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20112021
most citedFast and Robust Hand Tracking Using Detection-Guided Optimization

238 citations · 814 across the 22 of their papers we have counts for

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14 papers · 1 filter

cs.HC2021

Toward AI Assistants That Let Designers Design

Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski

AI for supporting designers needs to be rethought. It should aim to cooperate, not automate, by supporting and leveraging the creativity and problem-solving of designers. The chall…

cs.HC2021★ 90 cited

Adapting User Interfaces with Model-based Reinforcement Learning

Kashyap Todi, Gilles Bailly, Luis A. Leiva +1

Adapting an interface requires taking into account both the positive and negative effects that changes may have on the user. A carelessly picked adaptation may impose high costs to…

cs.HC2021★ 12 cited

Improving Artificial Teachers by Considering How People Learn and Forget

Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz +1

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. Wher…

cs.HC2021★ 81 cited

Understanding Visual Saliency in Mobile User Interfaces

Luis A. Leiva, Yunfei Xue, Avya Bansal +4

For graphical user interface (UI) design, it is important to understand what attracts visual attention. While previous work on saliency has focused on desktop and web-based UIs, mo…

cs.HC2020★ 5 cited

Human Strategic Steering Improves Performance of Interactive Optimization

Fabio Colella, Pedram Daee, Jussi Jokinen +2

A central concern in an interactive intelligent system is optimization of its actions, to be maximally helpful to its human user. In recommender systems for instance, the action is…

cs.HC2020

Foraging-based Optimization of Menu Systems

Niraj Ramesh Dayama, Morteza Shiripour, Antti Oulasvirta +2

Computational design of menu systems has been solved in limited cases such as the linear menu (list) as an assignment task, where commands are assigned to menu positions while opti…

cs.HC2020★ 2 cited

Press'Em: Simulating Varying Button Tactility via FDVV Models

Yi-Chi Liao, Sunjun Kim, Byungjoo Lee +1

Push-buttons provide rich haptic feedback during a press via mechanical structures. While different buttons have varying haptic qualities, few works have attempted to dynamically r…

cs.HC2020★ 24 cited

Button Simulation and Design via FDVV Models

Yi-Chi Liao, Sunjun Kim, Byungjoo Lee +1

Designing a push-button with desired sensation and performance is challenging because the mechanical construction must have the right response characteristics. Physical simulation…

cs.HC2020★ 34 cited

Optimal Sensor Position for a Computer Mouse

Sunjun Kim, Byungjoo Lee, Thomas van Gemert +1

Computer mice have their displacement sensors in various locations (center, front, and rear). However, there has been little research into the effects of sensor position or on engi…

cs.HC2020★ 63 cited

GRIDS: Interactive Layout Design with Integer Programming

Niraj Dayama, Kashyap Todi, Taru Saarelainen +1

Grid layouts are used by designers to spatially organise user interfaces when sketching and wireframing. However, their design is largely time consuming manual work. This is challe…

cs.HC2019★ 16 cited

SAM: A Modular Framework for Self-Adapting Web Menus

Camille Gobert, Kashyap Todi, Gilles Bailly +1

This paper presents SAM, a modular and extensible JavaScript framework for self-adapting menus on webpages. SAM allows control of two elementary aspects for adapting web menus: (1)…

cs.HC2018★ 53 cited

AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time

Seonwook Park, Christoph Gebhardt, Roman Rädle +8

Developing cross-device multi-user interfaces (UIs) is a challenging problem. There are numerous ways in which content and interactivity can be distributed. However, good solutions…

cs.HC2017★ 56 cited

Inferring Cognitive Models from Data using Approximate Bayesian Computation

Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes +3

An important problem for HCI researchers is to estimate the parameter values of a cognitive model from behavioral data. This is a difficult problem, because of the substantial comp…

cs.HC2016★ 1 cited

AutoGain: Gain Function Adaptation with Submovement Efficiency Optimization

Byungjoo Lee, Mathieu Nancel, Sunjun Kim +1

A well-designed control-to-display gain function can improve pointing performance with indirect pointing devices like trackpads. However, the design of gain functions is challengin…