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检索条件"任意字段=Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems"

共 5313 条记录，以下是151-160 订阅

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Survivor-Centered Transformative Justice: An Approach to Designing Alongside Domestic Violence Stakeholders in US Muslim Communities 23

Survivor-Centered Transformative Justice: An Approach to Des...

引用

chi conference on human factors in computing systems (chi)

作者： Rabaan, Hawra Dombrowski, Lynn Indiana Univ Purdue Univ Indianapolis Indianapolis IN 46202 USA

ISBN: (纸本)9781450394215

While domestic violence (DV) is prevalent in all socioeconomic settings, identity highly impacts how one experiences and recovers from abuse. This work examines US-based Muslim women's challenges when seeking help and healing from domestic violence. Through participatory interviews with 23 participants within the DV ecosystem, we find that victim-survivors' autonomy is compromised throughout the abuse, within their immediate communities, and when involving the criminal justice system. To address such harms, we adapt a survivor-centered transformative justice (SCTJ) approach, a framework to discern individual and systemic harm, to understand how to design alongside victim-survivors, and to focus on victim-survivors' autonomy. We explain under what conditions an SCTJ approach may be productive for designers. We use insights from our interviews to highlight intervention areas for reducing harm, repairing harm, and promoting healing for victim-survivors. Lastly, we offer guidelines to design for harm reduction, accountability, and systemic change.

关键词： social justice participatory design domestic violence gender-based violence transformative justice restorative justice sociotechnical systems harm reduction Islamic HCI

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OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research 23

OATutor: An Open-source Adaptive Tutoring System and Curated...

引用

chi conference on human factors in computing systems (chi)

作者： Pardos, Zachary A. Tang, Matthew Anastasopoulos, Ioannis Sheel, Shreya K. Zhang, Ethan Univ Calif Berkeley Sch Educ Berkeley CA 94720 USA Univ Calif Berkeley EECS Berkeley CA USA

ISBN: (纸本)9781450394215

Despite decades long establishment of effective tutoring principles, no adaptive tutoring system has been developed and open-sourced to the research community. The absence of such a system inhibits researchers from replicating adaptive learning studies and extending and experimenting with various tutoring system design directions. For this reason, adaptive learning research is primarily conducted on a small number of proprietary platforms. In this work, we aim to democratize adaptive learning research with the introduction of the first open-source adaptive tutoring system based on Intelligent Tutoring System principles. The system, we call Open Adaptive Tutor (OATutor), has been iteratively developed over three years with field trials in classrooms drawing feedback from students, teachers, and researchers. The MIT-licensed source code includes three creative commons (CC BY) textbooks worth of algebra problems, with tutoring supports authored by the OATutor project. Knowledge Tracing, an A/B testing framework, and LTI support are included.

关键词： Adaptive learning intelligent tutoring systems open source OER content authoring research through design replicable research

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Augmenting Pathologists with NaviPath: Design and Evaluation of a human-AI Collaborative Navigation System 23

Augmenting Pathologists with NaviPath: Design and Evaluation...

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chi conference on human factors in computing systems (chi)

作者： Gu, Hongyan Yang, Chunxu Haeri, Mohammad Wang, Jing Tang, Shirley Yan, Wenzhong He, Shujin Williams, Christopher Kazu Magaki, Shino Chen, Xiang 'Anthony' Univ Calif Los Angeles Los Angeles CA 90095 USA Univ Kansas Med Ctr Kansas City KS USA Capital Med Univ Beijing Tongren Hosp Beijing Peoples R China UCLA David Geffen Sch Med Los Angeles CA USA

ISBN: (纸本)9781450394215

Artificial Intelligence (AI) brings advancements to support pathologists in navigating high-resolution tumor images to search for pathology patterns of interest. However, existing AI-assisted tools have not realized this promised potential due to a lack of insight into pathology and HCI considerations for pathologists' navigation workflows in practice. We first conducted a formative study with six medical professionals in pathology to capture their navigation strategies. By incorporating our observations along with the pathologists' domain knowledge, we designed NAVIPATH - a human-AI collaborative navigation system. An evaluation study with 15 medical professionals in pathology indicated that: (i) compared to the manual navigation, participants saw more than twice the number of pathological patterns in unit time with NaviPath, and (ii) participants achieved higher precision and recall against the AI and the manual navigation on average. Further qualitative analysis revealed that navigation was more consistent with NaviPath, which can improve the overall examination quality.

关键词： human-AIcollaboration digitalpathology navigation medicalAI

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Electrical, Vibrational, and Cooling Stimuli-Based Redirected Walking: Comparison of Various Vestibular Stimulation-Based Redirected Walking systems 23

Electrical, Vibrational, and Cooling Stimuli-Based Redirecte...

