We reviewed 25 datasets published between 2008 and 2024, examining key factors such as dataset size, subject distribution, …

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Interactive Inference: A Neuromorphic Theory of Human-Computer Interaction
Roel Vertegaal, Timothy Merritt, Saul Greenberg, Aneesh P. Tarun, Zhen Li, Zafeirios Fountas

[2025-09-03 Wed (UTC), 26 new articles found for cs.HC Human-Computer Interaction]
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[2025-10-03 Fri (UTC), 19 new articles found for cs.HC Human-Computer Interaction]
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Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- PyZoBot: A Platform for Conversational Information Extraction and Synthesis from Curated Zotero R...
Suad Alshammari, Lama Basalelah, Walaa Abu Rukbah, Ali Alsuhibani, Dayanjan S. Wijesinghe

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Zero-Shot KWS for Children's Speech using Layer-Wise Features from SSL Models
Subham Kutum, Abhijit Sinha, Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Mahesh Chandra Govil

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Fairness for niche users and providers: algorithmic choice and profile portability
Elizabeth McKinnie, Anas Buhayh, Clement Canel, Robin Burke

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Quantum est in Libris: Navigating Archives with GenAI, Uncovering Tension Between Preservation an...
Mar Canet Sola, Varvara Guljajeva

[2025-09-02 Tue (UTC), no new articles found for cs.HC Human-Computer Interaction]
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[2025-10-02 Thu (UTC), 18 new articles found for cs.HC Human-Computer Interaction]
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Relational Dissonance in Human-AI Interactions: The Case of Knowledge Work
Emrecan Gulay, Eleonora Picco, Enrico Glerean, Corinna Coupette
https://arxiv.org/abs/2509.15836 https…

Relational Dissonance in Human-AI Interactions: The Case of Knowledge Work
When AI systems allow human-like communication, they elicit increasingly complex relational responses. Knowledge workers face a particular challenge: They approach these systems as tools while interacting with them in ways that resemble human social interaction. To understand the relational contexts that arise when humans engage with anthropomorphic conversational agents, we need to expand existing human-computer interaction frameworks. Through three workshops with qualitative researchers, we f…

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Real-Time Intuitive AI Drawing System for Collaboration: Enhancing Human Creativity through Forma...
Jookyung Song, Mookyoung Kang, Nojun Kwak

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Coach not crutch: AI assistance can enhance rather than hinder skill development
Benjamin Lira, Todd Rogers, Daniel G. Goldstein, Lyle Ungar, Angela L. Duckworth

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
Guandong Pan, Yaqian Yang, Shi Chen, Xin Wang, Longzhao Liu, Hongwei Zheng, Shaoting Tang

[2025-09-01 Mon (UTC), 8 new articles found for cs.HC Human-Computer Interaction]
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[2025-10-01 Wed (UTC), 16 new articles found for cs.HC Human-Computer Interaction]
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An Enactivist Approach to Human-Computer Interaction: Bridging the Gap Between Human Agency and Affordances
Angjelin Hila
https://arxiv.org/abs/2509.07871 https://

An Enactivist Approach to Human-Computer Interaction: Bridging the Gap Between Human Agency and Affordances
Emerging paradigms in XR, AI, and BCI contexts necessitate novel theoretical frameworks for understanding human autonomy and agency in HCI. Drawing from enactivist theories of cognition, we conceptualize human agents as self-organizing, operationally closed systems that actively enact their cognitive domains through dynamic interaction with their environments. To develop measurable variables aligned with this framework, we introduce "feelings of agency" (FoA) as an alternative to the establishe…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- A multimodal dataset for understanding the impact of mobile phones on remote online virtual educa...
Roberto Daza, Alvaro Becerra, Ruth Cobos, Julian Fierrez, Aythami Morales

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Is the medical image segmentation problem solved? A survey of current developments and future dir...
Xu, Udupa, Luo, Zhao, Yu, Raymond, Peng, Ning, Rathi, Liu, Zhang

Does Calibration Affect Human Actions?
Meir Nizri, Amos Azaria, Chirag Gupta, Noam Hazon
https://arxiv.org/abs/2508.18317 https://arxiv.org/pdf/2508.18317

Does Calibration Affect Human Actions?
Calibration has been proposed as a way to enhance the reliability and adoption of machine learning classifiers. We study a particular aspect of this proposal: how does calibrating a classification model affect the decisions made by non-expert humans consuming the model's predictions? We perform a Human-Computer-Interaction (HCI) experiment to ascertain the effect of calibration on (i) trust in the model, and (ii) the correlation between decisions and predictions. We also propose further correct…

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
Yulu Pi, Cagatay Turkay, Daniel Bogiatzis-Gibbons

[2025-09-30 Tue (UTC), 29 new articles found for cs.HC Human-Computer Interaction]
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Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiven...
Evdoxia Taka, Debadyuti Bhattacharya, Joanne Garde-Hansen, Sanjay Sharma, Tanaya Guha

