Copertina

Need Help? Designing Proactive AI Assistants for Programming

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Valerie, Zhu, Alan, Zhao, Sebastian, Mozannar, Hussein, Sontag, David, Talwalkar, Ameet
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CodingGenie: A Proactive LLM-Powered Programming Assistant
di: Zhao, Sebastian, et al.
Pubblicazione: (2025)

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
di: Mozannar, Hussein, et al.
Pubblicazione: (2024)

Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption
di: Yu, Rebecca, et al.
Pubblicazione: (2025)

When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback
di: Pan, Jane, et al.
Pubblicazione: (2025)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
di: Mozannar, Hussein, et al.
Pubblicazione: (2023)

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
di: Mozannar, Hussein, et al.
Pubblicazione: (2022)

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
di: Mozannar, Hussein, et al.
Pubblicazione: (2023)

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

Navigating Rifts in Human-LLM Grounding: Study and Benchmark
di: Shaikh, Omar, et al.
Pubblicazione: (2025)

Design Implications for Student and Educator Needs in AI-Supported Programming Learning Tools
di: Ma, Boxuan, et al.
Pubblicazione: (2026)

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
di: Johnson, Nari, et al.
Pubblicazione: (2023)

Learning Personalized Decision Support Policies
di: Bhatt, Umang, et al.
Pubblicazione: (2023)

ArticulatePro: A Comparative Study on a Proactive and Non-Proactive Assistant in a Climate Data Exploration Task
di: Tabalba, Roderick, et al.
Pubblicazione: (2024)

Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models
di: Du, Huifang, et al.
Pubblicazione: (2024)

Thinking Assistants: LLM-Based Conversational Assistants that Help Users Think By Asking rather than Answering
di: Park, Soya, et al.
Pubblicazione: (2023)

Developer Interaction Patterns with Proactive AI: A Five-Day Field Study
di: Kuo, Nadine, et al.
Pubblicazione: (2026)

ProVoice: Designing Proactive Functionality for In-Vehicle Conversational Assistants using Multi-Objective Bayesian Optimization to Enhance Driver Experience
di: Susak, Josh, et al.
Pubblicazione: (2026)

Developer Needs and Feasible Features for AI Assistants in IDEs
di: Sergeyuk, Agnia, et al.
Pubblicazione: (2024)

Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
di: Zastudil, Cynthia, et al.
Pubblicazione: (2025)

Desirable Characteristics for AI Teaching Assistants in Programming Education
di: Denny, Paul, et al.
Pubblicazione: (2024)

When LLMs Help -- and Hurt -- Teaching Assistants in Proof-Based Courses
di: Mahinpei, Romina, et al.
Pubblicazione: (2026)

ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agent
di: Zhao, Yuheng, et al.
Pubblicazione: (2025)

Overseeing Agents Without Constant Oversight: Challenges and Opportunities
di: Grunde-McLaughlin, Madeleine, et al.
Pubblicazione: (2026)

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
di: Pu, Kevin, et al.
Pubblicazione: (2025)

Evolution of Programmers' Trust in Generative AI Programming Assistants
di: Shah, Anshul, et al.
Pubblicazione: (2025)

Modulating Language Model Experiences through Frictions
di: Collins, Katherine M., et al.
Pubblicazione: (2024)

Acceptability of AI Assistants for Privacy: Perceptions of Experts and Users on Personalized Privacy Assistants
di: Xu, Meihe, et al.
Pubblicazione: (2025)

After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona Interactions
di: Xuan, Ziyi, et al.
Pubblicazione: (2026)

Design Contradictions: Help or Hindrance?
di: Owen, Aron E., et al.
Pubblicazione: (2024)

AI Chatbots or Human Therapists? Belief-Based Predictors of Mental Health Help-Seeking Intentions in the Age of Generative AI
di: Park, Junsang, et al.
Pubblicazione: (2025)

Satori: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling
di: Li, Chenyi, et al.
Pubblicazione: (2024)

LLAMAPIE: Proactive In-Ear Conversation Assistants
di: Chen, Tuochao, et al.
Pubblicazione: (2025)

Evaluation and Continual Improvement for an Enterprise AI Assistant
di: Maharaj, Akash V., et al.
Pubblicazione: (2024)

Walkthrough of Anthropomorphic Features in AI Assistant Tools
di: Maeda, Takuya
Pubblicazione: (2025)

User Misconceptions of LLM-Based Conversational Programming Assistants
di: O'Brien, Gabrielle, et al.
Pubblicazione: (2025)

The Goldilocks Time Window for Proactive Interventions in Wearable AI Systems
di: Fang, Cathy Mengying, et al.
Pubblicazione: (2025)

The Benefits of Prosociality towards AI Agents: Examining the Effects of Helping AI Agents on Human Well-Being
di: Zhu, Zicheng, et al.
Pubblicazione: (2025)

Help Supporters: Exploring the Design Space of Assistive Technologies to Support Face-to-Face Help Between Blind and Sighted Strangers
di: Teng, Yuanyang, et al.
Pubblicazione: (2024)

SARA: Smart AI Reading Assistant for Reading Comprehension
di: Thaqi, Enkeleda, et al.
Pubblicazione: (2024)

Mirai: A Wearable Proactive AI "Inner-Voice" for Contextual Nudging
di: Fang, Cathy Mengying, et al.
Pubblicazione: (2025)