Buchumschlag

Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Berke, Alex, Mahari, Robert, Pentland, Sandy, Larson, Kent, Calacci, Dana
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computers and Society Human-Computer Interaction
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Measuring risks inherent to our digital economies using Amazon purchase histories from US consumers
von: Berke, Alex, et al.
Veröffentlicht: (2025)

Evaluating Amazon Effects and the Limited Impact of COVID-19 With Purchases Crowdsourced from US Consumers
von: Berke, Alex, et al.
Veröffentlicht: (2025)

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
von: Jiang, Hang, et al.
Veröffentlicht: (2024)

Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy
von: Rao, Varun Nagaraj, et al.
Veröffentlicht: (2024)

Surveillance, Spacing, Screaming and Scabbing: How Digital Technology Facilitates Union Busting
von: Reiber, Frederick, et al.
Veröffentlicht: (2026)

Interaction Context Often Increases Sycophancy in LLMs
von: Jain, Shomik, et al.
Veröffentlicht: (2025)

QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums
von: Rao, Varun Nagaraj, et al.
Veröffentlicht: (2024)

Construction and application of artificial intelligence crowdsourcing map based on multi-track GPS data
von: Wang, Yong, et al.
Veröffentlicht: (2024)

Me want cookie! Towards automated and transparent data governance on the Web
von: Wright, Jesse, et al.
Veröffentlicht: (2024)

Towards softerware: Enabling personalization of interactive data representations for users with disabilities
von: Elavsky, Frank, et al.
Veröffentlicht: (2025)

Chatbots language design: the influence of language variation on user experience
von: Chaves, Ana Paula, et al.
Veröffentlicht: (2021)

TravelAgent: Generative Agents in the Built Environment
von: Noyman, Ariel, et al.
Veröffentlicht: (2024)

Impact of spatial auditory navigation on user experience during augmented outdoor navigation tasks
von: Voigt-Antons, Jan-Niklas, et al.
Veröffentlicht: (2024)

From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
von: Cheng, Myra, et al.
Veröffentlicht: (2025)

ID-RAG: Identity Retrieval-Augmented Generation for Long-Horizon Persona Coherence in Generative Agents
von: Platnick, Daniel, et al.
Veröffentlicht: (2025)

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
von: Hakami, Zaid, et al.
Veröffentlicht: (2025)

What is the focus of XAI in UI design? Prioritizing UI design principles for enhancing XAI user experience
von: Lei, Dian, et al.
Veröffentlicht: (2024)

FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations
von: Rao, Varun Nagaraj, et al.
Veröffentlicht: (2025)

A tangible user interface for assessing cognitive mapping ability
von: Sharlin, Ehud, et al.
Veröffentlicht: (2025)

How to explain it to data scientists? A mixed-methods user study about explainable AI, using mental models for explanations
von: Degen, Helmut, et al.
Veröffentlicht: (2025)

Uncovering Relationships between Android Developers, User Privacy, and Developer Willingness to Reduce Fingerprinting Risks
von: Berke, Alex, et al.
Veröffentlicht: (2026)

FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers
von: Calacci, Dana, et al.
Veröffentlicht: (2025)

Creating user stereotypes for persona development from qualitative data through semi-automatic subspace clustering
von: Korsgaard, Dannie, et al.
Veröffentlicht: (2023)

A systematic literature review to unveil users objective reaction to virtual experiences: Complemented with a conceptual model (QoUX in VE)
von: Mortezapour, Alireza, et al.
Veröffentlicht: (2025)

On tangible user interfaces, humans and spatiality
von: Sharlin, Ehud, et al.
Veröffentlicht: (2025)

Leveraging Large Language Models for enhanced personalised user experience in Smart Homes
von: Rey-Jouanchicot, Jordan, et al.
Veröffentlicht: (2024)

Spatial tangible user interfaces for cognitive assessment and training
von: Sharlin, Ehud, et al.
Veröffentlicht: (2025)

Dissecting users' needs for search result explanations
von: Juneja, Prerna, et al.
Veröffentlicht: (2024)

"Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction
von: Zhang, Shuning, et al.
Veröffentlicht: (2024)

Natural Language but Omitted? On the Ineffectiveness of Large Language Models' privacy policy from End-users' Perspective
von: Zhang, Shuning, et al.
Veröffentlicht: (2024)

Do Robots Need Body Language? Comparing Communication Modalities for Legible Motion Intent in Human-Shared Spaces
von: Cohen, Jonathan Albert, et al.
Veröffentlicht: (2026)

Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
von: Chen, Angxuan, et al.
Veröffentlicht: (2025)

Insights into mobile health application market via a content analysis of marketplace data with machine learning
von: Aydin, Gokhan, et al.
Veröffentlicht: (2024)

Exploring users' sense of safety in public using an Augmented Reality application
von: Vergari, Maurizio, et al.
Veröffentlicht: (2024)

Routes to a building or a room suited to the specific needs of users
von: Jean-Daubias, Stéphanie, et al.
Veröffentlicht: (2024)

The interplay of user preference and precision in different gaze-based interaction methods
von: Severitt, Björn Rene, et al.
Veröffentlicht: (2025)

Proactive AI Adoption can be Threatening: When Help Backfires
von: Harari, Dana, et al.
Veröffentlicht: (2025)

HeartbeatCam: Self-Triggered Photo Elicitation of Stress Events Using Wearable Sensing
von: Zhou, Boyang, et al.
Veröffentlicht: (2026)

A proposal for a revised meta-architecture of intelligent tutoring systems to foster explainability and transparency for educators
von: Gnadlinger, Florian, et al.
Veröffentlicht: (2024)

Passing the Baton: Shift Handovers within Cybersecurity Incident Response Teams
von: Kent, Liberty, et al.
Veröffentlicht: (2026)