Exploring challenges and opportunities to support designers in learning to co-create with AI-based manufacturing design tools

F Gmeiner, H Yang, L Yao, K Holstein… - Proceedings of the 2023 …, 2023 - dl.acm.org
AI-based design tools are proliferating in professional software to assist engineering and
industrial designers in complex manufacturing and design tasks. These tools take on more …

The role of shared mental models in human-AI teams: a theoretical review

RW Andrews, JM Lilly, D Srivastava… - Theoretical Issues in …, 2023 - Taylor & Francis
Mental models are knowledge structures employed by humans to describe, explain, and
predict the world around them. Shared Mental Models (SMMs) occur in teams whose …

The programmer's assistant: Conversational interaction with a large language model for software development

SI Ross, F Martinez, S Houde, M Muller… - Proceedings of the 28th …, 2023 - dl.acm.org
Large language models (LLMs) have recently been applied in software engineering to
perform tasks such as translating code between programming languages, generating code …

Toward general design principles for generative AI applications

JD Weisz, M Muller, J He, S Houde - arXiv preprint arXiv:2301.05578, 2023 - arxiv.org
Generative AI technologies are growing in power, utility, and use. As generative
technologies are being incorporated into mainstream applications, there is a need for …

How ai developers overcome communication challenges in a multidisciplinary team: A case study

D Piorkowski, S Park, AY Wang, D Wang… - Proceedings of the …, 2021 - dl.acm.org
The development of AI applications is a multidisciplinary effort, involving multiple roles
collaborating with the AI developers, an umbrella term we use to include data scientists and …

Towards human-ai teaming to mitigate alert fatigue in security operations centres

M Baruwal Chhetri, S Tariq, R Singh… - ACM Transactions on …, 2024 - dl.acm.org
Security Operations Centres (SOCs) play a pivotal role in defending organisations against
evolving cyber threats. They function as central hubs for detecting, analysing, and …

Using perceptual and cognitive explanations for enhanced human-agent team performance

MA Neerincx, J van der Waa, F Kaptein… - … Conference, EPCE 2018 …, 2018 - Springer
Most explainable AI (XAI) research projects focus on well-delineated topics, such as
interpretability of machine learning outcomes, knowledge sharing in a multi-agent system or …

[PDF][PDF] 智能时代的工程心理学

许为, 葛列众 - 心理科学进展, 2020 - researchgate.net
摘要智能技术为智能时代的工程心理学研究和应用提供了新的机遇. 为此, 系统提出了智能时代
工程心理学的工作框架. 该工作框架包括工程心理学研究和应用的对象, 核心问题空间 …

AI challenges in human-robot cognitive teaming

T Chakraborti, S Kambhampati, M Scheutz… - arXiv preprint arXiv …, 2017 - arxiv.org
Among the many anticipated roles for robots in the future is that of being a human teammate.
Aside from all the technological hurdles that have to be overcome with respect to hardware …

[PDF][PDF] Toward Genuine Robot Teammates: Improving Human-Robot Team Performance Using Robot Shared Mental Models.

F Gervits, D Thurston, R Thielstrom, T Fong, Q Pham… - Aamas, 2020 - hrilab.tufts.edu
Robots are uniquely suited to performing dull, dirty, or dangerous tasks that can complement
and enhance the work that humans do. As a result, they are increasingly needed to serve as …