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User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions 25

User-Driven Value Alignment: Understanding Users' Perception...

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

作者： Fan, Xianzhe Xiao, Qing Zhou, Xuhui Pei, Jiaxin Sap, Maarten Lu, Zhicong Shen, Hong Tsinghua University Beijing China Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Language Technologies Institute Carnegie Mellon University PittsburghPA United States Stanford University StanfordCA United States Department of Computer Science George Mason University FairfaxVA United States

ISBN: (纸本)9798400713941

Content Warning: This paper presents textual examples that may be offensive or *** language model-based AI companions are increasingly viewed by users as friends or romantic partners, leading to deep emotional bonds. However, they can generate biased, discriminatory, and harmful outputs. Recently, users are taking the initiative to address these harms and re-align AI companions. We introduce the concept of user-driven value alignment, where users actively identify, challenge, and attempt to correct AI outputs they perceive as harmful, aiming to guide the AI to better align with their values. We analyzed 77 social media posts about discriminatory AI statements and conducted semi-structured interviews with 20 experienced users. Our analysis revealed six common types of discriminatory statements perceived by users, how users make sense of those AI behaviors, and seven user-driven alignment strategies, such as gentle persuasion and anger expression. We discuss implications for supporting user-driven value alignment in future AI systems, where users and their communities have greater agency. © 2025 Copyright held by the owner/author(s).

关键词： User-Driven Value Alignment

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AI-AR for Remote Visual Bridge Inspection by Drone 11

AI-AR for Remote Visual Bridge Inspection by Drone

引用

11th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2022

作者： Lapointe, Jean-Francois Sekkati, Hicham Allili, Mohand Said Hebbache, Loucif Amirkhani, Dariush Hammouche, Nadir Human-Computer Interaction Team Digital Technologies Research Centre National Research Council Canada Department of Computer Science and Engineering University of Quebec in Outaouais GatineauQCJ8X 3X7 Canada

Regular inspections of bridges and overpasses are required to ensure the safety of those infrastructures. This paper presents a system developed to do the remote visual inspection of concrete bridges and overpasses by combining drone, artificial intelligence and augmented reality technologies with the goal to assist bridge inspectors in conducting a remote visual inspection. It also reports on the results of a first field trial of this complex human-machine system. Deep learning networks can be trained to detect defects on independent images but the user interface must be adapted to track defects in a stream of images at a speed consistent with human vision to allow inspection. This first field trial allows for an initial estimate of a speed up factor of ten (10x) to conduct visual inspections. The developed system could lead to significant cost reduction to inspect the bridges and overpasses as well as significant reduction of downtimes for these transportation infrastructures. © 2022 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.

关键词： Deep learning

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A NOVEL MODEL FOR THE MATERIAL SELECTION OF SMART OBJECTS FOR HAND-REHABILITATION: A CASE STUDY 24

A NOVEL MODEL FOR THE MATERIAL SELECTION OF SMART OBJECTS FO...

引用

24th International Conference on Engineering Design, ICED 2023

作者： Bos, Mikaël Ivar Karahanoǧlu, Armaǧan Haarman, Juliet Nizamis, Kostas Chair of Systems Engineering and Multidisciplinary Design Department of Design Production and Management Faculty of Engineering Technology University of Twente Enschede Netherlands Interaction Design Research Group Department of Design Production and Management Faculty of Engineering Technology University of Twente Enschede Netherlands Human Media Interaction Group Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

Home hand rehabilitation for stroke is becoming increasingly important due to logistic and financial challenges. Developing Daily-life Integrated Hand-rehabilitation Products (DIHP) aims to enable the application of at-home rehabilitation. The materials of these products are essential for their success, however, selecting materials for DIHP has not been investigated yet. Previous research on material selection showed that it is done strictly on material properties or based on a human-centered approach. Hence, in this study, we propose a hybrid model for choosing materials for DIHP. To achieve this, we first combined the findings of previous material selection processes into a comprehensive material selection model. We applied this model in a case study, in which we first selected three materials based on their properties. Following, we 3d printed a DIHP out of the chosen materials and tested the feeling of the materials with multiple expert groups. Our findings suggest that the proposed material selection method is promising and highlights that our comprehensive model provides more insights when compared to a strict material property-based selection. © The Author(s), 2023. Published by Cambridge University Press.

