%0 Conference Proceedings
%T TrackLine: Refining touch-to-track Interaction for Camera Motion Control on Mobile Devices
%+ Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München (LMU)
%A Hoesl, Axel
%A Aragon Bartsch, Sarah
%A Butz, Andreas
%Z Part 4: Information on Demand, on the Move, and Gesture Interaction
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Bombay, India
%Y Regina Bernhaupt
%Y Girish Dalvi
%Y Anirudha Joshi
%Y Devanuj K. Balkrishan
%Y Jacki O'Neill
%Y Marco Winckler
%I Springer International Publishing
%3 Human-Computer Interaction - INTERACT 2017
%V LNCS-10514
%N Part II
%P 283-292
%8 2017-09-25
%D 2017
%R 10.1007/978-3-319-67684-5_17
%K Camera motion
%K Motion control
%K Image-based control
%K User interface
%K User-centered design
%Z Computer Science [cs]Conference papers
%X Controlling a film camera to follow an actor or object in an aesthetically pleasing way is a highly complex task, which takes professionals years to master. It entails several sub-tasks, namely (1) selecting or identifying and (2) tracking the object of interest, (3) specifying the intended location in the frame (e.g., at 1/3 or 2/3 horizontally) and (4) timing all necessary camera motions such that they appear smooth in the resulting footage. Traditionally, camera operators just controlled the camera directly or remotely and practiced their motions in several repeated takes until the result met their own quality criteria. Automated motion control systems today assist with the timing and tracking sub-tasks, but leave the other two to the camera operator using input methods such as touch-to-track, which still present challenges in timing and coordination. We designed a refined input method called TrackLine which decouples target and location selection and adds further automation with even improved control. In a first user study controlling a virtual camera, we compared TrackLine to touch-to-track and traditional joystick control and found that the results were objectively both more accurate and more easily achieved, which was also confirmed by the subjective ratings of our participants.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01678427/document
%2 https://inria.hal.science/hal-01678427/file/421760_1_En_17_Chapter.pdf
%L hal-01678427
%U https://inria.hal.science/hal-01678427
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-10514