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Real-time 3d target inference via biomechanical simulation
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 …
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
Sustainable development is a problem-solving method that simultaneously accounts for the
economic, environmental, and social impacts of actions. Decision-makers have recently …
economic, environmental, and social impacts of actions. Decision-makers have recently …
Towards AI-Mediated Avatar-Based Telecommunication: Investigating Visual Impression of Switching Between User-and AI-Controlled Avatars in Video Chat
Telecommunications technology has evolved rapidly, creating opportunities to diversify the
communication culture through AI mediation. We anticipate that people will interchangeably …
communication culture through AI mediation. We anticipate that people will interchangeably …
Towards flexible and robust user interface adaptations with multiple objectives
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 …
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 …
principles for interactive products. Conventional methods like static slides and lectures often …
Pareto optimal layouts for adaptive mixed reality
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 …
they are used to provide a smooth experience for different users and environments. This …
Cooperative multi-objective Bayesian design optimization
Computational methods can potentially facilitate user interface design by complementing
designer intuition, prior experience, and personal preference. Framing a user interface …
designer intuition, prior experience, and personal preference. Framing a user interface …
A Meta-Bayesian Approach for Rapid Online Parametric Optimization for Wrist-based Interactions
Wrist-based input often requires tuning parameter settings in correspondence to between-
user and between-session differences, such as variations in hand anatomy, wearing …
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 …
Nowadays, the traditional workflow of designers' completing complicated design tasks has
undergone a profound transformation due to the pervasive intervention of generative …
undergone a profound transformation due to the pervasive intervention of generative …
Practical approaches to group-level multi-objective Bayesian optimization in interaction technique design
Designing interaction techniques for end-users often involves exploring vast design spaces
while balancing many objectives. Bayesian optimization offers a principled human-in-the …
while balancing many objectives. Bayesian optimization offers a principled human-in-the …