关键词： 3D printing

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How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies 25

How Users Who are Blind or Low Vision Play Mobile Games: Per...

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

作者： Ran, Zihe Li, Xiyu Xiao, Qing Fan, Xianzhe Li, Franklin Mingzhe Wang, Yanyun Lu, Zhicong Communication University of China Beijing China Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Tsinghua University Beijing China College of Media Communication and Information University of Colorado Boulder BoulderCO United States Department of Computer Science George Mason University FairfaxVA United States

ISBN: (纸本)9798400713941

As blind and low-vision (BLV) players engage more deeply with games, accessibility features have become essential. While some research has explored tools and strategies to enhance game accessibility, the specific experiences of these players with mobile games remain underexamined. This study addresses this gap by investigating how BLV users experience mobile games with varying accessibility levels. Through interviews with 32 experienced BLV mobile players, we explore their perceptions, challenges, and strategies for engaging with mobile games. Our findings reveal that BLV players turn to mobile games to alleviate boredom, achieve a sense of accomplishment, and build social connections, but face barriers depending on the game's accessibility level. We also compare mobile games to other forms of gaming, highlighting the relative advantages of mobile games, such as the inherent accessibility of smartphones. This study contributes to understanding BLV mobile gaming experiences and provides insights for enhancing accessible mobile game design. © 2025 Copyright held by the owner/author(s).

关键词： computer games

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Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions 25

Let's Influence Algorithms Together: How Millions of Fans Bu...

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

作者： Xiao, Qing Zheng, Yuhang Fan, Xianzhe Zhang, Bingbing Lu, Zhicong Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States University of Amsterdam Amsterdam Amsterdam Netherlands Tsinghua University Beijing China School of Journalism and Mass Communication University of Iowa iowa CityIA United States Department of Computer Science George Mason University FairfaxVA United States

ISBN: (纸本)9798400713941

Previous research pays attention to how users strategically understand and consciously interact with algorithms but mainly focuses on an individual level, making it difficult to explore how users within communities could develop a collective understanding of algorithms and organize collective algorithmic actions. Through a two-year ethnography of online fan activities, this study investigates 43 core fans who always organize large-scale fans collective actions and their corresponding general fan groups. This study aims to reveal how these core fans mobilize millions of general fans through collective algorithmic actions. These core fans reported the rhetorical strategies used to persuade general fans, the steps taken to build a collective understanding of algorithms, and the collaborative processes that adapt collective actions across platforms and cultures. Our findings highlight the key factors that enable computer-supported collective algorithmic actions and extend collective action research into the large-scale domain targeting algorithms. © 2025 Copyright held by the owner/author(s).

关键词： Algorithm Folk Theory of Algorithm Collective Understanding of Algorithm Collective Algorithmic Action Fandom Studies

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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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ArsenicSkinNet: A Deep Learning Approach for Arsenicosis Skin Lesion Classification 1

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17th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2024

作者： Aakash, Abhinav O’Halloran, Tony Obaido, George Mienye, Ibomoiye Domor Mienye, Ebikella Ogunruku, Oyindamola Omolara Aliyu, Mikail Department of Computer Science KIIT University Bhubaneswar India Department of Computer Science National University of Ireland Galway Ireland Center for Human-Compatible Artificial Intelligence Berkeley Institute for Data Science University of California BerkeleyCA United States Institute of Intelligent Systems University of Johannesburg Johannesburg South Africa Department of Decision Sciences Western Illinois University MacombIL61455 United States School of Public Health University of California BerkeleyCA United States

ISBN: (数字)9789819606924

ISBN: (纸本)9789819606917

In many low-resource settings, the debilitating effects of arsenicosis remain a critical public health concern. This condition leads to serious health problems, including skin lesions, skin cancer, cardiovascular disease, and neurological impairment. Visual inspection is the standard practice for diagnosing arsenicosis;however, it is often subjective and can lead to variability in diagnosis. To address the urgent need for efficient arsenicosis skin detection, we propose ArsenicSkinNet, adapted from the EfficientNet architecture for the automatic classification of arsenicosis skin disease. ArsenicSkinNet is a state-of-the-art technique based on the EfficientNet neural network architecture and transfer learning, known for achieving high performance with fewer computational resources compared to traditional models. Our results show that ArsenicSkinNet achieved a classification accuracy of 99.61% on the arsenicosis skin lesion dataset. Our study demonstrates that deep learning could significantly improve the capacity for early detection and management of arsenicosis, thereby mitigating its impact on affected populations in low-resource settings. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

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Experience 2.0 and Beyond – from Visuals to human-centered Multimedia

Experience 2.0 and Beyond – from Visuals to Human-Centered ...

