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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 5126 条记录，以下是171-180 订阅

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Simulator-based Mixed Reality eVTOL Pilot Training: The Instructor Operator Station 24

Simulator-based Mixed Reality eVTOL Pilot Training: The Inst...

引用

chi conference on human factors in computing Sytems (chi)

作者： Kimura, Sharina Zintl, Michael Hammann, Claudius Holzapfel, Florian Tech Univ Munich Inst Flight Syst Dynam Munich Germany Tech Univ Munich Chair Bldg Phys Munich Germany

ISBN: (纸本)9798400703300

Advanced Air Mobility aircraft designs following the Simplifed Vehicle Operations (SVO) concept require novel environments for practical and intuitive pilot training. Mixed Reality (MR) technologies can support immersive and interactive learning methods for operating several SVO aircraft, including electric Vertical Take-Of and Landing (eVTOL) systems. Despite this potential, regulatory guidelines for simulator-based eVTOL pilot training, especially concerning the Instructor Operator Station (IOS) design, are nascent and require substantive development. This paper investigates the feasibility of an MR eVTOL research simulator as a training tool for instructors. A user study forms the basis for a bottom-up categorization of the instructor's performance shaping factors, which are pivotal for the design of an MR IOS. This paper contributes to the discourse on MR integration in pilot training by identifying key enhancements necessary for an IOS design.

关键词： mixed reality virtual reality cockpit interaction fight simulator fight training aviation human performance shaping factors

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The Fitts' Law Filter Bubble

The Fitts' Law Filter Bubble

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Extended Abstracts of the 2023 chi conference on human factors in computing systems, chi EA 2023

作者： Drewes, Heiko Lmu Munich Munich Germany

ISBN: (纸本)9781450394222

Fitts derived a formula that allows one to calculate the time it takes to hit a target of a given size. MacKenzie called this formula imperfect and suggested an alternative formula. This paper asks some simple questions about MacKenzie's theory. If the human-computer interaction (HCI) community does not have satisfying answers, it means that MacKenzie's formula is unfounded. In consequence, the HCI community should stop using and citing MacKenzie's formula and use Fitts' original formula instead and only when necessary. Additionally, the HCI community should review the Fitts' Law research of the last 35 years concerning criteria that indicate an echo chamber and a filter bubble and debate whether they want to publish papers based on information theory in the future. © 2023 Owner/Author.

关键词： human computer interaction

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What is in the Cards: Exploring Uses, Patterns, and Trends in Design Cards 23

What is in the Cards: Exploring Uses, Patterns, and Trends i...

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chi conference on human factors in computing systems (chi)

作者： Hsieh, Gary Halperin, Brett A. Schmitz, Evan Chew, Yen Nee Tseng, Yuan-chi Univ Washington Seattle WA 98195 USA Natl Tsing Hua Univ Hsinchu Taiwan

ISBN: (纸本)9781450394215

Card-based design tools-design cards-increasingly present opportunities to support practitioners. However, the breadth and depth of the design card landscape remain underexplored. In this work, we surveyed 103 design practitioners to assess current usages and associated barriers. Additionally, we analyzed and classified 161 decks of design cards from 1952-2020. We held a workshop with four experienced practitioners to generate initial categories, and then coded the remaining decks. We found that the cards contain seven different types of design knowledge: Creative Inspiration;human Insights;Material & Domain;Methods & Tooling;Problem Definition;Team Building;and Values in Practice. The content of these cards can support designers across design stages;however, most are intended to support the early stages of design (e.g., research and ideation) rather than later design stages (e.g., prototyping and implementation). We share additional patterns uncovered and provide recommendations to support the future development and adoption of these tools.

关键词： Card-based Design Tools Design Cards

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"I normally wouldn't talk with strangers": Introducing a Socio-Spatial Interface for Fostering Togetherness Between Strangers 23

"I normally wouldn't talk with strangers": Introducing a Soc...

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chi conference on human factors in computing systems (chi)

作者： Guo, Ge (Serena) Leshed, Gilly Green, Keith Evan Cornell Univ Informat Sci Ithaca NY 14853 USA Cornell Univ Human Ctr Design & Mech Engn Ithaca NY USA

ISBN: (纸本)9781450394215

Interacting with strangers can be benefcial but also challenging. Fortunately, these challenges can lead to design opportunities. In this paper, we present the design and evaluation of a socio-spatial interface, SocialStools, that leverages the human propensity for embodied interaction to foster togetherness between strangers. SocialStools is an installation of three responsive stools on caster wheels that generate sound and imagery in the near environment as three strangers sit on them, move them, and rotate them relative to each other. In our study with 12 groups of three strangers, we found a sense of togetherness emerged through interaction, evidenced by diferent patterns of socio-spatial movements, verbal communication, non-verbal behavior, and interview responses. We present our fndings, articulate reasons for the cultivation of togetherness, consider the unique social afordances of our spatial interface in shifting attention during interpersonal communication, and provide design implications. This research contributes insights toward designing cyber-physical interfaces that foster interaction and togetherness among strangers at a time when cultivating togetherness is especially critical.

