Axis- plus Content-based Control for Camera Drones: Design and Evaluation of User Interface Concepts

It takes movie camera operators years of professional training to follow an object in an aesthetically pleasing way, both by classical means (boom, slider) and by drones. As this complex task requires a high workload and situation awareness while controlling the camera, an uncluttered and efficient user interface (UI) is preferred. The emergence of mobile devices and motion control devices incorporating automation made touch-based UIs attractive to operators. Much work has already been done on UI adaptation strategies. However, little work is trying to solve the problem of combining manual control and automation within a UI. Especially with a central premise of minimising occlusion and visual clutter in a cinematic context. We, therefore, conducted a first user study (N=15) to evaluate different design alternatives regarding occlusion and preference. Afterwards, we created a functional prototype of the most promising design. To further reduce the occlusion we applied a progressive reduction adaption strategy. We evaluated the influence of different reduction levels on workload, control, creativity support and precision in a second user study (N=24). While we could reduce the clutter, due to our design decisions we found no negative effects affecting the measured variables.

[1]  Andreas Butz,et al.  On the Effects of Progressive Reduction as Adaptation Strategy for a Camera-Based Cinematographic User Interface , 2017, INTERACT.

[2]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[3]  Andreas Butz,et al.  TrackLine: Refining touch-to-track Interaction for Camera Motion Control on Mobile Devices , 2017, INTERACT.

[4]  Celine Latulipe,et al.  Quantifying the Creativity Support of Digital Tools through the Creativity Support Index , 2014, ACM Trans. Comput. Hum. Interact..

[5]  Hing Yee Eng,et al.  Visual working memory for simple and complex visual stimuli. , 2010, Psychonomic bulletin & review.

[6]  Sandra G. Hart,et al.  Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .

[7]  Andreas Butz,et al.  You've Got the Moves, We've Got the Motion - Understanding and Designing for Cinematographic Camera Motion Control , 2017, INTERACT.

[8]  Aaron Springer,et al.  Progressive Disclosure , 2020, ACM Trans. Interact. Intell. Syst..

[9]  Kristian Sandberg,et al.  The development of a sense of control scale , 2015, Front. Psychol..

[10]  Tovi Grossman,et al.  The design and evaluation of multitouch marking menus , 2010, CHI.

[11]  David Salesin,et al.  Declarative Camera Control for Automatic Cinematography , 1996, AAAI/IAAI, Vol. 1.

[12]  Jianhui Chen,et al.  Autonomous Camera Systems: A Survey , 2014, WICED@AAAI.

[13]  David B. Kaber,et al.  Out‐of‐the‐loop performance problems and the use of intermediate levels of automation for improved control system functioning and safety , 1997 .