Towards Leaning Aware Interaction with Multi-touch Tabletops
Paper i proceeding, 2016

Interactive tabletops allow direct touch manipulation and recognizing simultaneous touch events. Users sometimes lean on the touch surface creating unintended touch input. Our work demonstrates how this unintended input can be employed to enhance interaction. In a study we develop a posture set organized into four classes. We present a vision-based machine-learning algorithm using an active shape model to recognize the classes. The algorithm categorizes lean gestures into one of the classes for interaction purposes. In a second study, we evaluate the model and propose interaction scenarios that use lean detection.

tabletop interaction

interactive surface

active shape models

Leaning

lean recognition

Författare

Khanh Duy Le

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

M. Paknezhad

National University of Singapore

Pawel Wozniak

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

M. Azh

National University of Singapore

Gabriele Kasparaviciute

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

Morten Fjeld

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

S. D. Zhao

National University of Singapore

M.S. Brown

National University of Singapore

9th Nordic Conference on Human-Computer Interaction, NordiCHI 2016, Gothenburg, Sweden, 23-27 October 2016

a4

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Människa-datorinteraktion (interaktionsdesign)

DOI

10.1145/2971485.2971553

ISBN

978-1-4503-4763-1