All

Papers

Browse and search HCI research papers from All

Active Filters

Institution: UC Davis

16 results

Can AI Be a Moral Victim? The Role of Moral Patiency and Ownership Perceptions in Ethical Judgments of Using AI-Generated Content

The growing use of generative AI raises ethical concerns about authorship attribution and plagiarism. This study examines how people judge the reuse of AI-generated content, focusing on moral patiency and ownership perceptions. In an experiment, participants evaluated two substantively similar manuscripts in which the…

Hyesun Choung et al.Purdue University

Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment

Millions of people live with cognitive impairment from Alzheimer’s disease and related dementias (ADRD). Voice-enabled smart home systems offer promise for supporting daily living but rely on automatic speech recognition (ASR) to transcribe their speech to text. Prior work has shown reduced ASR performance for adults…

Michelle Cohn et al.University of California, Davis

Know Before You Speak: Supporting Global Team Formation with Social Profile Displays in Virtual Environments

Global work collaboration creates invisible physical and social barriers. Collaborating across non-physical barriers can be communicatively and cognitively taxing, which may disincentivize workers to form and participate in global teams with diverse members. As virtual environments (VEs) enabled by VR and game technol…

Qingxiaoyang Zhu et al.University of California, Davis

Distributed & Remote Work

ActionaBot: Structuring Metacognitive Conversations towards In-Situ Awareness in How-To Instruction Following

People often rely on shared procedures and tips to handle unfamiliar tasks, but following tutorials can be challenging. Individuals may skip steps, alter actions, or miss information, leading to mistakes or task failure. Tutorials are often based on personal experiences and may omit important details, which vary with…

Qingxiaoyang Zhu et al.University of California, Davis

AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Now

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

Dimensionality reduction (DR) techniques are essential for visually analyzing high-dimensional data. However, visual analytics using DR often face unreliability, stemming from factors such as inherent distortions in DR projections. This unreliability can lead to analytic insights that misrepresent the underlying data,…

Hyeon Jeon et al.Seoul National University

Dialoging Resonance in Human-Chatbot Conversation: How Users Perceive and Reciprocate Recommendation Chatbot’s Self-Disclosure Strategy

Using chatbots to make recommendations is increasingly popular. The design of recommendation chatbots has mainly been taking an information-centric approach by focusing on the recommended content per se. Limited attention is on how social connection and relational strategies, such as self-disclosure from a chatbot, ma…

Kai-Hui Liang et al.Columbia University

Session 3f: Conversations with Machines

EduLive: Re-Creating Cues for Instructor-Learners Interaction in Educational Live Streams with Learners’ Transcript-Based Annotations

Educational live streaming has become a complement to in-person teaching. While synchronous instructor-learner communication is useful, the technology-mediated nature of live streaming can obscure many interaction cues (e.g., learners’ facial expressions and body language), which dampens the instructors’ ability to re…

Jingchao Fang et al.University of California, Davis

Session 2d: Interaction, Engagement, and Support in Educational Environments

BioCosMe: Lip-based Cosmetics with Colorimetric Biosensors for Salivary Analysis

This paper introduces a lipstick biosensor as a novel form factor for health monitoring that displays pH levels through color variation. Using the unique properties of lipstick—different colors, easy application and reapplication on lips, interaction with saliva and drinks—we aim to provide an always-available and non…

Shuyi Sun et al.

University of California, Davis

Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data

We present an approach that shows all relevant subspaces of categorical data condensed in a single picture. We model the categorical values of the attributes as co-occurrences with data partitions generated from structured data using pattern mining. We show that these co-occurrences are a-priori, allowing us to greatl…

Wolfgang Jentner et al.University of Konstanz

Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer

As machine learning (ML) gains wider adoption in real-world applications, the validation of ML models becomes fundamental for its productization, particularly in safety-critical applications. Recently, data slice finding has emerged as a popular method for validating ML models, but it requires additional metadata or c…

