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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 4919 条记录，以下是61-70 订阅

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Measuring and Understanding Trust Calibrations for Automated systems: A Survey of the State-Of-The-Art and Future Directions 23

Measuring and Understanding Trust Calibrations for Automated...

引用

chi conference on human factors in computing systems (chi)

作者： Wischnewski, Magdalena Kraemer, Nicole Mueller, Emmanuel Res Ctr Trustworthy Data Sci & Secur Dortmund Germany Univ Duisburg Essen Duisburg Germany Tech Univ Dortmund Dortmund Germany

ISBN: (纸本)9781450394215

Trust has been recognized as a central variable to explain the resistance to using automated systems (under-trust) and the overreliance on automated systems (over-trust). To achieve appropriate reliance, users trust should be calibrated to reflect a system's capabilities. Studies from various disciplines have examined different interventions to attain such trust calibration. Based on a literature body of 1000+ papers, we identified 96 relevant publications which aimed to calibrate users trust in automated systems. To provide an in-depth overview of the state-of-the-art, we reviewed and summarized measurements of the trust calibration, interventions, and results of these efforts. For the numerous promising calibration interventions, we extract common design choices and structure these into four dimensions of trust calibration interventions to guide future studies. Our findings indicate that the measurement of the trust calibration often limits the interpretation of the effects of different interventions. We suggest future directions for this problem.

关键词： trust calibration automation empirical studies warranted trust survey

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The Effect of Explanation Design on User Perception of Smart Home Lighting systems: A Mixed-method Investigation 23

The Effect of Explanation Design on User Perception of Smart...

引用

chi conference on human factors in computing systems (chi)

作者： Dai, Jiaxin Zhang, Chao Aliakseyeu, Dzmitry Peeters, Samantha T. IJsselsteijn, Wijnand A. Signify Res Eindhoven Netherlands Eindhoven Univ Technol Eindhoven Netherlands

ISBN: (纸本)9781450394215

It has been shown that providing explanations about AI-based systems' decisions can be an effective way to increase users' trust and acceptance. The effect of explanation design in smart home systems on users' acceptance and perceptions is however less known. We therefore explored the effect of different explanation designs on acceptance in the context of the Philips Hue smart home lighting system. We conducted interviews (N = 10) and an online experiment (N = 452) using three everyday smart home lighting scenarios with different explanation types. The results showed that although participants indicated a positive attitude towards explanations, receiving an explanation can potentially reduce the perceived control of the lighting system. Furthermore, participants preferred system-based explanations rather than user-based explanations. Our study also provides recommendations for the design of explanations in smart home systems.

关键词： Smart Environments Connected Home Home Ambient Devices Internet of Things Empirical study that tells us about people

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Empirical Research Methods for human-Computer Interaction

Empirical Research Methods for Human-Computer Interaction

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

作者： MacKenzie, Ian Scott Read, Janet Horton, Matthew York University TorontoON Canada Child Computer Interaction Group University of Central Lancashire Preston United Kingdom

ISBN: (纸本)9781450394222

Most attendees at chi conferences will agree that an experiment (user study) is the hallmark of good research in human-computer interaction. But what constitutes an experiment? And how does one go from an experiment to a chi paper? This course will teach how to pose testable research questions, how to make and measure observations, and how to design and conduct an experiment. Specifically, attendees will participate in a real experiment to gain experience as both an investigator and as a participant. The second session covers the statistical tools typically used to analyze data. Most notably, attendees will learn how to organize experiment results and write a chi paper. © 2023 Owner/Author.

关键词： human computer interaction

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Bias-Aware systems: Exploring Indicators for the Occurrences of Cognitive Biases when Facing Different Opinions 23

Bias-Aware Systems: Exploring Indicators for the Occurrences...

