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30th International Conference on Intelligent User Interfaces, IUI 2025

作者： Saha, Sanad Aryal, Nischal Battle, Leilani Termehchy, Arash Computer Science Oregon State University CorvallisOR United States Paul G. Allen School of Computer Science and Engineering University of Washington SeattleWA United States

ISBN: (纸本)9798400713064

Users often begin exploratory visual analysis (EVA) without clear analysis goals but iteratively refine them as they learn more about their data. As an essential step in data science, researchers want to aid EVA by developing responsive and personalized visualization tools. For this, accurate models of users' exploration behavior are becoming increasingly vital. However, many computational models assume that the human exploration behavior isstatic, which goes against thedynamic nature of EVA. In this benchmark study, we investigate how users dynamically shift their data focus in EVA and seek to find the best online learning methods for modeling users' data focus shifts. Through empirical analyses, we find reinforcement learning algorithms are better in this regard than existing approaches from visualization research. Furthermore, we discuss our findings and their impact on the future of user modeling for visualization system design. © 2025 Copyright held by the owner/author(s).

关键词： human-centered computing

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A System that Sees Your Needs 25

A System that Sees Your Needs

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30th International Conference on Intelligent User Interfaces-IUI

作者： Sheidin, Julia Akiva, Liraz Cohen, Einan Braude Coll Engn Software Engn & Informat Syst Karmiel Israel

ISBN: (纸本)9798400714092

Today, technology plays a pivotal role in our daily lives, significantly impacting individuals. Individuals with muscular dystrophy, such as Amyotrophic Lateral Sclerosis (ALS), benefit from eye-tracking technology, allowing them to interact with computers. This technology empowers them to control computer functions using only their eye movements, eliminating the need for traditional mouse and keyboard inputs. Despite these advancements, ALS patients still face challenges with certain tasks. Our study focuses on a specific individual with ALS who utilizes eye-tracking technology to navigate Adobe Premiere's video editing software. Our objective is to address these challenges by providing a solution that leverages the shortcut commands already available in Adobe Premiere Pro while also creating a simplified interface tailored for the individual we are designing for. This approach facilitates easier access to these shortcuts during his work. Our research emphasizes the potential to adapt and personalize assistive eye-tracking technology, creating more opportunities for individuals with disabilities.

关键词： Assistive technologies Eye-tracking technology User-center design Accessibility Accessibility systems and tools human-centered computing

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Extending Interaction Fidelity: The Impact of Feedback Symmetry on the Usability of Mixed Reality Applications

Extending Interaction Fidelity: The Impact of Feedback Symme...

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2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025

作者： Mayer, Daniel T. Halbritter, Cecilia Dörner, Ralf Weier, Martin Hochschule RheinMain Germany RheinMain University Germany

ISBN: (纸本)9798331514846

This paper introduces an extension to the Framework for Interaction Fidelity Analysis (FIFA) that incorporates a new dimension called Feedback Symmetry. While FIFA effectively evaluates how closely Mixed Reality (MR) interaction techniques resemble their real-world counterparts in terms of biomechanical and control aspects, it does not fully account for the role of output feedback in user experience and performance. By adding Feedback Symmetry, a measure capturing the timeliness, accuracy, and realism of system responses, we shift from focusing solely on input fidelity toward a holistic, bidirectional assessment of MR interactions. Utilizing this extended framework to analyze previously published experimental data reveals improved alignment between predicted fidelity scores and observed user performance compared to the original framework. In particular, conditions previously rated as high in fidelity but performing poorly in practice become more accurately represented when feedback properties are considered. This approach clarifies why certain natural yet inconsistent feedback schemes impede usability, while simpler yet consistent cues can enhance user outcomes. Our results highlight the importance of balanced feedback design and suggest that incorporating Feedback Symmetry into FIFA can guide researchers and developers in refining their interaction techniques, ultimately improving the usability and effectiveness of MR applications. © 2025 IEEE.

关键词： human-centered computing Interaction techniques Mixed / augmented reality

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The Impact of Segmentation Methods for Avatar representation on User Experience in a Task-Based XR experience 25

The Impact of Segmentation Methods for Avatar representation...