关键词： Socio-Spatial Interface Embodied Interaction Proxemics Small Groups Mixed Reality

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Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences 23

Work with AI and Work for AI: Autonomous Vehicle Safety Driv...

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chi conference on human factors in computing systems (chi)

作者： Chu, Mengdi Zong, Keyu Shu, Xin Gong, Jiangtao Lu, Zhicong Guo, Kaimin Dai, Xinyi Zhou, Guyue Tsinghua Univ Inst AI Ind Res Beijing Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China

ISBN: (纸本)9781450394215

The development of Autonomous Vehicle (AV) has created a novel job, the safety driver, recruited from experienced drivers to supervise and operate AV in numerous driving missions. Safety drivers usually work with non-perfect AV in high-risk real-world traffic environments for road testing tasks. However, this group of workers is under-explored in the HCI community. To fill this gap, we conducted semi-structured interviews with 26 safety drivers. Our results present how safety drivers cope with defective algorithms and shape and calibrate their perceptions while working with AV. We found that, as front-line workers, safety drivers are forced to take risks accumulated from the AV industry upstream and are also confronting restricted self-development in working for AV development. We contribute the first empirical evidence of the lived experience of safety drivers, the first passengers in the development of AV, and also the grassroots workers for AV, which can shed light on future human-AI interaction research.

关键词： autonomous driving human-AI interaction AI perception AI labor responsible AI

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DRAVA: Aligning human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples 23

DRAVA: Aligning Human Concepts with Machine Learning Latent ...

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chi conference on human factors in computing systems (chi)

作者： Wang, Qianwen L'Yi, Sehi Gehlenborg, Nils Harvard Med Sch Boston MA 02115 USA

ISBN: (纸本)9781450394215

Latent vectors extracted by machine learning (ML) are widely used in data exploration (e.g., t-SNE) but sufer from a lack of interpretability. While previous studies employed disentangled representation learning (DRL) to enable more interpretable exploration, they often overlooked the potential mismatches between the concepts of humans and the semantic dimensions learned by DRL. To address this issue, we propose Drava, a visual analytics system that supports users in 1) relating the concepts of humans with the semantic dimensions of DRL and identifying mismatches, 2) providing feedback to minimize the mismatches, and 3) obtaining data insights from concept-driven exploration. Drava provides a set of visualizations and interactions based on visual piles to help users understand and refne concepts and conduct concept-driven exploration. Meanwhile, Drava employs a concept adaptor model to fne-tune the semantic dimensions of DRL based on user refnement. The usefulness of Drava is demonstrated through application scenarios and experimental validation.

关键词： Visual exploration XAI human-AI collaboration latent space small multiples

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Towards More Inclusive and Accessible Virtual Reality: Conducting Large-scale Studies in the Wild

Towards More Inclusive and Accessible Virtual Reality: Condu...

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Extended Abstracts of the 2023 chi conference on human factors in computing systems, chi EA 2023

作者： Schmelter, Thereza Kruse, Lucie Karaosmanoglu, Sukran Rings, Sebastian Steinicke, Frank Hildebrand, Kristian Berlin University of Applied Sciences and Technologies Berlin Germany Human-Computer Interaction Universität Hamburg Hamburg Germany

ISBN: (纸本)9781450394222

In this work, we demonstrate a mobile laboratory with virtual and augmented reality (VR/AR) technology housed in a truck that enables large-scale VR/AR studies and therapies in real-world environments. This project aims to improve accessibility and inclusiveness in human-computer interaction (HCI) methods, providing a platform for researchers, medical professionals, and patients to utilize laboratory hardware and space. The mobile laboratory is equipped with motion tracking technology and other hardware to allow for a range of user groups to participate in VR studies and therapies that could otherwise never partake or benefit from these services. Our findings, applications, and experiences will be presented at the chi interactivity track, with the goal of fostering future research opportunities. © 2023 Owner/Author.