Xiaoyu Zhang et al.City University of Hong Kong

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

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 generat…

Xiaoyu Zhang et al.City University of Hong Kong

Understanding Social Influence in Collective Product Ratings Using Behavioral and Cognitive Metrics

Online platforms commonly collect and display user-generated information to support subsequent users' decision-making. However, studies have noticed that presenting collective information can pose social influences on individuals' opinions and alter their preferences accordingly. It is essential to deepen understandin…

Fu-Yin Cherng et al.National Chung Cheng University

Videoconference and Embodied VR: Communication Patterns Across Task and Medium

Videoconference has become the dominant technology for remote meetings. Embodied Virtual Reality is a potential alternative that employs motion tracking in order to place people in a shared virtual environment as avatars. This paper describes a 210 participant study focused on behavioral measures that compares multi…

Ahsan Abdullah et al.University of California, Davis

VR and Immersive Interfaces

Origins of Algorithmic Instabilities in Crowdsourced Ranking

Crowdsourcing systems aggregate decisions of many people to help identify high-quality options, such as the best answers to questions or interesting news stories. A long-standing issue in crowdsourcing is how option quality and human judgement heuristics interact to affect collective outcomes, such as the perceived…

Keith Burghardt et al.Information Sciences Institute

Crowds and Collaboration

Introducing the Sustainable Prototyping Life Cycle for Digital Fabrication to Designers

This paper introduces the Sustainable Prototyping Life Cycle for Digital Fabrication, an adaptation from the Life Cycle Assessment method that presents the environmental impact of digital fabrication in every phase of prototyping. The cycle has four phases: raw materials acquisition, manufacturing and distribution, us…

Eldy S. Lazaro Vasquez et al.University of California

OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera

Due to a lack of medical resources or oral health awareness, oral diseases are often left unexamined and untreated, affecting a large population worldwide. With the advent of low-cost, sensor-equipped smartphones, mobile apps offer a promising possibility for promoting oral health. However, to the best of our knowledg…

