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"If it is easy to understand then it will have value": Examining Perceptions of Explainable AI with Community Health Workers in Rural India
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11915034_117openalex-snapshot
Cultural Interface Design: Global Colors Study
inferredcites →https://doi.org/10.1007/978-3-030-60117-1_33openalex-snapshot
Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach
inferredcites →https://doi.org/10.1007/978-3-031-19775-8_17openalex-snapshot
HIVE: Evaluating the Human Interpretability of Visual Explanations
inferredcites →https://doi.org/10.1016/j.artint.2021.103473openalex-snapshot
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
inferredcites →https://doi.org/10.1016/j.inffus.2019.12.012openalex-snapshot
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
inferredcites →https://doi.org/10.1016/s0140-6736(08)60835-1openalex-snapshot
Effect of community-based newborn-care intervention package implemented through two service-delivery strategies in Sylhet district, Bangladesh: a cluster-randomised controlled trial
inferredcites →https://doi.org/10.1016/s0140-6736(08)61483-xopenalex-snapshot
Effect of community-based behaviour change management on neonatal mortality in Shivgarh, Uttar Pradesh, India: a cluster-randomised controlled trial
inferredcites →https://doi.org/10.1037//0003-066x.54.12.1070openalex-snapshot
Science, ethnicity, and bias: Where have we gone wrong?
inferredcites →https://doi.org/10.1080/10447318.2013.765759openalex-snapshot
Reframing HCI Through Local and Indigenous Perspectives
inferredcites →https://doi.org/10.1097/jac.0b013e31822cbe60openalex-snapshot
The Work of Community Health Workers in Major Cities in Brazil
inferredcites →https://doi.org/10.1109/ictd.2006.301841openalex-snapshot
Text-Free User Interfaces for Illiterate and Semi-Literate Users
inferredcites →https://doi.org/10.1109/mc.2018.3620965openalex-snapshot
Toward Human-Understandable, Explainable AI
inferredcites →https://doi.org/10.1145/1753326.1753610openalex-snapshot
Mobile-izing health workers in rural India
inferredcites →https://doi.org/10.1145/2110363.2110377openalex-snapshot
Mobile interface design for low-literacy populations
inferredcites →https://doi.org/10.1145/2207676.2208565openalex-snapshot
Interactive visualization for low literacy users
inferredcites →https://doi.org/10.1145/2516604.2516611openalex-snapshot
Integrating ODK Scan into the community health worker supply chain in Mozambique
inferredcites →https://doi.org/10.1145/2678025.2701399openalex-snapshot
Principles of Explanatory Debugging to Personalize Interactive Machine Learning
inferredcites →https://doi.org/10.1145/2858036.2858081openalex-snapshot
The Ins and Outs of HCI for Development
inferredcites →https://doi.org/10.1145/2909609.2909655openalex-snapshot
Mobile Video Dissemination for Community Health
inferredcites →https://doi.org/10.1145/2998581.2998589openalex-snapshot
Designing with Community Health Workers
inferredcites →https://doi.org/10.1145/3025453.3025514openalex-snapshot
Supporting Community Health Workers in India through Voice- and Web-Based Feedback
inferredcites →https://doi.org/10.1145/3025453.3025616openalex-snapshot
Video Consumption Patterns for First Time Smartphone Users
inferredcites →https://doi.org/10.1145/3136560.3136582openalex-snapshot
Changing data practices for community health workers
inferredcites →https://doi.org/10.1145/3170427.3170632openalex-snapshot
The General Data Protection Regulation
inferredcites →https://doi.org/10.1145/3290605.3300789openalex-snapshot
Explaining Decision-Making Algorithms through UI
inferredcites →https://doi.org/10.1145/3290605.3300831openalex-snapshot
Designing Theory-Driven User-Centric Explainable AI
inferredcites →https://doi.org/10.1145/3301275.3302289openalex-snapshot
The effects of example-based explanations in a machine learning interface
inferredcites →https://doi.org/10.1145/3311957.3359454openalex-snapshot
Using Cultural Probes In New Contexts
inferredcites →https://doi.org/10.1145/3313831.3376219openalex-snapshot
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning
inferredcites →https://doi.org/10.1145/3313831.3376590openalex-snapshot
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
inferredcites →https://doi.org/10.1145/3313831.3376624openalex-snapshot
No Explainability without Accountability
inferredcites →https://doi.org/10.1145/3313831.3376718openalex-snapshot
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy
inferredcites →https://doi.org/10.1145/3331184.3331404openalex-snapshot
Explanatory and Actionable Debugging for Machine Learning
inferredcites →https://doi.org/10.1145/3334480.3383047openalex-snapshot
What Do People Really Want When They Say They Want "Explainable AI?" We Asked 60 Stakeholders.
