Integration of natural language processing, self-service platforms, predictive maintenance, and prescriptive analytics for cost reduction, personalization, and real-time …

MR Khatri - International Journal of Information and …, 2023 - publications.dlpress.org
Businesses are constantly seeking innovative ways to improve customer service and
operational efficiency. Natural Language Processing (NLP) and Artificial Intelligence (AI) …

Grasping AI: experiential exercises for designers

D Murray-Rust, ML Lupetti, I Nicenboim, W Hoog - AI & SOCIETY, 2023 - Springer
Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the
functioning of physical and digital products, creating unprecedented opportunities for …

From human-centered to social-centered artificial intelligence: Assessing ChatGPT's impact through disruptive events

S Wang, N Cooper, M Eby - Big Data & Society, 2024 - journals.sagepub.com
Large language models (LLMs) and dialogue agents represent a significant shift in artificial
intelligence (AI) research, particularly with the recent release of the GPT family of models …

Explaining autonomous decisions in swarms of human-on-the-loop small unmanned aerial systems

A Agrawal, J Cleland-Huang - Proceedings of the AAAI Conference on …, 2021 - ojs.aaai.org
Abstract Rapid advancements in Artificial Intelligence have shifted the focus from traditional
human-directed robots to fully autonomous ones that do not require explicit human control …

AI trust score: A user-centered approach to building, designing, and measuring the success of intelligent workplace features

J Wang, A Moulden - Extended Abstracts of the 2021 CHI Conference on …, 2021 - dl.acm.org
This paper describes how to help product teams move increasingly towards responsible AI
experiences by examining user trust within business contexts. We discuss the development …

Understanding mental models of AI through player-AI interaction

J Villareale, J Zhu - arXiv preprint arXiv:2103.16168, 2021 - arxiv.org
Designing human-centered AI-driven applications require deep understandings of how
people develop mental models of AI. Currently, we have little knowledge of this process and …

Are data-driven personas considered harmful?: Diversifying user understandings with more than algorithms

J Salminen, S Jung, BJ Jansen - Persona Studies, 2021 - search.informit.org
In this work, we build on research on data-driven personas to present what might be" wrong
with them". From wrong assumptions by the client and wrong applications of methods to …

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

L Sun, Z Li, Z Zhou, S Lou, W Li, Y Zhang - AI EDAM, 2023 - cambridge.org
With the increasing utilization of machine learning (ML) to enhance products' capabilities,
the design research community has begun to explore how to support the conceptual design …

Crossing the Tepper line: An emerging ontology for describing the dynamic sociality of embodied AI

K Seaborn, P Pennefather, N Miyake… - Extended Abstracts of …, 2021 - dl.acm.org
Artificial intelligences (AI) are increasingly being embodied and embedded in the world to
carry out tasks and support decision-making with and for people. Robots, recommender …

Underlying Factors of Technology Acceptance and User Experience of Machine Learning Functions in Accounting Software: A Qualitative Content Analysis

C Cristofoli, T Clemmensen - International Conference on Human …, 2023 - Springer
This research examines which factors influence users' technology acceptance (TA) and user
experience (UX) of machine learning (ML) functions in accounting software. Although the …