Yuan Liang et al.University of California, Los Angeles

Paper Title	Authors	Research Topics
emoji_events Can AI Be a Moral Victim? The Role of Moral Patiency and Ownership Perceptions in Ethical Judgments of Using AI-Generated Content The growing use of generative AI raises ethical concerns about authorship attribution and plagiarism. This study examines how people judge the reuse of AI-generated content, focusing on moral patiency and ownership perceptions. In an experiment, participants evaluated two substantively similar manuscripts in which the…	HC Hyesun Choung et al.Purdue University
Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment Millions of people live with cognitive impairment from Alzheimer’s disease and related dementias (ADRD). Voice-enabled smart home systems offer promise for supporting daily living but rely on automatic speech recognition (ASR) to transcribe their speech to text. Prior work has shown reduced ASR performance for adults…	MC Michelle Cohn et al.University of California, Davis
Know Before You Speak: Supporting Global Team Formation with Social Profile Displays in Virtual Environments Global work collaboration creates invisible physical and social barriers. Collaborating across non-physical barriers can be communicatively and cognitively taxing, which may disincentivize workers to form and participate in global teams with diverse members. As virtual environments (VEs) enabled by VR and game technol…	QZ Qingxiaoyang Zhu et al.University of California, Davis	Distributed & Remote Work
ActionaBot: Structuring Metacognitive Conversations towards In-Situ Awareness in How-To Instruction Following People often rely on shared procedures and tips to handle unfamiliar tasks, but following tutorials can be challenging. Individuals may skip steps, alter actions, or miss information, leading to mistakes or task failure. Tutorials are often based on personal experiences and may omit important details, which vary with…	QZ Qingxiaoyang Zhu et al.University of California, Davis
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction Dimensionality reduction (DR) techniques are essential for visually analyzing high-dimensional data. However, visual analytics using DR often face unreliability, stemming from factors such as inherent distortions in DR projections. This unreliability can lead to analytic insights that misrepresent the underlying data,…	HJ Hyeon Jeon et al.Seoul National University
Dialoging Resonance in Human-Chatbot Conversation: How Users Perceive and Reciprocate Recommendation Chatbot’s Self-Disclosure Strategy Using chatbots to make recommendations is increasingly popular. The design of recommendation chatbots has mainly been taking an information-centric approach by focusing on the recommended content per se. Limited attention is on how social connection and relational strategies, such as self-disclosure from a chatbot, ma…	KL Kai-Hui Liang et al.Columbia University	Session 3f: Conversations with Machines
EduLive: Re-Creating Cues for Instructor-Learners Interaction in Educational Live Streams with Learners’ Transcript-Based Annotations Educational live streaming has become a complement to in-person teaching. While synchronous instructor-learner communication is useful, the technology-mediated nature of live streaming can obscure many interaction cues (e.g., learners’ facial expressions and body language), which dampens the instructors’ ability to re…	JF Jingchao Fang et al.University of California, Davis	Session 2d: Interaction, Engagement, and Support in Educational Environments
BioCosMe: Lip-based Cosmetics with Colorimetric Biosensors for Salivary Analysis This paper introduces a lipstick biosensor as a novel form factor for health monitoring that displays pH levels through color variation. Using the unique properties of lipstick—different colors, easy application and reapplication on lips, interaction with saliva and drinks—we aim to provide an always-available and non…	SS Shuyi Sun et al.University of California, Davis
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data We present an approach that shows all relevant subspaces of categorical data condensed in a single picture. We model the categorical values of the attributes as co-occurrences with data partitions generated from structured data using pattern mining. We show that these co-occurrences are a-priori, allowing us to greatl…	WJ Wolfgang Jentner et al.University of Konstanz
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer As machine learning (ML) gains wider adoption in real-world applications, the validation of ML models becomes fundamental for its productization, particularly in safety-critical applications. Recently, data slice finding has emerged as a popular method for validating ML models, but it requires additional metadata or c…	XZ Xiaoyu Zhang et al.City University of Hong Kong
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries 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 generat…	XZ Xiaoyu Zhang et al.City University of Hong Kong
Understanding Social Influence in Collective Product Ratings Using Behavioral and Cognitive Metrics Online platforms commonly collect and display user-generated information to support subsequent users' decision-making. However, studies have noticed that presenting collective information can pose social influences on individuals' opinions and alter their preferences accordingly. It is essential to deepen understandin…	FC Fu-Yin Cherng et al.National Chung Cheng University
Videoconference and Embodied VR: Communication Patterns Across Task and Medium Videoconference has become the dominant technology for remote meetings. Embodied Virtual Reality is a potential alternative that employs motion tracking in order to place people in a shared virtual environment as avatars. This paper describes a 210 participant study focused on behavioral measures that compares multi…	AA Ahsan Abdullah et al.University of California, Davis	VR and Immersive Interfaces
Origins of Algorithmic Instabilities in Crowdsourced Ranking Crowdsourcing systems aggregate decisions of many people to help identify high-quality options, such as the best answers to questions or interesting news stories. A long-standing issue in crowdsourcing is how option quality and human judgement heuristics interact to affect collective outcomes, such as the perceived…	KB Keith Burghardt et al.Information Sciences Institute	Crowds and Collaboration
Introducing the Sustainable Prototyping Life Cycle for Digital Fabrication to Designers This paper introduces the Sustainable Prototyping Life Cycle for Digital Fabrication, an adaptation from the Life Cycle Assessment method that presents the environmental impact of digital fabrication in every phase of prototyping. The cycle has four phases: raw materials acquisition, manufacturing and distribution, us…	EV Eldy S. Lazaro Vasquez et al.University of California
emoji_events OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera Due to a lack of medical resources or oral health awareness, oral diseases are often left unexamined and untreated, affecting a large population worldwide. With the advent of low-cost, sensor-equipped smartphones, mobile apps offer a promising possibility for promoting oral health. However, to the best of our knowledg…	YL Yuan Liang et al.University of California, Los Angeles