Statistical significance testing at chi play: Challenges and opportunities for more transparency
Statistical Significance Testing--or Null Hypothesis Significance Testing (NHST)--is common
to quantitative CHI PLAY research. Drawing from recent work in HCI and psychology …
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 …
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 …
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 …
understanding of reinforcement learning (RL) agents. We investigate both a common RL …
[HTML][HTML] Combining gaze and AI planning for online human intention recognition
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 …
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 …
AI? To gain insights into this question, we conducted a 124-participant, four-treatment …
Classifying attention types with thermal imaging and eye tracking
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 …
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 …
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
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 …
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
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 …
games. We present “Shed Some Fear”, a 2D platform game including numerous eye-gaze …