Alexander Meschtscherjakov
Christine Döttlinger
ABSTRACT
LEDs on a strip, when turned on and off in a specific order, result in the perception of apparent motion (i.e. beta movement). In the automotive domain such chase lights have been used to alter drivers' perception of driving speed by manipulating the pixel speed of LEDs. We argue that the perceived velocity of beta movement in the peripheral view is not only based on the actual pixel speed but can be influenced by other factors such as frequency, width and brightness of lit LED segments. We conducted a velocity matching experiment (N=25) by systematically varying these three properties, in order to determine their influence on a participant's perceived velocity in a vehicle mock-up. Results show that a higher frequency and stronger brightness increased perceived velocity, whereas segment width had no influence. We discuss how findings may be applied when designing systems that use beta movement to influence the perception of ambient light velocity.
- Louis Aarons. 1964. Visual apparent movement research: review, 1935--1955, and bibliography, 1955--1963. Perceptual and motor skills 18, 1 (1964), 239--274.Google Scholar
- Robert Ball and Chris North. 2008. The Effects of Peripheral Vision and Physical Navigation on Large Scale Visualization. In Proceedings of Graphics Interface 2008 (GI '08). Canadian Information Processing Society, Toronto, Ont., Canada, Canada, 9--16. http://dl.acm.org/citation.cfm?id=1375714.1375717Google ScholarCross Ref
- Douglas Bates, Martin Maechler, and Ben Bolker. 2012. lme4: Linear mixed-effects models using S4 classes. (2012).Google Scholar
- Jeremy Birnholtz, Lindsay Reynolds, Eli Luxenberg, Carl Gutwin, and Maryam Mustafa. 2010. Awareness Beyond the Desktop: Exploring Attention and Distraction with a Projected Peripheral-vision Display. In Proceedings of Graphics Interface 2010 (GI '10). Canadian Information Processing Society, Toronto, Ont., Canada, Canada, 55--62. http://dl.acm.org/citation.cfm?id=1839214.1839225Google ScholarDigital Library
- Mark R Blakemore and Robert Jefferson Snowden. 1999. The effect of contrast upon perceived speed: a general phenomenon? Perception 28, 1 (1999), 33--48.Google ScholarCross Ref
- Chris Harrison, John Horstman, Gary Hsieh, and Scott Hudson. 2012. Unlocking the Expressivity of Point Lights. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, NY, NY, USA, 1683--1692. DOI: http://dx.doi.org/10.1145/2207676.2208296Google ScholarDigital Library
- Chris Harrison, Zhiquan Yeo, and Scott E. Hudson. 2010. Faster Progress Bars: Manipulating Perceived Duration with Visual Augmentations. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, NY, NY, USA, 1545--1548. DOI: http://dx.doi.org/10.1145/1753326.1753556Google ScholarDigital Library
- Doris Hausen, Christine Wagner, Sebastian Boring, and Andreas Butz. 2013. Comparing Modalities and Feedback for Peripheral Interaction. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13). ACM, NY, NY, USA, 1263--1268. DOI: http://dx.doi.org/10.1145/2468356.2468582Google ScholarDigital Library
- Michael J Hawken, Karl R Gegenfurtner, and Chao Tang. 1994. Contrast dependence of colour and luminance motion mechanisms in human vision. Nature 367, 6460 (1994), 268--270.Google Scholar
- Eugene Hecht. 2002. Optics, 4th. International edition, Addison-Wesley, San Francisco (2002), 467--473.Google Scholar
- Valentin Heun, Anette von Kapri, and Pattie Maes. 2012. Perifoveal Display: Combining Foveal and Peripheral Vision in One Visualization. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12). ACM, NY, NY, USA, 1150--1155. DOI: http://dx.doi.org/10.1145/2370216.2370460Google ScholarDigital Library
