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

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

collaborators
Showing 2020Show all

7 papers · 1 filter

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.AI2020★ 7 cited

Hierarchical Reinforcement Learning as a Model of Human Task Interleaving

Christoph Gebhardt, Antti Oulasvirta, Otmar Hilliges

How do people decide how long to continue in a task, when to switch, and to which other task? Understanding the mechanisms that underpin task interleaving is a long-standing goal i…