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Proceedings of the 2025 ACM International Conference on Interactive Media Experiences

作者： Carlos Cortés David Barbero García Jesus Gutiérrez Narciso García Grupo de Tratamiento de Imágenes Universidad Politécnica de Madrid Madrid Madrid Spain Grupo de Tratamiento de Imágenes Universidad Politécnica de Madrid MADRID Madrid Spain Grupo de Tratamiento de Imágenes Universidad Politécnica de Madrid Madrid Spain

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Power-Aware computing in Wearable Sensor Networks: An Optimal Feature Selection

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IEEE TRANSACTIONS ON MOBILE computing 2015年第4期14卷 800-812页

作者： Ghasemzadeh, Hassan Amini, Navid Saeedi, Ramyar Sarrafzadeh, Majid Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA Univ Calif Los Angeles Jules Stein Eye Inst Los Angeles CA 90095 USA Univ Calif Los Angeles Wireless Hlth Inst Los Angeles CA 90095 USA Univ Calif Los Angeles Dept Comp Sci Los Angeles CA 90095 USA

Wearable sensory devices are becoming the enabling technology for many applications in healthcare and well-being, where computational elements are tightly coupled with the human body to monitor specific events about their subjects. Classification algorithms are the most commonly used machine learning modules that detect events of interest in these systems. The use of accurate and resource-efficient classification algorithms is of key importance because wearable nodes operate on limited resources on one hand and intend to recognize critical events (e.g., falls) on the other hand. These algorithms are used to map statistical features extracted from physiological signals onto different states such as health status of a patient or type of activity performed by a subject. Conventionally selected features may lead to rapid battery depletion, mainly due to the absence of computing complexity criterion while selecting prominent features. In this paper, we introduce the notion of power-aware feature selection, which aims at minimizing energy consumption of the data processing for classification applications such as action recognition. Our approach takes into consideration the energy cost of individual features that are calculated in real-time. A graph model is introduced to represent correlation and computing complexity of the features. The problem is formulated using integer programming and a greedy approximation is presented to select the features in a power-efficient manner. Experimental results on thirty channels of activity data collected from real subjects demonstrate that our approach can significantly reduce energy consumption of the computing module, resulting in more than 30 percent energy savings while achieving 96.7 percent classification accuracy.

关键词： Real-time systems and embedded systems emerging technologies wearable computers healthcare human-centered computing signal processing ubiquitous computing low-power design optimization

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Chumby: An experiment in hackable pervasive computing

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IEEE PERVASIVE computing 2008年第3期7卷 55-62页

作者： Huang, Andrew (bunnie) Chumby Industries

As computers become more pervasive, they become more personal. The ultimate pervasive computer would be as unique as the individual it serves. Unfortunately, consumer products are typically closed to protect the manuf... 详细信息

关键词： hacking human-centered computing intellectual property rights open source ubiquitous computing consumer products Ubiquitous computing Computers Intellectual Property open source Computer hacking human-centered computing

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Person-centered accessible technologies and computing solutions through interdisciplinary and integrated perspectives from disability research

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UNIVERSAL ACCESS IN THE INFORMATION SOCIETY 2015年第3期14卷 415-426页

作者： Panchanathan, Sethuraman McDaniel, Troy Arizona State Univ Ctr Cognit Ubiquitous Comp Tempe AZ 85281 USA

human-centered computing and human-centered multimedia computing (HCMC) have emerged as important subfields of computational science which leverage the social and behavioral sciences toward improving the usability of technologies and multimedia systems. While technological solutions have made significant strides for the broader population, individuals with disabilities have been largely ignored, often having to force-fit or adapt themselves to available solutions. The authors first introduced a methodology to enrich HCMC by considering perspectives from individuals with disabilities. They subsequently introduced a person-centered approach to HCMC known as person-centered multimedia computing (PCMC). In the proposed work, they seek to further enrich the PCMC methodology by incorporating interdisciplinary inspirations that take into account the diverse challenges associated with assistive technology design and deployment. Several applications are presented, highlighting how considerations of technology, adaptation and policy from a disability perspective can enrich the design of person-centered accessible technologies. This approach has been implemented through ongoing work on a NSF IGERT project, "Alliance for Person-centered Accessible Technologies," details of which are also provided in this paper.

