[HTML][HTML] Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction

X Hao, E Demir, D Eyers - Technology in Society, 2024 - Elsevier
This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into
decision-making processes within organizations, employing a quasi-experimental pretest …

[HTML][HTML] Intelligent systems in healthcare: A systematic survey of explainable user interfaces

J Cálem, C Moreira, J Jorge - Computers in Biology and Medicine, 2024 - Elsevier
With radiology shortages affecting over half of the global population, the potential of artificial
intelligence to revolutionize medical diagnosis and treatment is ever more important …

[HTML][HTML] Large language models meet user interfaces: The case of provisioning feedback

S Pozdniakov, J Brazil, S Abdi, A Bakharia… - … and Education: Artificial …, 2024 - Elsevier
Abstract Incorporating Generative Artificial Intelligence (GenAI), especially Large Language
Models (LLMs), into educational settings presents valuable opportunities to boost the …

(A) I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice

I Cheong, K Xia, KJK Feng, QZ Chen… - The 2024 ACM …, 2024 - dl.acm.org
Large language models (LLMs) are increasingly capable of providing users with advice in a
wide range of professional domains, including legal advice. However, relying on LLMs for …

Bridging the Gulf of envisioning: Cognitive design challenges in LLM interfaces

H Subramonyam, R Pea, CL Pondoc… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) exhibit dynamic capabilities and appear to comprehend
complex and ambiguous natural language prompts. However, calibrating LLM interactions is …

Beyond chatbots: Explorellm for structured thoughts and personalized model responses

X Ma, S Mishra, A Liu, SY Su, J Chen… - Extended Abstracts of …, 2024 - dl.acm.org
Large language model (LLM) powered chatbots are primarily text-based today, and impose
a large interactional cognitive load, especially for exploratory or sensemaking tasks such as …

User intent recognition and satisfaction with large language models: A user study with chatgpt

A Bodonhelyi, E Bozkir, S Yang, E Kasneci… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid evolution of large language models such as GPT-4 Turbo represents an impactful
paradigm shift in digital interaction and content engagement. While these models encode …

Using LLMs to investigate correlations of conversational follow-up queries with user satisfaction

H Kim, Y Choi, T Yang, H Lee, C Park, Y Lee… - arXiv preprint arXiv …, 2024 - arxiv.org
With large language models (LLMs), conversational search engines shift how users retrieve
information from the web by enabling natural conversations to express their search intents …

Exploring the AI–Human Interface for Personalized Learning in a Chemical Context

TM Clark, N Tafini - Journal of Chemical Education, 2024 - ACS Publications
This study investigates how students use ChatGPT to enhance their understanding of atomic
symbolism, specifically the number of protons, neutrons, and electrons in an isotope …

Bridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMs

H Subramonyam, R Pea, C Pondoc… - Proceedings of the CHI …, 2024 - dl.acm.org
Large language models (LLMs) exhibit dynamic capabilities and appear to comprehend
complex and ambiguous natural language prompts. However, calibrating LLM interactions is …