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chi conference on human factors in computing systems (chi)

作者： Boonprakong, Nattapat Chen, Xiuge Davey, Catherine E. Tag, Benjamin Dingler, Tilman Univ Melbourne Melbourne Vic Australia

ISBN: (纸本)9781450394215

Cognitive biases have been shown to play a critical role in creating echo chambers and spreading misinformation. They undermine our ability to evaluate information and can influence our behaviour without our awareness. To allow the study of occurrences and effects of biases on information consumption behaviour, we explore indicators for cognitive biases in physiological and interaction data. Therefore, we conducted two experiments investigating how people experience statements that are congruent or divergent from their own ideological stance. We collected interaction data, eye tracking data, hemodynamic responses, and electrodermal activity while participants were exposed to ideologically tainted statements. Our results indicate that people spend more time processing statements that are incongruent with their own opinion. We detected differences in blood oxygenation levels between congruent and divergent opinions, a first step towards building systems to detect and quantify cognitive biases.

关键词： Bias-aware systems Cognitive biases Cognition-aware systems fNIRS Eye tracking Electrodermal activity

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Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive systems 24

Uncovering and Addressing Blink-Related Challenges in Using ...

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chi conference on human factors in computing Sytems (chi)

作者： Grootjen, Jesse W. Weingaertner, Henrike Mayer, Sven Ludwig Maximilians Univ Munchen Munich Ctr Machine Learning Munich Germany Ludwig Maximilians Univ Munchen Munich Germany

ISBN: (纸本)9798400703300

Currently, interactive systems use physiological sensing to enable advanced functionalities. While eye tracking is a promising means to understand the user, eye tracking data inherently suffers from missing data due to blinks, which may result in reduced system performance. We conducted a literature review to understand how researchers deal with this issue. We uncovered that researchers often implemented their use-case-specific pipeline to overcome the issue, ranging from ignoring missing data to artificial interpolation. With these first insights, we run a large-scale analysis on 11 publicly available datasets to understand the impact of the various approaches on data quality and accuracy. By this, we highlight the pitfalls in data processing and which methods work best. Based on our results, we provide guidelines for handling eye tracking data for interactive systems. Further, we propose a standard data processing pipeline that allows researchers and practitioners to pre-process and standardize their data efficiently.

关键词： human computer interaction eye tracking blinks interactive systems

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Interaction Effects of Pedestrian Behavior, Smartphone Distraction and External Communication of Automated Vehicles on Crossing and Gaze Behavior 23

Interaction Effects of Pedestrian Behavior, Smartphone Distr...

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chi conference on human factors in computing systems (chi)

作者： Lanzer, Mirjam Koniakowsky, Ina Colley, Mark Baumann, Martin Ulm Univ Human Factors Ulm Germany Ulm Univ Inst Media Informat Ulm Germany

ISBN: (纸本)9781450394215

External communication of automated vehicles is proposed to replace driver-pedestrian communication in ambiguous crossing situations. So far, research has focused on simpler scenarios with one attentive pedestrian and one automated vehicle. This virtual reality study (N=115) investigates a more complex scenario with other crossing pedestrians, a distracting task on the smartphone, and external communication by the automated vehicle. Interaction efects were found for crossing duration, gaze behavior, and subjective measures. For attentive pedestrians, the external communication resulted in shorter crossing durations, higher perceived safety, as well as lower perceived criticality, cognitive workload, and efort. These positive efects were not found when pedestrians were distracted. Instead, distracted pedestrians benefted from other crossing pedestrians because they looked less at the stopping vehicle, felt safer, perceived the situation as less critical, and reported lower cognitive workload and efort. Pedestrians initiated crossings earlier with a group or external communication and later with a smartphone.

关键词： automated vehicles eHMI virtual reality pedestrian group smartphone distraction unsignalized crossing eye tracking

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Understanding Dark Patterns in Home IoT Devices 23

Understanding Dark Patterns in Home IoT Devices

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chi conference on human factors in computing systems (chi)

作者： Kowalcyzk, Monica Gunawan, Johanna Choffnes, David Dubois, Daniel J. Hartzog, Woodrow Wilson, Christo Northeastern Univ Boston MA 02115 USA Boston Univ Boston MA USA

ISBN: (纸本)9781450394215

Internet-of-Things (IoT) devices are ubiquitous, but little attention has been paid to how they may incorporate dark patterns despite consumer protections and privacy concerns arising from their unique access to intimate spaces and always-on capabilities. This paper conducts a systematic investigation of dark patterns in 57 popular, diverse smart home devices. We update manual interaction and annotation methods for the IoT context, then analyze dark pattern frequency across device types, manufacturers, and interaction modalities. We find that dark patterns are pervasive in IoT experiences, but manifest in diverse ways across device traits. Speakers, doorbells, and camera devices contain the most dark patterns, with manufacturers of such devices (Amazon and Google) having the most dark patterns compared to other vendors. We investigate how this distribution impacts the potential for consumer exposure to dark patterns, discuss broader implications for key stakeholders like designers and regulators, and identify opportunities for future dark patterns study.