关键词： Assistive technology human-centered computing Person-centered computing Disability research

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Connecting Brains and Bodies: Applying Physiological computing to Support Social Interaction

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INTERACTING WITH COMPUTERS 2015年第5期27卷 534-550页

作者： Chanel, Guillaume Muehl, Christian Univ Geneva Swiss Ctr Affect Sci CH-1202 Geneva Switzerland Aerosp Med Flight Physiol German Aerosp Ctr D-51147 Cologne Germany

Physiological and affective computing propose methods to improve human-machine interactions by adapting machines to the users' states. Recently, social signal processing (SSP) has proposed to apply similar methods to human-human interactions with the hope of better understanding and modeling social interactions. Most of the social signals employed are facial expressions, body movements and speech, but studies using physiological signals remain scarce. In this paper, we motivate the use of physiological signals in the context of social interactions. Specifically, we review studies which have investigated the relationship between various physiological indices and social interactions. We then propose two main directions to apply physiological SSP: using physiological signals of individual users as new social cues displayed in the group and using inter-user physiology to measure properties of the interactions such as conflict and social presence. We conclude that physiological measures have the potential to enhance social interactions and to connect people.

关键词： Collaborative interaction Collaborative and social computing human-centered computing Law social en behavioral sciences Affective computing Physiological computing

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Social computing Unhinged

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Journal of Social computing 2020年第1期1卷 1-13页

作者： James Evans University of Chicago ChicagoIL 60637and Santa Fe InstituteSanta FeNM 87501USA.

Social computing is ubiquitous and intensifying in the 21st *** used to reference computational augmentation of social interaction through collaborative filtering,social media,wikis,and crowdsourcing,here I propose to expand the concept to cover the complete dynamic interface between social interaction and computation,including computationally enhanced sociality and social science,socially enhanced computing and computer science,and their increasingly complex combination for mutual *** recommends that we reimagine Computational Social Science as Social computing,not merely using computational tools to make sense of the contemporary explosion of social data,but also recognizing societies as emergent computers of more or less collective intelligence,innovation and *** further proposes we imagine a socially inspired computer science that takes these insights into account as we build machines not merely to substitute for human cognition,but radically complement *** leads to a vision of social computing as an extreme form of human computer interaction,whereby machines and persons recursively combine to augment one another in generating collective intelligence,enhanced knowledge,and other social goods unattainable without each *** the example of science and technology,I illustrate how progress in each of these areas unleash advances in the others and the beneficial relationship between the technology and science of social computing,which reveals limits of sociality and computation,and stimulates our imagination about how they can reach past those limits together.

关键词： social computing complex systems computer supported cooperative work computational social science artificial intelligence human computer interaction human-centered computing

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Establishing Design computing and Extended Reality Facilities for Remote Virtual Reality Training

Establishing Design Computing and Extended Reality Facilitie...

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30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Yu, Lap-Fai Li, Changyang Zhang, Yongqi Alghofaili, Rawan Huang, Haikun Yu, Liuchuan Liu, Huimin Choi, Minsoo Bannan, Brenda Mousas, Christos George Mason Univ Fairfax VA 22030 USA Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9798350348392

We discuss the existing facilities at the Design computing and Extended Reality (DCXR) Lab at George Mason University, which comprise mostly commercial off-the -shelf computing and extended reality devices, for conducting research on virtual reality -based training, We also share thoughts on extending the facilities for conducting more sophisticated virtual reality (VR) training research in the future, which features more advanced functionali ties such as remote VR training, adaptive training, and co-training in VR. In particular, we discuss a remote VR training platform to be established between George Mason University and Purdue University.

关键词： computing methodologies Computer graphics Graphics systems and interfaces Virtual reality human-centered computing human-computer interaction Interactionparadigms Virtual reality

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