- Brett R. Jones, Hrvoje Benko, Eyal Ofek, and Andrew D. Wilson. 2013. IllumiRoom: Peripheral Projected Illusions for Interactive Experiences. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, NY, NY, USA, 869--878. DOI: http://dx.doi.org/10.1145/2470654.2466112Google ScholarDigital Library
- Andreas Löcken, Wilko Heuten, and Susanne Boll. 2015. Supporting Lane Change Decisions with Ambient Light. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '15). ACM, NY, NY, USA, 204--211. DOI: http://dx.doi.org/10.1145/2799250.2799259Google ScholarDigital Library
- Andreas Löcken, Heiko Müller, Wilko Heuten, and Susanne CJ Boll. 2014. Exploring the Design Space of Ambient Light Displays. In CHI '14 Extended Abstracts on Human Factors in Computing Systems (CHI EA '14). ACM, NY, NY, USA, 387--390. DOI: http://dx.doi.org/10.1145/2559206.2574793Google ScholarDigital Library
- Michael P. Manser and Peter A. Hancock. 2007. The influence of perceptual speed regulation on speed perception, choice, and control: Tunnel wall characteristics and influences. Accident Analysis & Prevention, 39 (1) (2007).Google Scholar
- Andrii Matviienko, Andreas Löcken, Abdallah El Ali, Wilko Heuten, and Susanne Boll. 2016. NaviLight: Investigating Ambient Light Displays for Turn-by-turn Navigation in Cars. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '16). ACM, NY, NY, USA, 283--294. DOI: http://dx.doi.org/10.1145/2935334.2935359Google ScholarDigital Library
- Alexander Meschtscherjakov, Christine Döttlinger, Christina Rödel, and Manfred Tscheligi. 2015. ChaseLight: ambient LED stripes to control driving speed. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, 212--219.Google ScholarDigital Library
- Heiko Müller, Andreas Löcken, Wilko Heuten, and Susanne Boll. 2014. Sparkle: An Ambient Light Display for Dynamic Off-screen Points of Interest. In Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational (NordiCHI '14). ACM, NY, NY, USA, 51--60. DOI: http://dx.doi.org/10.1145/2639189.2639205Google ScholarDigital Library
- Takuya Nojima, Yoshihiko Saiga, Yu Okano, Yuki Hashimoto, and Hiroyuki Kajimoto. 2007. The Peripheral Display for Augmented Reality of Self-motion. In Proceedings of the 17th International Conference on Artificial Reality and Telexistence (ICAT '07). IEEE Computer Society, Washington, DC, USA, 308--309. DOI: http://dx.doi.org/10.1109/ICAT.2007.54Google ScholarDigital Library
- Florian Perteneder, Eva-Maria Beatrix Grossauer, Joanne Leong, Wolfgang Stuerzlinger, and Michael Haller. 2016. Glowworms and Fireflies: Ambient Light on Large Interactive Surfaces. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, NY, NY, USA, 5849--5861. DOI: http://dx.doi.org/10.1145/2858036.2858524Google ScholarDigital Library
- Paolo Pretto, Jean-Pierre Bresciani, Gregor Rainer, and Heinrich H Bülthoff. 2012. Foggy perception slows us down. Elife 1 (2012), e00031.Google ScholarCross Ref
- Paolo Pretto and Astros Chatziastros. 2006. Changes in optic flow and scene contrast affect the driving speed. In Driving Simulation Conference Europe (DSC Europe 2006).Google Scholar
- R Core Team. 2015. R: A Language and Environment for Statistical Computing. (2015). https://www.R-project.orgGoogle Scholar
- Robert M Steinman, Zygmunt Pizlo, and Filip J Pizlo. 2000. Phi is not beta, and why Wertheimer's discovery launched the Gestalt revolution. Vision Research 40, 17 (2000), 2257--2264.Google ScholarCross Ref
- Leland S Stone and Peter Thompson. 1992. Human speed perception is contrast dependent. Vision research 32, 8 (1992), 1535--1549.Google Scholar
- Deqing Sun, Stefan Roth, and Michael J Black. 2010. Secrets of optical flow estimation and their principles. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. IEEE, 2432--2439.Google ScholarCross Ref
