Real-time 3d target inference via biomechanical simulation

HS Moon, YC Liao, C Li, B Lee… - Proceedings of the 2024 …, 2024 - dl.acm.org
Selecting a target in a 3D environment is often challenging, especially with small/distant
targets or when sensor noise is high. To facilitate selection, target-inference methods must …

An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective

SM Mousavi, K Sadeghi R, LS Lee - Journal of Business Analytics, 2023 - Taylor & Francis
Sustainable development is a problem-solving method that simultaneously accounts for the
economic, environmental, and social impacts of actions. Decision-makers have recently …

Towards flexible and robust user interface adaptations with multiple objectives

CA Johns, JM Evangelista Belo, AM Feit… - Proceedings of the 36th …, 2023 - dl.acm.org
This paper proposes a new approach for online UI adaptation that aims to overcome the
limitations of the most commonly used UI optimization method involving multiple objectives …

[PDF][PDF] Exploring the Impact of Learning Technologies in Teaching Interaction Design: A Case Study at First Technical University, Nigeria

D Olugbade - Journal of Education and Practice, 2023 - researchgate.net
Teaching interaction design poses unique challenges as it requires discussing design
principles for interactive products. Conventional methods like static slides and lectures often …

Pareto optimal layouts for adaptive mixed reality

CA Johns, JM Evangelista Belo, CN Klokmose… - Extended Abstracts of …, 2023 - dl.acm.org
Adaptive mixed reality applications adjust their user interfaces based on the context in which
they are used to provide a smooth experience for different users and environments. This …

Cooperative multi-objective Bayesian design optimization

G Mo, J Dudley, L Chan, YC Liao, A Oulasvirta… - ACM Transactions on …, 2024 - dl.acm.org
Computational methods can potentially facilitate user interface design by complementing
designer intuition, prior experience, and personal preference. Framing a user interface …

A Meta-Bayesian Approach for Rapid Online Parametric Optimization for Wrist-based Interactions

YC Liao, R Desai, AM Pierce, KE Taylor… - Proceedings of the …, 2024 - dl.acm.org
Wrist-based input often requires tuning parameter settings in correspondence to between-
user and between-session differences, such as variations in hand anatomy, wearing …

Exploring designers' perceptions and practices of collaborating with generative AI as a co-creative agent in a multi-stakeholder design process: Take the domain of …

Q He, W Zheng, H Bao, R Chen, X Tong - Proceedings of the Eleventh …, 2023 - dl.acm.org
Nowadays, the traditional workflow of designers' completing complicated design tasks has
undergone a profound transformation due to the pervasive intervention of generative …

Practical approaches to group-level multi-objective Bayesian optimization in interaction technique design

YC Liao, GB Mo, JJ Dudley, CL Cheng… - Collective …, 2024 - journals.sagepub.com
Designing interaction techniques for end-users often involves exploring vast design spaces
while balancing many objectives. Bayesian optimization offers a principled human-in-the …