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Companion Proceedings of the 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

作者： Gerrit van der Veer Shah Rukh Humayoun Mahmoud Baghdadi Achim Ebert Department of Computer Science Vrije Universiteit Amsterdam Amsterdam Netherlands Computer Science San Francisco State University San Francisco California USA HCI Lab University of Kaiserslautern-Landau Kaiserslautern Germany Human Computer Interaction Lab University of Kaiserslautern-Landau (RPTU) Kaiserslautern Germany

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Opportunities for Serious Game Technologies to Engage Children with Autism in a Pakistani Sociocultural and Institutional Context: An investigation of the design space for serious game technologies to enhance engagement of children with autism and to facilitate external support provided 22

Opportunities for Serious Game Technologies to Engage Childr...

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Proceedings of the 34th Australian Conference on human-computer interaction

作者： Sara Muneeb Laurianne Sitbon Faizan Ahmad Research Center for Human Computer Interaction COMSATS University Islamabad Lahore Campus Pakistan and School of Computer Science Queensland University of Technology (QUT) Australia School of Computer Science Queensland University of Technology (QUT) Australia Department of Computer Science School of Technologies Cardiff Metropolitan University United Kingdom

ISBN: (纸本)9798400700248

Usability and design of serious game technologies have been widely investigated as academic interventions tools for children with autism. However, besides the technology, the sociocultural and institutional context also impacts the gameplay activities of children with autism as well as the external support provided by instructors. Therefore, this paper investigates i) the impact of sociocultural and institutional context over the engagement of children with autism with serious game technologies, ii) the types of external support children with autism are offered or require during gameplay session, and iii) the type of rewards and encouragers that can act as unbiased support to increase the engagement of the children with autism during *** paper investigates these factors with an inductive analysis of educational gameplay activities of 23 children with autism in Lahore, Pakistan. Our study found that sociocultural and institutional context has substantial impact over the gameplay activities of children with autism. Children required both physical and verbal support during the gameplay activities, and institutional context influences the behavior of instructors as well. Finally, dynamic animations, rewards and encouragers can keep the children engaged for longer in the gameplay.

关键词： serious game technologies children with autism Game-based learning support context and encouragers rewards

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Technology, Movement, and Play Is Hampering and Boosting Interactive Play 23

Technology, Movement, and Play Is Hampering and Boosting Int...

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10th ACM SIGCHI Annual Symposium on computer-human interaction in Play, CHI PLAY 2023

作者： Van Delden, Robby Reidsma, Dennis Postma, Dees Weijdom, Joris Márquez Segura, Elena Turmo Vidal, Laia Vega-Cebrián, José Manuel Tajadura-Jiménez, Ana Waern, Annika Park, Solip Hämäläinen, Perttu Font, José Maria Johnsson, Mats Rasmussen, Lærke Schjødt Elbæk, Lars Human Media Interaction University of Twente Enschede Netherlands Hku Theatre Hku University of the Arts Netherlands Department of Computer Science and Engineering Universidad Carlos Iii de Madrid Madrid Spain Ucl Interaction Centre University College London London United Kingdom Department of Informatics and Media Uppsala University Uppsala Sweden Aalto University Finland Department of Computer Science and Media Technology Faculty of Technology and Society Malmö University Sweden Department of Sport Sciences Faculty of Education and Society Malmö University Sweden Department of Sports Science and Clinical Biomechanics University of Southern Denmark Odense Denmark

ISBN: (纸本)9798400700293

In this paper, we highlight how including technology, movement or play can boost a design process but with unbalanced amounts can also hamper the process. We provide a set of examples where we miscalculated the amount of technology, movement, or play that was needed in a design activity in such a way that it became counterproductive and for each example mention possible adaptations. Finally, we highlight three existing approaches that can balance the overabundance of technology, movement, and play in design processes: activity-centered design, somaesthetic design, and perspective-changing movement-based design. © 2023 Owner/Author.

关键词： and process balancing movement play product technology

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