Powering an AI chatbot with expert sourcing to support credible health information access

Z **ao, QV Liao, M Zhou, T Grandison, Y Li - Proceedings of the 28th …, 2023 - dl.acm.org
During a public health crisis like the COVID-19 pandemic, a credible and easy-to-access
information portal is highly desirable. It helps with disease prevention, public health …

A taxonomy for human-llm interaction modes: An initial exploration

J Gao, SA Gebreegziabher, KTW Choo, TJJ Li… - Extended Abstracts of …, 2024 - dl.acm.org
With ChatGPT's release, conversational prompting has become the most popular form of
human-LLM interaction. However, its effectiveness is limited for more complex tasks …

A mixed-methods approach to understanding user trust after voice assistant failures

A Baughan, X Wang, A Liu, A Mercurio… - Proceedings of the 2023 …, 2023 - dl.acm.org
Despite huge gains in performance in natural language understanding via large language
models in recent years, voice assistants still often fail to meet user expectations. In this study …

The bot on speaking terms: the effects of conversation architecture on perceptions of conversational agents

CZ Wei, YH Kim, A Kuzminykh - … of the 5th International Conference on …, 2023 - dl.acm.org
Conversational agents mimic natural conversation to interact with users. Since the
effectiveness of interactions strongly depends on users' perception of agents, it is crucial to …

Enabling personalized VR experiences: a framework for real-time adaptation and recommendations in VR environments

S Valmorisco, L Raya, A Sanchez - Virtual Reality, 2024 - Springer
The personalization of user experiences through recommendation systems has been
extensively explored in Internet applications, but this has yet to be fully addressed in Virtual …

Better to Ask Than Assume: Proactive Voice Assistants' Communication Strategies That Respect User Agency in a Smart Home Environment

J Oh, W Kim, S Kim, H Im, S Lee - … of the 2024 CHI Conference on …, 2024 - dl.acm.org
Proactive voice assistants (VAs) in smart homes predict users' needs and autonomously
take action by controlling smart devices and initiating voice-based features to support users' …

Effects of feature-based explanation and its output modality on user satisfaction with service recommender systems

Z Zhang, L Chen, T Jiang, Y Li, L Li - Frontiers in big Data, 2022 - frontiersin.org
Recent advances in natural language based virtual assistants have attracted more
researches on application of recommender systems (RS) into the service product domain …

[PDF][PDF] VoiceBack: Design of Artificial Intelligence-Driven Voice-Based Feedback System for Customer-Agency Communication in Online Travel Services

AS Edén, P Sandlund, M Faraon, K Rönkkö - Information, 2024 - researchportal.hkr.se
Online travel booking has become increasingly popular; however, most travel websites do
not yet offer voice interaction. This study introduces VoiceBack, an artificial intelligence (AI) …

Seeing us through machines: designing and building conversational ai to understand humans

Z **ao - 2023 - ideals.illinois.edu
Understanding humans at scale is essential for addressing some of the consequential
challenges in human society. By gaining insights into why people act as they do, we can …

Thinking about help systems: analyzing help resources under different dimensions

CS Brezolin, M Silveira - Proceedings of the 21st Brazilian Symposium …, 2022 - dl.acm.org
Online help systems are a fundamental support for users to better understand and master
the different types of software that they need or intend to use. Despite different proposals of …