The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Alexander S., Akter, Syeda Sabrina, Singh, JP, Anastasopoulos, Antonios |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Study on Scaling Up Multilingual News Framing Analysis
by: Akter, Syeda Sabrina, et al.
Published: (2024)
by: Akter, Syeda Sabrina, et al.
Published: (2024)
Do LLMs Truly Benefit from Longer Context in Automatic Post-Editing?
by: Kim, Ahrii, et al.
Published: (2026)
by: Kim, Ahrii, et al.
Published: (2026)
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
by: Zheng, Mingqian, et al.
Published: (2025)
by: Zheng, Mingqian, et al.
Published: (2025)
What Do We Mean by 'Pilot Study': Early Findings from a Meta-Review of Pilot Study Reporting at CHI
by: Ticona, Belu, et al.
Published: (2026)
by: Ticona, Belu, et al.
Published: (2026)
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
by: Wu, Tongshuang, et al.
Published: (2023)
by: Wu, Tongshuang, et al.
Published: (2023)
Are Today's LLMs Ready to Explain Well-Being Concepts?
by: Jiang, Bohan, et al.
Published: (2025)
by: Jiang, Bohan, et al.
Published: (2025)
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
by: Xu, Huimin, et al.
Published: (2025)
by: Xu, Huimin, et al.
Published: (2025)
MEGAnno+: A Human-LLM Collaborative Annotation System
by: Kim, Hannah, et al.
Published: (2024)
by: Kim, Hannah, et al.
Published: (2024)
Navigating Rifts in Human-LLM Grounding: Study and Benchmark
by: Shaikh, Omar, et al.
Published: (2025)
by: Shaikh, Omar, et al.
Published: (2025)
"I Like Sunnie More Than I Expected!": Exploring User Expectation and Perception of an Anthropomorphic LLM-based Conversational Agent for Well-Being Support
by: Wu, Siyi, et al.
Published: (2024)
by: Wu, Siyi, et al.
Published: (2024)
Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People
by: Huang, Dun-Ming, et al.
Published: (2024)
by: Huang, Dun-Ming, et al.
Published: (2024)
Human-LLM Collaborative Construction of a Cantonese Emotion Lexicon
by: Zhang, Yusong, et al.
Published: (2024)
by: Zhang, Yusong, et al.
Published: (2024)
DiscoverLLM: From Executing Intents to Discovering Them
by: Kim, Tae Soo, et al.
Published: (2026)
by: Kim, Tae Soo, et al.
Published: (2026)
People will agree what I think: Investigating LLM's False Consensus Effect
by: Choi, Junhyuk, et al.
Published: (2024)
by: Choi, Junhyuk, et al.
Published: (2024)
Show or Tell? Modeling the evolution of request-making in Human-LLM conversations
by: Zhu, Shengqi, et al.
Published: (2025)
by: Zhu, Shengqi, et al.
Published: (2025)
Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts
by: Kim, Seon Gyeom, et al.
Published: (2025)
by: Kim, Seon Gyeom, et al.
Published: (2025)
Performance Gains of LLMs With Humans in a World of LLMs Versus Humans
by: McCullum, Lucas, et al.
Published: (2025)
by: McCullum, Lucas, et al.
Published: (2025)
Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation
by: Lee, Sunjae, et al.
Published: (2023)
by: Lee, Sunjae, et al.
Published: (2023)
Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions
by: Kim, JiWoo, et al.
Published: (2025)
by: Kim, JiWoo, et al.
Published: (2025)
Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
by: Mysore, Sheshera, et al.
Published: (2025)
by: Mysore, Sheshera, et al.
Published: (2025)
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
by: Calderon, Nitay, et al.
Published: (2025)
by: Calderon, Nitay, et al.
Published: (2025)
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns
by: Liu, Naiming, et al.
Published: (2025)
by: Liu, Naiming, et al.
Published: (2025)
Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties
by: Tang, Zixin, et al.
Published: (2025)
by: Tang, Zixin, et al.
Published: (2025)
Sniff AI: Is My 'Spicy' Your 'Spicy'? Exploring LLM's Perceptual Alignment with Human Smell Experiences
by: Zhong, Shu, et al.
Published: (2024)
by: Zhong, Shu, et al.
Published: (2024)
AI vs. Human Judgment of Content Moderation: LLM-as-a-Judge and Ethics-Based Response Refusals
by: Pasch, Stefan
Published: (2025)
by: Pasch, Stefan
Published: (2025)
Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM
by: Chen, Xiaoyu, et al.
Published: (2024)
by: Chen, Xiaoyu, et al.
Published: (2024)
BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM
by: Chen, Xiaoyu, et al.
Published: (2025)
by: Chen, Xiaoyu, et al.
Published: (2025)
Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games
by: Yadav, Neemesh, et al.
Published: (2025)
by: Yadav, Neemesh, et al.
Published: (2025)
Explainable XR: Understanding User Behaviors of XR Environments using LLM-assisted Analytics Framework
by: Kim, Yoonsang, et al.
Published: (2025)
by: Kim, Yoonsang, et al.
Published: (2025)
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages
by: Biswas, Shreyan, et al.
Published: (2025)
by: Biswas, Shreyan, et al.
Published: (2025)
Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SCILIRE System
by: Bölücü, Necva, et al.
Published: (2026)
by: Bölücü, Necva, et al.
Published: (2026)
From Complexity to Simplicity: Using Python Instead of PsychoPy for fNIRS Data Collection
by: Sharmin, Shayla, et al.
Published: (2024)
by: Sharmin, Shayla, et al.
Published: (2024)
Beyond One-Way Influence: Bidirectional Opinion Dynamics in Multi-Turn Human-LLM Interactions
by: Jiang, Yuyang, et al.
Published: (2025)
by: Jiang, Yuyang, et al.
Published: (2025)
Evaluating LLMs as Human Surrogates in Controlled Experiments
by: Hoq, Adnan, et al.
Published: (2026)
by: Hoq, Adnan, et al.
Published: (2026)
Game Development as Human-LLM Interaction
by: Hong, Jiale, et al.
Published: (2024)
by: Hong, Jiale, et al.
Published: (2024)
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
by: He, Gaole, et al.
Published: (2025)
by: He, Gaole, et al.
Published: (2025)
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
by: Ji, Sijie, et al.
Published: (2024)
by: Ji, Sijie, et al.
Published: (2024)
Exploring the Human-LLM Synergy in Advancing Theory-driven Qualitative Analysis
by: Meng, Han, et al.
Published: (2024)
by: Meng, Han, et al.
Published: (2024)
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
by: Ivey, Jonathan, et al.
Published: (2024)
by: Ivey, Jonathan, et al.
Published: (2024)
Similar Items
-
A Study on Scaling Up Multilingual News Framing Analysis
by: Akter, Syeda Sabrina, et al.
Published: (2024) -
Do LLMs Truly Benefit from Longer Context in Automatic Post-Editing?
by: Kim, Ahrii, et al.
Published: (2026) -
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
by: Zheng, Mingqian, et al.
Published: (2025) -
What Do We Mean by 'Pilot Study': Early Findings from a Meta-Review of Pilot Study Reporting at CHI
by: Ticona, Belu, et al.
Published: (2026) -
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
by: Wu, Tongshuang, et al.
Published: (2023)