My Own Private Kiosk: Privacy-Preserving Public Displays

Eaddy, Marc; Blasko, G.; Babcock, Jason S.; Feiner, Steven

doi:10.1109/iswc.2004.32

Cited by 21 publications

(10 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1) Content hiding methods. E G (Eaddy et al 2004) used a near-eye HMD to provide a navigation service that delivers secret and private navigation information augmented on a public map display. Because the E G display is practically secret, shoulder sur ng is prevented.…”

Section: Threats Tomentioning

confidence: 99%

Security and Privacy Approaches in Mixed Reality

2019

View full text Add to dashboard Cite

and Data 61, CSIRO KANCHANA THILAKARATHNA, University of Sydney and Data 61, CSIRO ARUNA SENEVIRATNE, University of New South Wales and Data 61, CSIRO Mixed reality (MR) technology development is now gaining momentum due to advances in computer vision, sensor fusion, and realistic display technologies. With most of the research and development focused on delivering the promise of MR, there is only barely a few working on the privacy and security implications of this technology. is survey paper aims to put in to light these risks, and to look into the latest security and privacy work on MR. Speci cally, we list and review the di erent protection approaches that have been proposed to ensure user and data security and privacy in MR. We extend the scope to include work on related technologies such as augmented reality (AR), virtual reality (VR), and human-computer interaction (HCI) as crucial components, if not the origins, of MR, as well as numerous related work from the larger area of mobile devices, wearables, and Internet-of-ings (IoT). We highlight the lack of investigation, implementation, and evaluation of data protection approaches in MR. Further challenges and directions on MR security and privacy are also discussed. 2 works from Scopus by separately searching for AR/VR/MR works with security and privacy from Google Scholar, IEEE Xplore, ACM Digital Library, and other speci c venues covering computer vision, human-machine interfaces, and other related technologies. Previous Surveys and Meta-analysesEarly surveys on AR and MR, have been focused on categorizing the existing technologies then. In 1994, a taxonomy for classifying mixed reality displays based on the user-interface -from monitor-based video displays to completely immersive environments -were presented and these devices were plo ed along a reality-virtuality continuum . On the other hand, in contrast to this one-dimensional continuum, two di erent classi cations for mixed reality were also presented: (1) a two-dimensional categorization of shared space or collaborative mixed reality technologies according to concepts of transportation 1 and arti ciality 2 , and (2) a one-dimensional classi cation based on spatiality 3 (Benford et al. 1996).Succeeding endeavours have focused on collecting all relevant technologies necessary to AR and VR. e various early challenges -such as matching the real and virtual displays, aligning the virtual objects with the real world, and the various errors that needs to be addressed such as optical distortion, misalignment, and tracking -have been discussed in broad (Azuma 1997). It was complemented with a following survey that focuses on the enabling technologies, interfacing, and visualization (Azuma et al. 2001). A much more recent survey updated the existing challenges to the following: performance, alignment, interaction, mobility, and visualization (Rabbi and Ullah 2013). Another one looked into a speci c type of AR, mobile AR, and looked into the di erent technologies that enable mobility with AR (Chatzopoulos et a...

show abstract

Section: Threats Tomentioning

confidence: 99%

Security and Privacy Approaches in Mixed Reality

2019

View full text Add to dashboard Cite

show abstract

“…They are very flexible as they allow the participants to move freely in front of the display, when a tracking algorithm is used to detect the display a person wants to interact with. However, they still require calibration to a stationary display [4].…”

Section: Gaze-based Interactionmentioning

confidence: 99%

Collaborative Newspaper

Lander

Speicher

Paradowski

et al. 2015

Proceedings of the 4th International Symposium on Pervasive Displays

View full text Add to dashboard Cite

Digital content, like news presented on screens at public places (e.g., subway stations) is pervasive. Usually it is not possible for passers-by to conveniently interact with such public displays, as content is not interactive or responsive. Especially news screens are normally showing one news article after another, reducing the amount of information fitting the screen dimensions. In this paper we developed a collaborative newspaper application based on an adaptive scrolling algorithm, that manages scrolling of the same content for several users simultaneously. We are using head-mounted eye trackers to track people's gaze on the screen and detect their reading positions. Thus we offer the possibility to display news texts which are larger than the screen height, as the system automatically adapts the text scrolling to the person's reading behavior. In a user study with fifteen participants we investigated how the scrolling algorithm affects the reading speed of people in single-and multi-user scenarios. Further we evaluated the work load while using the system. The results show that the adaptive scrolling algorithm does not negatively influence the reading speed, neither in single-nor in a multi-user reading scenario.

show abstract

“…Other work has focused on low-cost extension of public displays for gaze pointing however still requires a calibration phase prior to interaction [16]. Contrasting extension of display, EyeGuide [3] explored use of a wearable eye tracking for interaction with pervasive displays. In contrast, our focus is on enabling interaction with public display without any instrumentation of the user.…”

Section: Eye-based Interactionmentioning

confidence: 99%

SideWays

Zhang

Bulling

Gellersen

2013

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Eye gaze is compelling for interaction with situated displays as we naturally use our eyes to engage with them. In this work we present SideWays, a novel person-independent eye gaze interface that supports spontaneous interaction with displays: users can just walk up to a display and immediately interact using their eyes, without any prior user calibration or training. Requiring only a single off-the-shelf camera and lightweight image processing, SideWays robustly detects whether users attend to the centre of the display or cast glances to the left or right. The system supports an interaction model in which attention to the central display is the default state, while "sidelong glances" trigger input or actions. The robustness of the system and usability of the interaction model are validated in a study with 14 participants. Analysis of the participants' strategies in performing different tasks provides insights on gaze control strategies for design of SideWays applications.

show abstract

My Own Private Kiosk: Privacy-Preserving Public Displays

Cited by 21 publications

References 12 publications

Security and Privacy Approaches in Mixed Reality

Security and Privacy Approaches in Mixed Reality

Collaborative Newspaper

SideWays

Contact Info

Product

Resources

About