inferredcites →https://doi.org/10.1145/3351095.3375624openalex-snapshot
Explainable machine learning in deployment
inferredcites →https://doi.org/10.1145/3359206openalex-snapshot
"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making
inferredcites →https://doi.org/10.1145/3377325.3377480openalex-snapshot
How do visual explanations foster end users' appropriate trust in machine learning?
inferredcites →https://doi.org/10.1145/3377325.3377519openalex-snapshot
Evaluating saliency map explanations for convolutional neural networks
inferredcites →https://doi.org/10.1145/3387166openalex-snapshot
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
inferredcites →https://doi.org/10.1145/3392561.3394630openalex-snapshot
Supporting Smartphone-Based Image Capture of Rapid Diagnostic Tests in Low-Resource Settings
inferredcites →https://doi.org/10.1145/3397481.3450644openalex-snapshot
I Think I Get Your Point, AI! The Illusion of Explanatory Depth in Explainable AI
inferredcites →https://doi.org/10.1145/3397481.3450662openalex-snapshot
Visual, textual or hybrid: the effect of user expertise on different explanations
inferredcites →https://doi.org/10.1145/3411764.3445088openalex-snapshot
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
inferredcites →https://doi.org/10.1145/3411764.3445111openalex-snapshot
Illustrating the Gaps and Needs in the Training Support of Community Health Workers in India
inferredcites →https://doi.org/10.1145/3411764.3445130openalex-snapshot
AI in Global Health: The View from the Front Lines
inferredcites →https://doi.org/10.1145/3411764.3445188openalex-snapshot
Expanding Explainability: Towards Social Transparency in AI systems
inferredcites →https://doi.org/10.1145/3411764.3445315openalex-snapshot
Manipulating and Measuring Model Interpretability
inferredcites →https://doi.org/10.1145/3411764.3445420openalex-snapshot
“It cannot do all of my work”: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India
inferredcites →https://doi.org/10.1145/3411764.3445518openalex-snapshot
“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
inferredcites →https://doi.org/10.1145/3411764.3445717openalex-snapshot
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
inferredcites →https://doi.org/10.1145/3411764.3445736openalex-snapshot
Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency
inferredcites →https://doi.org/10.1145/3415224openalex-snapshot
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance
inferredcites →https://doi.org/10.1145/3442188.3445896openalex-snapshot
Re-imagining Algorithmic Fairness in India and Beyond
inferredcites →https://doi.org/10.1145/3449210openalex-snapshot
Actionable UI Design Guidelines for Smartphone Applications Inclusive of Low-Literate Users
inferredcites →https://doi.org/10.1145/3461778.3462131openalex-snapshot
Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations Across the AI Lifecycle
inferredcites →https://doi.org/10.1145/3491102.3517533openalex-snapshot
”Because AI is 100% right and safe”: User Attitudes and Sources of AI Authority in India
inferredcites →https://doi.org/10.1145/3530190.3534814openalex-snapshot
Invisible Work in Two Frontline Health Contexts
inferredcites →https://doi.org/10.1145/3579605openalex-snapshot
Explanations Can Reduce Overreliance on AI Systems During Decision-Making
inferredcites →https://doi.org/10.1145/62402.62424openalex-snapshot
ACE: a color expert system for user interface design
inferredcites →https://doi.org/10.1145/67449.67455openalex-snapshot
Color in user interface design: functionally and aesthetics
inferredcites →https://doi.org/10.1162/itid.2007.4.1.69openalex-snapshot
Speech Interfaces for Equitable Access to Information Technology
inferredcites →https://doi.org/10.1177/0272989x10393976openalex-snapshot
Varieties of Uncertainty in Health Care
inferredcites →https://doi.org/10.1186/s12960-016-0163-2openalex-snapshot
The global pendulum swing towards community health workers in low- and middle-income countries: a scoping review of trends, geographical distribution and programmatic orientations, 2005 to 2014
inferredcites →https://doi.org/10.1186/s12960-018-0304-xopenalex-snapshot
What do we know about community-based health worker programs? A systematic review of existing reviews on community health workers
inferredcites →https://doi.org/10.1201/9781003401797-41openalex-snapshot
Globalization, Localization, and Cross-Cultural User Interface Design
