A Mobile Application Front-End for Presenting Explainable AI Results in Diabetes Risk Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Willson, Bernardus, Radityo, Henry Anand Septian, Tanadi, Raynard, Dwiyanti, Latifa, Akbar, Saiful |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Back-End for an AI-Based Diabetes Prediction Application
by: Radityo, Henry Anand Septian, et al.
Published: (2025)
by: Radityo, Henry Anand Septian, et al.
Published: (2025)
ContextualSHAP : Enhancing SHAP Explanations Through Contextual Language Generation
by: Dwiyanti, Latifa, et al.
Published: (2025)
by: Dwiyanti, Latifa, et al.
Published: (2025)
Supporting Informed Self-Disclosure: Design Recommendations for Presenting AI-Estimates of Privacy Risks to Users
by: Krsek, Isadora, et al.
Published: (2026)
by: Krsek, Isadora, et al.
Published: (2026)
Designing AI for Real Users -- Accessibility Gaps in Retail AI Front-End
by: Puri, Neha, et al.
Published: (2026)
by: Puri, Neha, et al.
Published: (2026)
User Decision Guidance with Selective Explanation Presentation from Explainable-AI
by: Fukuchi, Yosuke, et al.
Published: (2024)
by: Fukuchi, Yosuke, et al.
Published: (2024)
Combining Human-centred Explainability and Explainable AI
by: Koch, Janin, et al.
Published: (2025)
by: Koch, Janin, et al.
Published: (2025)
Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance
by: Davidson, Andrea E, et al.
Published: (2025)
by: Davidson, Andrea E, et al.
Published: (2025)
Intelligent Front-End Personalization: AI-Driven UI Adaptation
by: Rajhans, Mona
Published: (2026)
by: Rajhans, Mona
Published: (2026)
Evaluating Actionability in Explainable AI
by: Mansi, Gennie, et al.
Published: (2026)
by: Mansi, Gennie, et al.
Published: (2026)
Legally-Informed Explainable AI
by: Mansi, Gennie, et al.
Published: (2025)
by: Mansi, Gennie, et al.
Published: (2025)
The Impact of Responsible AI Research on Innovation and Development
by: Septiandri, Ali Akbar, et al.
Published: (2024)
by: Septiandri, Ali Akbar, et al.
Published: (2024)
The Imbalanced User-AI Relationships as an Ethical Failure of Front-End Design in Healthcare AI
by: Mwadime, Maureen Mghambi
Published: (2026)
by: Mwadime, Maureen Mghambi
Published: (2026)
An Actionability Assessment Tool for Explainable AI
by: Singh, Ronal, et al.
Published: (2024)
by: Singh, Ronal, et al.
Published: (2024)
Explainable AI improves task performance in human-AI collaboration
by: Senoner, Julian, et al.
Published: (2024)
by: Senoner, Julian, et al.
Published: (2024)
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
by: Constantinides, Marios, et al.
Published: (2024)
by: Constantinides, Marios, et al.
Published: (2024)
Synchronized Realities: Towards Magic Mobile Experiences through Aligned AR
by: Belz, Jan Henry
Published: (2026)
by: Belz, Jan Henry
Published: (2026)
Design and Evaluation of an AI-DrivenPersonalized Mobile App to Provide MultifacetedHealth Support for Type 2 Diabetes Patients inChina
by: Meng, Yibo, et al.
Published: (2025)
by: Meng, Yibo, et al.
Published: (2025)
Directing Space: Rehearsing Architecture as Performer with Explainable AI
by: Panagiotidis, Pavlos, et al.
Published: (2026)
by: Panagiotidis, Pavlos, et al.
Published: (2026)
Explainable AI in Usable Privacy and Security: Challenges and Opportunities
by: Freiberger, Vincent, et al.
Published: (2025)
by: Freiberger, Vincent, et al.
Published: (2025)
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
by: Nimmo, Robert, et al.
Published: (2024)
by: Nimmo, Robert, et al.
Published: (2024)
Mobile-Driven Incentive Based Exercise for Blood Glucose Control in Type 2 Diabetes
by: Abbas, Wasim, et al.
Published: (2025)
by: Abbas, Wasim, et al.
