Search Results for author: Antti Oulasvirta

Found 14 papers, 3 papers with code

Modeling human road crossing decisions as reward maximization with visual perception limitations

no code implementations27 Jan 2023 Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen, Antti Oulasvirta, Gustav Markkula

Interestingly, our model's decisions are sensitive to not only the time gap, but also the speed of the approaching vehicle, something which has been described as a "bias" in human gap acceptance behavior.

Reinforcement Learning (RL)

Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques

no code implementations15 Apr 2022 Liwei Chan, Yi-Chi Liao, George B. Mo, John J. Dudley, Chun-Lien Cheng, Per Ola Kristensson, Antti Oulasvirta

Designers reportedly struggle with design optimization tasks where they are asked to find a combination of design parameters that maximizes a given set of objectives.

Bayesian Optimization

Adapting User Interfaces with Model-based Reinforcement Learning

no code implementations11 Mar 2021 Kashyap Todi, Gilles Bailly, Luis A. Leiva, Antti Oulasvirta

Adapting an interface requires taking into account both the positive and negative effects that changes may have on the user.

Model-based Reinforcement Learning reinforcement-learning +1

Improving Artificial Teachers by Considering How People Learn and Forget

1 code implementation8 Feb 2021 Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta

The paper presents a novel model-based method for intelligent tutoring, with particular emphasis on the problem of selecting teaching interventions in interaction with humans.

Understanding Visual Saliency in Mobile User Interfaces

no code implementations22 Jan 2021 Luis A. Leiva, Yunfei Xue, Avya Bansal, Hamed R. Tavakoli, Tuğçe Köroğlu, Niraj R. Dayama, Antti Oulasvirta

For graphical user interface (UI) design, it is important to understand what attracts visual attention.

Human Strategic Steering Improves Performance of Interactive Optimization

1 code implementation4 May 2020 Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski

To verify this hypothesis, that humans steer and are able to improve performance by steering, we designed a function optimization task where a human and an optimization algorithm collaborate to find the maximum of a 1-dimensional function.

Recommendation Systems

GRIDS: Interactive Layout Design with Integer Programming

1 code implementation9 Jan 2020 Niraj Dayama, Kashyap Todi, Taru Saarelainen, Antti Oulasvirta

Grid layouts are used by designers to spatially organise user interfaces when sketching and wireframing.

Layout Design

Inferring Cognitive Models from Data using Approximate Bayesian Computation

no code implementations2 Dec 2016 Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta

An important problem for HCI researchers is to estimate the parameter values of a cognitive model from behavioral data.

Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input

no code implementations16 Oct 2016 Srinath Sridhar, Franziska Mueller, Michael Zollhöfer, Dan Casas, Antti Oulasvirta, Christian Theobalt

However, due to difficult occlusions, fast motions, and uniform hand appearance, jointly tracking hand and object pose is more challenging than tracking either of the two separately.

Object Tracking

Fast and Robust Hand Tracking Using Detection-Guided Optimization

no code implementations CVPR 2015 Srinath Sridhar, Franziska Mueller, Antti Oulasvirta, Christian Theobalt

In the optimization step, a novel objective function combines the detected part labels and a Gaussian mixture representation of the depth to estimate a pose that best fits the depth.

Pose Estimation

Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model

no code implementations11 Feb 2016 Srinath Sridhar, Helge Rhodin, Hans-Peter Seidel, Antti Oulasvirta, Christian Theobalt

In this paper, we propose a new approach that tracks the full skeleton motion of the hand from multiple RGB cameras in real-time.

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