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  3. The Scenic Route to Deception: Dark Patterns and Explainabil
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The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation

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Viability
0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation

PDF: https://arxiv.org/pdf/2603.14586v1

First buyer signal: unknown

Distribution channel: unknown

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Dimensions overall score 2.0

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Prior Work
Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era
Score 2.0stable
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Human-Centered Explainability in AI-Enhanced UI Security Interfaces: Designing Trustworthy Copilots for Cybersecurity Analysts
Score 4.0up
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Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
Score 3.0up
Higher Viability
Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using Agents
Score 8.0up
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On the Suitability of LLM-Driven Agents for Dark Pattern Audits
Score 4.0up
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TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation
Score 3.0up
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From Obstacles to Etiquette: Robot Social Navigation with VLM-Informed Path Selection
Score 7.0up
Higher Viability
A Causal Approach to Predicting and Improving Human Perceptions of Social Navigation Robots
Score 3.0up

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