Defining human-AI teaming the human-centered way: a scoping review and network analysis
Introduction With the advancement of technology and the increasing utilization of AI, the
nature of human work is evolving, requiring individuals to collaborate not only with other …
nature of human work is evolving, requiring individuals to collaborate not only with other …
The disagreement problem in explainable machine learning: A practitioner's perspective
As various post hoc explanation methods are increasingly being leveraged to explain
complex models in high-stakes settings, it becomes critical to develop a deeper …
complex models in high-stakes settings, it becomes critical to develop a deeper …
Human-centered explainable ai (xai): From algorithms to user experiences
QV Liao, KR Varshney - arXiv preprint arXiv:2110.10790, 2021 - arxiv.org
In recent years, the field of explainable AI (XAI) has produced a vast collection of algorithms,
providing a useful toolbox for researchers and practitioners to build XAI applications. With …
providing a useful toolbox for researchers and practitioners to build XAI applications. With …
Preparing future designers for human-ai collaboration in persona creation
This paper presents findings from an exploratory study investigating the use of AI text-
generation tools to support novice designers in persona creation. We conducted a workshop …
generation tools to support novice designers in persona creation. We conducted a workshop …
AI Assistance for UX: A Literature Review Through Human-Centered AI
Recent advancements in HCI and AI research attempt to support user experience (UX)
practitioners with AI-enabled tools. Despite the potential of emerging models and new …
practitioners with AI-enabled tools. Despite the potential of emerging models and new …
uxSense: Supporting user experience analysis with visualization and computer vision
Analyzing user behavior from usability evaluation can be a challenging and time-consuming
task, especially as the number of participants and the scale and complexity of the evaluation …
task, especially as the number of participants and the scale and complexity of the evaluation …
Human-LLM collaborative annotation through effective verification of LLM labels
Large language models (LLMs) have shown remarkable performance across various natural
language processing (NLP) tasks, indicating their significant potential as data annotators …
language processing (NLP) tasks, indicating their significant potential as data annotators …
“It Feels Like Being Locked in A Cage”: Understanding Blind or Low Vision Streamers' Perceptions of Content Curation Algorithms
Blind or low vision (BLV) people were recently reported to be live streamers on the online
platforms that employed content curation algorithms. Recent research uncovered perceived …
platforms that employed content curation algorithms. Recent research uncovered perceived …
[HTML][HTML] AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0
E Alberti, S Alvarez-Napagao, V Anaya, M Barroso… - Systems, 2024 - mdpi.com
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0
is a new phase of industrialization that places the worker at the center of the production …
is a new phase of industrialization that places the worker at the center of the production …
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning
Recently, there has been a surge of explainable AI (XAI) methods driven by the need for
understanding machine learning model behaviors in high-stakes scenarios. However …
understanding machine learning model behaviors in high-stakes scenarios. However …