引用

chi conference on human factors in computing systems (chi)

作者： Hwang, Seokhyun Lee, Jieun Kim, YoungIn Seo, Youngseok Kim, SeungJun Gwangju Inst Sci & Technol Gwangju South Korea

ISBN: (纸本)9781450394215

Redirected walking (RDW) is a technology that enables users to walk seamlessly in an enormous virtual space within a narrow real space while avoiding collisions with physical elements. Although RDW provides accurate proprioceptive sensations, redirection performance is limited by visual-vestibular inconsistencies. This study aims to support seamless walking in a VR environment by alleviating inconsistencies using four vestibular stimulations: noisy and directional galvanic vestibular stimulation, bone-conduction vibration, and caloric vestibular stimulation. The user study demonstrated that the stimulations successfully enable spatial expansion without impairing immersion and presence. Non-electrical stimulations (bone-conduction vibration and caloric vestibular stimulation) expanded the detection threshold, making them alternatives to electrical stimulations, and direction-based stimulation (directional galvanic vestibular stimulation) improved the user's gait stability in RDW. Finally, the findings suggested improving the user experience for vestibular stimulation RDW either by lowering audio

关键词： Virtual Reality Locomotion Redirected Walking Vestibular Stimulation Gait Stability Haptic Device

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Pair-Up: Prototyping human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom 23

Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Tr...

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chi conference on human factors in computing systems (chi)

作者： Yang, Kexin Bella Echeverria, Vanessa Lu, Zijing Mao, Hongyu Holstein, Kenneth Rummel, Nikol Aleven, Vincent Carnegie Mellon Univ Human Comp Interact Inst Pittsburgh PA 15213 USA Monash Univ Clayton Vic Australia Escuela Super Politecn Litoral Guayaquil Ecuador Carnegie Mellon Univ Pittsburgh PA 15213 USA Ruhr Univ Bochum Inst Educ Res Bochum Germany

ISBN: (纸本)9781450394215

Enabling students to dynamically transition between individual and collaborative learning activities has great potential to support better learning. We explore how technology can support teachers in orchestrating dynamic transitions during class. Working with five teachers and 199 students over 22 class sessions, we conducted classroom-based prototyping of a co-orchestration technology ecosystem that supports the dynamic pairing of students working with intelligent tutoring systems. Using mixed-methods data analysis, we study the resulting observed classroom dynamics, and how teachers and students perceived and experienced dynamic transitions as supported by our technology. We discover a potential tension between teachers' and students' preferred level of control: students prefer a degree of control over the dynamic transitions that teachers are hesitant to grant. Our study reveals design implications and challenges for future human-AI co-orchestration in classroom use, bringing us closer to realizing the vision of highly-personalized smart classrooms that address the unique needs of each student.

关键词： Classroom Orchestration Teacher-supported Tools Educational Technology human-AI Collaboration Collaborative Learning

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Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing 23

Investigating the Role of Context in the Delivery of Text Me...

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chi conference on human factors in computing systems (chi)

作者： Bhattacharjee, Ananya Williams, Joseph Jay Meyerhoff, Jonah Kumar, Harsh Mariakakis, Alex Kornfield, Rachel Univ Toronto Comp Sci Toronto ON Canada Northwestern Univ Prevent Med Evanston IL USA

ISBN: (纸本)9781450394215

Without a nuanced understanding of users' perspectives and contexts, text messaging tools for supporting psychological wellbeing risk delivering interventions that are mismatched to users' dynamic needs. We investigated the contextual factors that influence young adults' day-to-day experiences when interacting with such tools. Through interviews and focus group discussions with 36 participants, we identified that people's daily schedules and affective states were dominant factors that shape their messaging preferences. We developed two messaging dialogues centered around these factors, which we deployed to 42 participants to test and extend our initial understanding of users' needs. Across both studies, participants provided diverse opinions of how they could be best supported by messages, particularly around when to engage users in more passive versus active ways. They also proposed ways of adjusting message length and content during periods of low mood. Our findings provide design implications and opportunities for context-aware mental health management systems.

关键词： text messages mental wellbeing contextual factors JITAI daily schedule mood energy

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Negotiating Experience and Communicating Information Through Abstract Metaphor 23

Negotiating Experience and Communicating Information Through...

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chi conference on human factors in computing systems (chi)

作者： Reed, Courtney N. Strohmeier, Paul McPherson, Andrew Max Planck Inst Informat Sensorimotor Interact Saarland Informat Campus Saarbrucken Germany Queen Mary Univ London Sch Elect Engn & Comp Sci London England

ISBN: (纸本)9781450394215

An implicit assumption in metaphor use is that it requires grounding in a familiar concept, prominently seen in the popular Desktop Metaphor. In human-to-human communication, however, abstract metaphors, without such grounding, are often used with great success. To understand when and why metaphors work, we present a case study of metaphor use in voice teaching. Voice educators must teach about subjective, sensory experiences and rely on abstract metaphor to express information about unseen and intangible processes inside the body. We present a thematic analysis of metaphor use by 12 voice teachers. We found that metaphor works not because of strong grounding in the familiar, but because of its ambiguity and fexibility, allowing shared understanding between individual lived experiences. We summarise our findings in a model of metaphor-based communication. This model can be used as an analysis tool within the existing taxonomies of metaphor in user interaction for better understanding why metaphor works in HCI. It can also be used as a design resource for thinking about metaphor use and abstracting metaphor strategies from both novel and existing designs.

