Statistical significance testing at chi play: Challenges and opportunities for more transparency

JB Vornhagen, A Tyack, ED Mekler - Proceedings of the annual …, 2020 - dl.acm.org
Statistical Significance Testing--or Null Hypothesis Significance Testing (NHST)--is common
to quantitative CHI PLAY research. Drawing from recent work in HCI and psychology …

Shared gaze visualizations in collaborative interactions: Past, present and future

S D'angelo, B Schneider - Interacting with Computers, 2021 - ieeexplore.ieee.org
The past decade has witnessed a growing interest for using dual eye tracking to understand
and support remote collaboration, especially with studies that have established the benefits …

Inferring trust from users' behaviours; agents' predictability positively affects trust, task performance and cognitive load in human-agent real-time collaboration

S Daronnat, L Azzopardi, M Halvey… - Frontiers in Robotics and …, 2021 - frontiersin.org
Collaborative virtual agents help human operators to perform tasks in real-time. For this
collaboration to be effective, human operators must appropriately trust the agent (s) they are …

Explaining reinforcement learning to mere mortals: An empirical study

A Anderson, J Dodge, A Sadarangani… - arXiv preprint arXiv …, 2019 - arxiv.org
We present a user study to investigate the impact of explanations on non-experts'
understanding of reinforcement learning (RL) agents. We investigate both a common RL …

[HTML][HTML] Combining gaze and AI planning for online human intention recognition

R Singh, T Miller, J Newn, E Velloso, F Vetere… - Artificial Intelligence, 2020 - Elsevier
Intention recognition is the process of using behavioural cues, such as deliberative actions,
eye gaze, and gestures, to infer an agent's goals or future behaviour. In artificial intelligence …

Mental models of mere mortals with explanations of reinforcement learning

A Anderson, J Dodge, A Sadarangani… - ACM Transactions on …, 2020 - dl.acm.org
How should reinforcement learning (RL) agents explain themselves to humans not trained in
AI? To gain insights into this question, we conducted a 124-participant, four-treatment …

Classifying attention types with thermal imaging and eye tracking

Y Abdelrahman, AA Khan, J Newn, E Velloso… - Proceedings of the …, 2019 - dl.acm.org
Despite the importance of attention in user performance, current methods for attention
classification do not allow to discriminate between different attention types. We propose a …

An eye for design: gaze visualizations for remote collaborative work

S D'Angelo, D Gergle - Proceedings of the 2018 CHI Conference on …, 2018 - dl.acm.org
In remote collaboration, gaze visualizations are designed to display where collaborators are
looking in a shared visual space. This type of gaze-based intervention can improve …

Learners learn more and instructors track better with real-time gaze sharing

G Sung, T Feng, B Schneider - Proceedings of the ACM on Human …, 2021 - dl.acm.org
Shared gaze visualizations, where the real-time gaze location of group members is shared
with one another, have become increasingly studied over the last decade by HCI …

Effects of a Gaze-Based 2D Platform Game on User Enjoyment, Perceived Competence, and Digital Eye Strain

M Colley, B Wanner, M Rädler, M Rötzer… - Proceedings of the CHI …, 2024 - dl.acm.org
Gaze interaction is a promising interaction method to increase variety, challenge, and fun in
games. We present “Shed Some Fear”, a 2D platform game including numerous eye-gaze …