关键词： UX design dark patterns IoT human factors

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Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in human-AI Collaborative Recidivism Risk Assessment 23

Are Two Heads Better Than One in AI-Assisted Decision Making...

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chi conference on human factors in computing systems (chi)

作者： chiang, Chun-Wei Lu, Zhuoran Li, Zhuoyan Yin, Ming Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781450394215

With the prevalence of AI assistance in decision making, a more relevant question to ask than the classical question of "are two heads better than one?" is how groups' behavior and performance in AI-assisted decision making compare with those of individuals'. In this paper, we conduct a case study to compare groups and individuals in human-AI collaborative recidivism risk assessment along six aspects, including decision accuracy and confidence, appropriateness of reliance on AI, understanding of AI, decision-making fairness, and willingness to take accountability. Our results highlight that compared to individuals, groups rely on AI models more regardless of their correctness, but they are more confident when they overturn incorrect AI recommendations. We also find that groups make fairer decisions than individuals according to the accuracy equality criterion, and groups are willing to give AI more credit when they make correct decisions. We conclude by discussing the implications of our work.

关键词： human-AI interaction Group-AI interaction AI-assisted decision making

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ContextCam: Bridging Context Awareness with Creative human-AI Image Co-Creation 24

ContextCam: Bridging Context Awareness with Creative Human-A...

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chi conference on human factors in computing Sytems (chi)

作者： Fan, Xianzhe Wu, Zihan Yu, Chun Rao, Fenggui Shi, Weinan Tu, Teng Tsinghua Univ Beijing Peoples R China Univ Michigan Ann Arbor MI USA China Acad Art Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9798400703300

The rapid advancement of AI-generated content (AIGC) promises to transform various aspects of human life significantly. This work particularly focuses on the potential of AIGC to revolutionize image creation, such as photography and self-expression. We introduce ContextCam, a novel human-AI image co-creation system that integrates context awareness with mainstream AIGC technologies like Stable Diffusion. ContextCam provides user's image creation process with inspiration by extracting relevant contextual data, and leverages Large Language Model-based (LLM) multi-agents to co-create images with the user. A study with 16 participants and 136 scenarios revealed that ContextCam was well-received, showcasing personalized and diverse outputs as well as interesting user behavior patterns. Participants provided positive feedback on their engagement and enjoyment when using ContextCam, and acknowledged its ability to inspire creativity.

关键词： human-AI Co-Creation Context-Aware systems Image Generation and Editing LLM-Based Multi-Agent systems

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Understanding occupants' experiences in quantified buildings: results from a series of exploratory studies. 23

Understanding occupants' experiences in quantified buildings...

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chi conference on human factors in computing systems (chi)

作者： Margariti, Eleni Vlachokyriakos, Vasilis Kirk, David Newcastle Univ Open Lab Newcastle Upon Tyne Tyne & Wear England

ISBN: (纸本)9781450394215

Quantified smart buildings increasingly utilise data-rich technologies (such as embedded sensors and personal wearables). Research and development however, rarely addresses occupants' experiences and expectations in such environments, which is critical for designing ethical and occupant-centred workspaces. To support the design of human-centred smart buildings, a series of 4 workshops was conducted with a total of 27 participants, over 2 months, with occupants of a smart office building. Workshops used discursive (focus group) and projective (design fiction) techniques to qualitatively explore occupants' perceptions of and concerns around the collection, processing and use of data within the building. Workshop data was thematically analysed, resulting in design implications for improving occupant experience in current smart workplaces, while also contributing implications for increasing the perceivability, accessibility and usability of data in such buildings. Contributing to discourses around human-Building Interaction the paper concludes with discussion of future research challenges for occupant-centred development of quantified buildings.

关键词： human-Building Interaction Workplaces Qualitative Methods

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