惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

GbyAI
GbyAI
人人都是产品经理
人人都是产品经理
Hugging Face - Blog
Hugging Face - Blog
罗磊的独立博客
博客园 - 【当耐特】
D
Docker
Y
Y Combinator Blog
L
LangChain Blog
博客园 - 三生石上(FineUI控件)
I
InfoQ
阮一峰的网络日志
阮一峰的网络日志
F
Fortinet All Blogs
J
Java Code Geeks
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
V2EX
B
Blog
The GitHub Blog
The GitHub Blog
腾讯CDC
MongoDB | Blog
MongoDB | Blog
博客园 - Franky
爱范儿
爱范儿
A
About on SuperTechFans
量子位
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC

cs updates on arXiv.org

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment Agentic Proving for Program Verification MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts Solving the Aircraft Disassembly Scheduling Problem Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering EDGE-OPD: Internalizing Privileged Context with Evidence Guided On-Policy Distillation ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction Naturalistic measure of social norms alignment Articulatory strategy as a source of variation in acoustic vowel dynamics When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning Cultural Adaptation in Large Language Models for Political Discourse Emotion Recognition in Sign Language Conversation ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning DART: Semantic Recoverability for Structured Tool Agents Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems Parallel Context Compaction for Long-Horizon LLM Agent Serving
Game Changers: Designing and Measuring Dynamic Feedback T...
[Submitted on 25 Jun 2026] · 2026-06-26 · via cs updates on arXiv.org

View PDF HTML (experimental)

Abstract:The way games dynamically convey information through feedback is critical to players' ability to perform, learn, and improve. However, it is poorly understood how performance metrics impact player performance and perception in core game tasks like pointing or steering. With a virtual reality pointing task we systematically explored how three performance metrics driving the feedback affected players when rewarding short completion times, straight movements, or high peak speed. across different points in time - continuously, at end-of-action, or at end-of-task. On average the dynamic feedback helped people point more straight and faster, while for others it had small or opposite effect. The study quantitatively compared dynamic feedback across three forms with the metrics driving the form as the intended locus of quantitative comparison. Our work improves game designers basis for crafting dynamic feedback by helping them know when to employ feedback schemes that align with desirable game performance objectives.

Submission history

From: Hendrik Knoche [view email]
[v1] Thu, 25 Jun 2026 12:02:25 UTC (2,529 KB)