AI knowledge: Improving AI delegation through human enablement

M Pinski, M Adam, A Benlian - Proceedings of the 2023 CHI conference …, 2023 - dl.acm.org
When collaborating with artificial intelligence (AI), humans can often delegate tasks to
leverage complementary AI competencies. However, humans often delegate inefficiently …

Xair: A framework of explainable ai in augmented reality

X Xu, A Yu, TR Jonker, K Todi, F Lu, X Qian… - Proceedings of the …, 2023 - dl.acm.org
Explainable AI (XAI) has established itself as an important component of AI-driven
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …

ConvXAI: Delivering heterogeneous AI explanations via conversations to support human-AI scientific writing

H Shen, CY Huang, T Wu, THK Huang - Companion Publication of the …, 2023 - dl.acm.org
Despite a surge collection of XAI methods, users still struggle to obtain required AI
explanations. Previous research suggests chatbots as dynamic solutions, but the effective …

Collaborating with a text-based chatbot: An exploration of real-world collaboration strategies enacted during human-chatbot interactions

A Rapp, A Boldi, L Curti, A Perrucci… - Proceedings of the 2023 …, 2023 - dl.acm.org
A central problem for chatbots in the customer care domain revolves around how people
collaborate with the agent to achieve their own situated goals. The majority of the previous …

“Listen to Music, Listen to Yourself”: Design of a Conversational Agent to Support Self-Awareness While Listening to Music

W Cai, Y Jin, X Zhao, L Chen - Proceedings of the 2023 CHI Conference …, 2023 - dl.acm.org
Music can affect the human brain and cognition. Melodies and lyrics that resonate with us
can awaken our inner feelings and thoughts; being in touch with these feelings and …

How do people ascribe humanness to chatbots? An analysis of real-world human-agent interactions and a theoretical model of humanness

A Rapp, A Boldi, L Curti, A Perrucci… - International Journal of …, 2024 - Taylor & Francis
A central problem in text-based chatbot research revolves around humanness: not only
chatbots may reproduce fundamental aspects of being human, but also users may attribute …

Knownet: Guided health information seeking from llms via knowledge graph integration

Y Yan, Y Hou, Y Xiao, R Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The increasing reliance on Large Language Models (LLMs) for health information seeking
can pose severe risks due to the potential for misinformation and the complexity of these …

[HTML][HTML] Conversation-based hybrid UI for the repertory grid technique: A lab experiment into automation of qualitative surveys

Y Liu, JB Martens - International Journal of Human-Computer Studies, 2024 - Elsevier
A frequent use of conversational user interfaces (CUIs) today is improving the users'
experience with online quantitative surveys. In this paper, we explore the use of CUIs in …

“As an AI language model, I cannot”: Investigating LLM Denials of User Requests

J Wester, T Schrills, H Pohl, N van Berkel - Proceedings of the CHI …, 2024 - dl.acm.org
Users ask large language models (LLMs) to help with their homework, for lifestyle advice, or
for support in making challenging decisions. Yet LLMs are often unable to fulfil these …

Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users

T Mildner, O Cooney, AM Meck, M Bartl… - Proceedings of the CHI …, 2024 - dl.acm.org
Advances in natural language processing and understanding have led to a rapid growth in
the popularity of conversational user interfaces (CUIs). While CUIs introduce novel benefits …