关键词： metaphor data representations human communication sensory experience design

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Deceptive Design Patterns in Safety Technologies: A Case Study of the Citizen App 23

Deceptive Design Patterns in Safety Technologies: A Case Stu...

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chi conference on human factors in computing systems (chi)

作者： Chordia, Ishita Tran, Lena-Phuong Tayebi, Tala Parrish, Emily Erete, Sheena Yip, Jason Hiniker, Alexis Univ Washington Informat Sch Seattle WA 98195 USA Univ Washington Human Ctr Design & Engn Seattle WA USA Univ Maryland Coll Informat Studies College Pk MD USA

ISBN: (纸本)9781450394215

Deceptive design patterns (known as dark patterns) are interface characteristics which modify users' choice architecture to gain users' attention, data, and money. Deceptive design patterns have yet to be documented in safety technologies despite evidence that designers of safety technologies make decisions that can powerfully influence user behavior. To address this gap, we conduct a case study of the Citizen app, a commercially available technology which notifies users about local safety incidents. We bound our study to Atlanta and triangulate interview data with an analysis of the user interface. Our results indicate that Citizen heightens users' anxiety about safety while encouraging the use of profit-generating features which offer security. These findings contribute to an emerging conversation about how deceptive design patterns interact with sociocultural factors to produce deceptive infrastructure. We propose the need to expand an existing taxonomy of harm to include emotional load and social injustice and offer recommendations for designers interested in dismantling the deceptive infrastructure of safety technologies.

关键词： dark patterns safety dark infrastructure manipulative design deceptive design crime community safety fear anxiety safety technologies

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LegalWriter: An Intelligent Writing Support System for Structured and Persuasive Legal Case Writing for Novice Law Students 24

LegalWriter: An Intelligent Writing Support System for Struc...

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chi conference on human factors in computing Sytems (chi)

作者： Weber, Florian Wambsganss, Thiemo Neshaei, Seyed Parsa Soellner, Matthias Univ Kassel Kassel Germany Bern Univ Appl Sci Bern Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland

ISBN: (纸本)9798400703300

Novice students in law courses or students who encounter legal education face the challenge of acquiring specialized and highly concept-oriented knowledge. Structured and persuasive writing combined with the necessary domain knowledge is challenging for many learners. Recent advances in machine learning (ML) have shown the potential to support learners in complex writing tasks. To test the effects of ML-based support on students' legal writing skills, we developed the intelligent writing support system Legal-Writer. We evaluated the system's effectiveness with 62 students. We showed that students who received intelligent writing support based on their errors wrote more structured and persuasive case solutions with a better quality of legal writing than the current benchmark. At the same time, our results demonstrated the positive effects on the students' writing processes.

关键词： Writing support systems Learning systems Adaptive learning Learning from errors Legal education

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RetroLens: A human-AI Collaborative System for Multi-step Retrosynthetic Route Planning 23

RetroLens: A Human-AI Collaborative System for Multi-step Re...

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chi conference on human factors in computing systems (chi)

作者： Shi, Chuhan Hu, Yicheng Wang, Shenan Ma, Shuai Zheng, Chengbo Ma, Xiaojuan Luo, Qiong Hong Kong Univ Sci & Technol Hong Kong Peoples R China Queen Mary Univ London London England Hong Kong Univ Sci & Technol Guangzhou Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781450394215

Multi-step retrosynthetic route planning (MRRP) is the core task in synthetic chemistry, in which chemists recursively deconstruct a target molecule to find a set of reactants that make up the target. MRRP is challenging in that the search space is vast, and chemists are often lost in the process. Existing AI models can achieve automatic MRRP fast, but they only work on relatively simple targets, which leaves complex molecules under chemists' expertise. To facilitate MRRP of complex molecules, we proposed a human-AI collaborative system, RetroLens, through a participatory design process. AI can contribute by two approaches: joint action and algorithm-in-the-loop. Deconstruction steps are allocated to chemists or AI based on their capabilities and AI recommends candidate revision steps to fix problems along the way. A within-subjects study (N=18) showed that chemists who used RetroLens reported faster MRRP, broader design space exploration, higher confidence in their planning, and lower cognitive load.

关键词： human-AI collaboration multi-step problem solving multi-criteria decision making

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