关键词： Virtual reality

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HIFuzz: human Interaction Fuzzing for Small Unmanned Aerial Vehicles 24

HIFuzz: Human Interaction Fuzzing for Small Unmanned Aerial ...

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ACM chi conference on human factors in computing Sytems (chi)

作者： Chambers, Theodore Vierhauser, Michael Agrawal, Ankit Murphy, Michael Brauer, Jason Matthew Purandare, Salil Cohen, Myra B. Cleland-Huang, Jane Univ Notre Dame South Bend IN 46556 USA Univ Innsbruck Dept Comp Sci Innsbruck Austria St Louis Univ St Louis MO 63103 USA Drone Response Indiana PA USA Iowa State Univ Ames IA USA

ISBN: (纸本)9798400703300

Small Unmanned Aerial systems (sUAS) must meet rigorous safety standards when deployed in high-stress emergency response scenarios;however many reported accidents have involved humans in the loop. In this paper, we, therefore, present the HiFuzz testing framework, which uses fuzz testing to identify system vulnerabilities associated with human interactions. HiFuzz includes three distinct levels that progress from a low-cost, limited-fidelity, large-scale, no-hazard environment, using fully simulated Proxy human Agents, via an intermediate level, where proxy humans are replaced with real humans, to a high-stakes, high-cost, real-world environment. Through applying HiFuzz to an autonomous multi-sUAS system-under-test, we show that each test level serves a unique purpose in revealing vulnerabilities and making the system more robust with respect to human mistakes. While HiFuzz is designed for testing sUAS systems, we further discuss its potential for use in other Cyber-Physical systems.

关键词： human-interaction safety sUAS Cyber-Physical systems

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ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries 23

ConceptEVA: Concept-Based Interactive Exploration and Custom...

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chi conference on human factors in computing systems (chi)

作者： Zhang, Xiaoyu Li, Jianping Kelvin chi, Po-Wei Chandrasegaran, Senthil Ma, Kwan-Liu Univ Calif Davis Dept Comp Sci Davis CA 95616 USA Univ Calif Davis Databricks San Jose CA USA UC Davis Austin TX USA Delft Univ Technol Fac Ind Design Engn Delft Netherlands

ISBN: (纸本)9781450394215

With the most advanced natural language processing and artificial intelligence approaches, effective summarization of long and multi-topic documents-such as academic papers-for readers from different domains still remains a challenge. To address this, we introduce ConceptEVA, a mixed-initiative approach to generate, evaluate, and customize summaries for long and multi-topic documents. ConceptEVA incorporates a custom multi-task longformer encoder decoder to summarize longer documents. Interactive visualizations of document concepts as a network reflecting both semantic relatedness and co-occurrence help users focus on concepts of interest. The user can select these concepts and automatically update the summary to emphasize them. We present two iterations of ConceptEVA evaluated through an expert review and a within-subjects study. We find that participants' satisfaction with customized summaries through ConceptEVA is higher than their own manually-generated summary, while incorporating critique into the summaries proved challenging. Based on our findings, we make recommendations for designing summarization systems incorporating mixed-initiative interactions.

关键词： Interactive Visual Analytics Document Summarization Knowledge Graph Mixed-Initiative Interfaces

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Which Artificial Intelligences Do People Care About Most? A Conjoint Experiment on Moral Consideration 24

Which Artificial Intelligences Do People Care About Most? A ...

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ACM chi conference on human factors in computing Sytems (chi)

作者： Ladak, Ali Harris, Jamie Anthis, Jacy Reese Univ Edinburgh Edinburgh Midlothian Scotland Sentience Inst New York NY USA Univ Chicago Chicago IL 60637 USA

ISBN: (纸本)9798400703300

Many studies have identified particular features of artificial intelligences (AI), such as their autonomy and emotion expression, that affect the extent to which they are treated as subjects of moral consideration. However, there has not yet been a comparison of the relative importance of features as is necessary to design and understand increasingly capable, multi-faceted AI systems. We conducted an online conjoint experiment in which 1,163 participants evaluated descriptions of AIs that varied on these features. All 11 features increased how morally wrong participants considered it to harm the AIs. The largest effects were from human-like physical bodies and prosociality (i.e., emotion expression, emotion recognition, cooperation, and moral judgment). For human-computer interaction designers, the importance of prosociality suggests that, because AIs are often seen as threatening, the highest levels of moral consideration may only be granted if the AI has positive intentions.

关键词： Morality Prosociality Anthropomorphism human-likeness human-AI interaction human-computer interaction Conjoint experiment

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