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.120openalex-snapshot
Contrastive Explanations for Model Interpretability
inferredcites →https://doi.org/10.18653/v1/2021.internlp-1.1openalex-snapshot
HILDIF: Interactive Debugging of NLI Models Using Influence Functions
inferredcites →https://doi.org/10.26522/brocked.v12i2.38openalex-snapshot
The Use of Think-aloud Methods in Qualitative Research An Introduction to Think-aloud Methods
inferredcites →https://doi.org/10.3389/fdgth.2020.00006openalex-snapshot
Artificial Intelligence for Healthcare in Africa
inferredcites →https://doi.org/10.4172/2167-1079.1000149openalex-snapshot
Strengthening Primary Health Care Through Asha Workers: A Novel Approach in India
inferredcites →https://doi.org/10.7189/jogh.08.020418openalex-snapshot
Improving Community Health Worker performance by using a personalised feedback dashboard for supervision: a randomised controlled trial
inferredcites →https://doi.org/10.7448/ias.16.1.18586openalex-snapshot
Role and outcomes of community health workers in HIV care in sub‐Saharan Africa: a systematic review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-08317-3_15openalex-snapshot
The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments
inferred← citeshttps://doi.org/10.1007/978-981-96-7448-0_29-1openalex-snapshot
Artificial Intelligence in Healthcare: Ethical Challenges and Promoting Clinical Equity and Transparency
inferred← citeshttps://doi.org/10.1007/s40471-026-00393-xopenalex-snapshot
CHWs, Health Literacy, and AI: A Short Review on Synergistic Opportunities for Improving Cardiovascular Health
inferred← citeshttps://doi.org/10.1145/3600211.3604759openalex-snapshot
Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings
inferred← citeshttps://doi.org/10.1145/3663547.3746395openalex-snapshot
Exploring the Usability of Gaze-based Mobile Communication in Ghana
inferred← citeshttps://doi.org/10.1145/3687009openalex-snapshot
"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships
inferred← citeshttps://doi.org/10.1145/3706598.3713564openalex-snapshot
AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
inferred← citeshttps://doi.org/10.1145/3706598.3713680openalex-snapshot
ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers
inferred← citeshttps://doi.org/10.1145/3706598.3713850openalex-snapshot
"Who is running it?" Towards Equitable AI Deployment in Home Care Work
inferred← citeshttps://doi.org/10.1145/3715275.3732180openalex-snapshot
Beyond Semantics: Examining Gender Bias in LLMs Deployed within Low-resource Contexts in India
inferred← citeshttps://doi.org/10.1145/3715335.3735491openalex-snapshot
Caring Within Platform Capitalism: Community Health Workers’ Perspectives on Social Media for Health Promotion and Advocacy
inferred← citeshttps://doi.org/10.1145/3757660openalex-snapshot
Steering AI-driven Personalization of Scientific Text for General Audiences
inferred← citeshttps://doi.org/10.1145/3786579.3804944openalex-snapshot
Human--AI Interaction in Low-Tech, Low-Resource Healthcare Systems
inferred← citeshttps://doi.org/10.1145/3811242.3827548openalex-snapshot
The Limits of Technological Disruption: AI Imaginaries for Parkinson's Care in Low-Resourced Public Health Systems
inferred← citeshttps://doi.org/10.1145/3830727.3834827openalex-snapshot
From Wearable Data to Risk Literacy: Visualizing Physiological Heat Stress for Rickshaw Pullers in Dhaka
inferred← citeshttps://doi.org/10.1177/10920617241292155openalex-snapshot
Exploring human-swarm interaction dynamics in cyber-physical systems: A physiological approach
inferred← citeshttps://doi.org/10.2139/ssrn.5957275openalex-snapshot
Tracing Stakeholder Decisions in a Human-AI Teaming Interface: From Design Trade-offs to User Experience in Manned-Unmanned Teaming
inferred← citeshttps://doi.org/10.2139/ssrn.6211215openalex-snapshot
Leveraging Generative AI for Human Understanding: Meta-Requirements and Design Principles for Explanatory AI as a new Paradigm
inferred← citeshttps://doi.org/10.4018/979-8-3693-9045-0.ch005openalex-snapshot
Explainable AI in Healthcare Imaging for Medical Diagnosis
inferred← citeshttps://doi.org/10.70389/pjai.100021openalex-snapshot
The Role of Artificial Intelligence in Enhancing Maternal and Child Health Through Digital Health Initiatives in Resource-Limited Settings: A Narrative Review
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