- Peter Thompson. 1981. Velocity after-effects: the effects of adaptation to moving stimuli on the perception of subsequently seen moving stimuli. Vision research 21, 3 (1981), 337--345.Google Scholar
- Peter Thompson. 1982. Perceived rate of movement depends on contrast. Vision research 22, 3 (1982), 377--380.Google Scholar
- Paul D Tynan and Robert Sekuler. 1982. Motion processing in peripheral vision: Reaction time and perceived velocity. Vision Research 22, 1 (1982), 61--68.Google ScholarCross Ref
- Hanneke Hooft van Huysduynen, Jacques Terken, Alexander Meschtscherjakov, Berry Eggen, and Manfred Tscheligi. 2017. Ambient Light and Its Influence on Driving Experience. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17). ACM, NY, NY, USA, 293--301. DOI: http://dx.doi.org/10.1145/3122986.3122992Google ScholarDigital Library
- Yair Weiss, Eero P Simoncelli, and Edward H Adelson. 2002. Motion illusions as optimal percepts. Nature neuroscience 5, 6 (2002), 598--604.Google Scholar
- Max Wertheimer. 1912. Experimentelle Studien über das Sehen von Bewegung. Zeitschrift für Psychologie. Zeitschrift für Psychologie 61 (1912), 161--265.Google Scholar
- John Michael Williams and Alfred Lit. 1983. Luminance-dependent visual latency for the Hess effect, the Pulfrich effect, and simple reaction time. Vision research 23, 2 (1983), 171--179.Google Scholar
- Samuel J Williamson and Herman Z Cummins. 1983. Light and color in nature and art. Light and Color in Nature and Art, by Samuel J. Williamson, Herman Z. Cummins, pp. 512. ISBN 0--471-08374--7. Wiley-VCH, February 1983. 1 (1983).Google Scholar
- Graham Wilson, Thomas Carter, Sriram Subramanian, and Stephen A. Brewster. 2014. Perception of Ultrasonic Haptic Feedback on the Hand: Localisation and Apparent Motion. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, NY, NY, USA, 1133--1142. DOI: http://dx.doi.org/10.1145/2556288.2557033Google ScholarDigital Library
- Bodo Winter. 2013. A very basic tutorial for performing linear mixed effects analyses. arXiv preprint arXiv:1308.5499 (2013).Google Scholar
- Robert Xiao and Hrvoje Benko. 2016. Augmenting the Field-of-View of Head-Mounted Displays with Sparse Peripheral Displays. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, NY, NY, USA, 1221--1232. DOI: http://dx.doi.org/10.1145/2858036.2858212Google ScholarDigital Library
Index Terms
- Chase Lights in the Peripheral View: How the Design of Moving Patterns on an LED Strip Influences the Perception of Speed in an Automotive Context
Recommendations
Peripheral Popout: The Influence of Visual Angle and Stimulus Intensity on Popout Effects
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing SystemsBy exploiting visual popout effects, interface designers can rapidly draw a user's attention to salient information objects in a display. A variety of different visual stimuli can be used to achieve popout effects, including color, shape, size, motion, ...
Investigating perception time in the far peripheral vision for virtual and augmented reality
SAP '18: Proceedings of the 15th ACM Symposium on Applied PerceptionFar peripheral vision (beyond 60° eccentricity) is beginning to be supported in the latest virtual and augmented reality (VR and AR) headsets. This benefits the VR and AR experiences by allowing a greater amount of information to be conveyed, reducing ...
In-vehicle Visual Search Assistant System Designs Using Driver's Peripheral Vision
AutomotiveUI '16 Adjunct: Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular ApplicationsDrivers' inattention to obstacles on the road is a major cause of traffic accidents, and developing advanced driver assistance system (ADAS) to support the driver's visual search has been a challenge. This is partly due to the complexity of developing ...
Comments