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Designing Human-AI Collaboration to Support Learning in Counterspeech Writing
Ding, Ping, Gunturi, Carik, Stil, Wilhelm, Daryanto, Hawdon, Lee, Rho

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Physically Plausible Data Augmentations for Wearable IMU-based Human Activity Recognition Using P...
Nobuyuki Oishi, Philip Birch, Daniel Roggen, Paula Lago

What is "Spatial" about Spatial Computing?
Yibo Wang, Yuhan Luo, Janghee Cho, Junnan Yu
https://arxiv.org/abs/2508.20477 https://arxiv.org/pdf/25…

What is "Spatial" about Spatial Computing?
Recent advancements in geographic information systems and mixed reality technologies have positioned spatial computing as a transformative paradigm in computational science. However, the field remains conceptually fragmented, with diverse interpretations across disciplines like Human-Computer Interaction, Geographic Information Science, and Computer Science, which hinders a comprehensive understanding of spatial computing and poses challenges for its coherent advancement and interdisciplinary i…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Legacy Learning Strategy Based on Few-Shot Font Generation Models for Automatic Text Design in Me...
Younghwi Kim, Dohee Kim, Seok Chan Jeong, Sunghyun Sim

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Cluster-Aware Grid Layout
Zhou, Yang, Chen, Chen, Shen, Luo, Yu, Liu
https://

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-...
Md Sabbir Ahmed, Nova Ahmed

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- AI-driven formative assessment and adaptive learning in data-science education: Evaluating an LLM...
Fadjimata I Anaroua, Qing Li, Yan Tang, Hong P. Liu

New Synthetic Goldmine: Hand Joint Angle-Driven EMG Data Generation Framework for Micro-Gesture Recognition
Nana Wang, Gen Li, Suli Wang, Pengfei Ren, Hao Su
https://arxiv.org/abs/2509.23359

New Synthetic Goldmine: Hand Joint Angle-Driven EMG Data Generation Framework for Micro-Gesture Recognition
Electromyography (EMG)-based gesture recognition has emerged as a promising approach for human-computer interaction. However, its performance is often limited by the scarcity of labeled EMG data, significant cross-user variability, and poor generalization to unseen gestures. To address these challenges, we propose SeqEMG-GAN, a conditional, sequence-driven generative framework that synthesizes high-fidelity EMG signals from hand joint angle sequences. Our method introduces a context-aware archi…

[2025-09-29 Mon (UTC), 19 new articles found for cs.HC Human-Computer Interaction]
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- Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
Jeon, Aupetit, Lee, Ko, Kim, Quadri, Seo

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
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- Towards Machine-Generated Code for the Resolution of User Intentions
Justus Flerlage, Ilja Behnke, Odej Kao

[2025-08-29 Fri (UTC), 9 new articles found for cs.HC Human-Computer Interaction]
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- Human Feedback Driven Dynamic Speech Emotion Recognition
Ilya Fedorov, Dmitry Korobchenko

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- How Performance Pressure Influences AI-Assisted Decision Making
Nikita Haduong, Noah A. Smith

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- Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning
Lang Cao, Yingtian Zou, Chao Peng, Renhong Chen, Wu Ning, Yitong Li

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- Sliding Speed Influences Electrovibration-Induced Finger Friction Dynamics on Touchscreens
Jagan K Balasubramanian, Daan M Pool, Yasemin Vardar

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- Fair Decisions through Plurality: Results from a Crowdfunding Platform
Joel Miller, E. Glen Weyl, Chris Kanich

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- Secure Human Oversight of AI: Exploring the Attack Surface of Human Oversight
Ditz, Lazar, Lichtme{\ss}, Plesch, Heck, Baum, Langer

[2025-08-28 Thu (UTC), 18 new articles found for cs.HC Human-Computer Interaction]
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- The Narcissus Hypothesis:Descending to the Rung of Illusion
Riccardo Cadei, Christian Intern\`o

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
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- Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs
Xingang Guo, et al.

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- Examining Input Modalities and Visual Feedback Designs in Mobile Expressive Writing
Norihama, Geng, Miyazaki, Sato, Hirano, Hosio, Yatani

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- Measurement and Potential Field-Based Patient Modeling for Model-Mediated Tele-ultrasound
Ryan S. Yeung, David G. Black, Septimiu E. Salcudean

[2025-09-26 Fri (UTC), 9 new articles found for cs.HC Human-Computer Interaction]
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[2025-08-27 Wed (UTC), 16 new articles found for cs.HC Human-Computer Interaction]
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Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
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- Balancing Exploration and Cybersickness: Investigating Curiosity-Driven Behavior in Virtual Envir...
Tangyao Li, Yuyang Wang

[2025-08-26 Tue (UTC), 33 new articles found for cs.HC Human-Computer Interaction]
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[2025-09-25 Thu (UTC), 13 new articles found for cs.HC Human-Computer Interaction]
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