Published: (2025)
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker
by: Petridis, Savvas, et al.
Published: (2024)
by: Petridis, Savvas, et al.
Published: (2024)
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
by: Bhattacharya, Aditya
Published: (2023)
by: Bhattacharya, Aditya
Published: (2023)
Examining Risks in the AI Companion Application Ecosystem
by: Brigham, Natalie Grace, et al.
Published: (2026)
by: Brigham, Natalie Grace, et al.
Published: (2026)
Immutable Explainability: Fuzzy Logic and Blockchain for Verifiable Affective AI
by: Fransoy, Marcelo, et al.
Published: (2025)
by: Fransoy, Marcelo, et al.
Published: (2025)
Trust in Transparency: How Explainable AI Shapes User Perceptions
by: Sunny, Allen Daniel
Published: (2025)
by: Sunny, Allen Daniel
Published: (2025)
Explanations as Dialogues: Toward Human-Centered Conversational Explainable AI
by: Mathur, Niharika, et al.
Published: (2026)
by: Mathur, Niharika, et al.
Published: (2026)
From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction
by: Raees, Muhammad, et al.
Published: (2024)
by: Raees, Muhammad, et al.
Published: (2024)
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults
by: Zhang, Tongze, et al.
Published: (2024)
by: Zhang, Tongze, et al.
Published: (2024)
Trade-offs in Financial AI: Explainability in a Trilemma with Accuracy and Compliance
by: Evite, Patricia Marcella, et al.
Published: (2026)
by: Evite, Patricia Marcella, et al.
Published: (2026)
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
by: Suh, Ashley, et al.
Published: (2025)
by: Suh, Ashley, et al.
Published: (2025)
Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications
by: Chen, Jieshan, et al.
Published: (2023)
by: Chen, Jieshan, et al.
Published: (2023)
Presenting the Sense of Effort through Vibration Based on Force Estimated by Inverse Dynamics in Videos
by: Akai, Ryoma, et al.
Published: (2024)
by: Akai, Ryoma, et al.
Published: (2024)
Analyzing the Presentation, Content, and Utilization of References in LLM-powered Conversational AI Systems
by: Ouyang, Jianheng, et al.
Published: (2026)
by: Ouyang, Jianheng, et al.
Published: (2026)
BioMetaphor: AI-Generated Biodata Representations for Virtual Co-Present Events
by: Lin, Lin, et al.
Published: (2025)
by: Lin, Lin, et al.
Published: (2025)
VisAider: AI-Assisted Context-Aware Visualization Support for Data Presentations
by: Takahira, Kentaro, et al.
Published: (2025)
by: Takahira, Kentaro, et al.
Published: (2025)
Explainability for Embedding AI: Aspirations and Actuality
by: Weber, Thomas
Published: (2025)
by: Weber, Thomas
Published: (2025)
The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
by: Rossberg, Nicola, et al.
Published: (2025)
by: Rossberg, Nicola, et al.
Published: (2025)
Thoughtful, Confused, or Untrustworthy: How Text Presentation Influences Perceptions of AI Writing Tools
by: Zhou, David, et al.
Published: (2025)
by: Zhou, David, et al.
Published: (2025)
Designing for Disagreement: Front-End Guardrails for Assistance Allocation in LLM-Enabled Robots
by: Ng, Carmen
Published: (2026)
by: Ng, Carmen
Published: (2026)
Similar Items
-
Scalable Back-End for an AI-Based Diabetes Prediction Application
by: Radityo, Henry Anand Septian, et al.
Published: (2025) -
ContextualSHAP : Enhancing SHAP Explanations Through Contextual Language Generation
by: Dwiyanti, Latifa, et al.
Published: (2025) -
Supporting Informed Self-Disclosure: Design Recommendations for Presenting AI-Estimates of Privacy Risks to Users
by: Krsek, Isadora, et al.
Published: (2026) -
Designing AI for Real Users -- Accessibility Gaps in Retail AI Front-End
by: Puri, Neha, et al.
Published: (2026) -
User Decision Guidance with Selective Explanation Presentation from Explainable-AI
by: Fukuchi, Yosuke, et al.
Published: (2024)