Motion platforms are used to increase the realism of virtual interaction. Unfortunately, their size and weight is proportional to the size of what they actuate. We present haptic turk, a different approach to motion platforms that is light and mobile. The key idea is to replace motors and mechanical components with humans. All haptic turk setups consist of a player who is supported by one or more turkers. The player enjoys an interactive experience, such as a flight simulation. The motion in the player's experience is generated by the turkers who manually lift, tilt, and push the player's limbs or torso. To get the timing and force right, timed motion instructions in a format familiar from rhythm games are displayed on turkers' mobile devices, which they attach to the player's body. We demonstrate a range of installations based on mobile phones, projectors, and head-mounted displays. In our user study, participants rated not only the experience as player as enjoyable (6.1/7), but also the experience as a turker (4.4/7). The approach of leveraging humans allows us to deploy our approach anytime anywhere, as we demonstrate by experimentally deploying at an art festival in the Nevada desert.

We introduce the concept of tangibles that users can manipulate with their feet. We call them kickables. Unlike traditional tangibles, kickables allow for very large interaction surfaces as kickables reside on the ground. The main benefit of kickables over other foot-based modalities, such as foot touch, is their strong affordance, which we validate in two user studies. This affordance makes kickables well-suited for walk-up installations, such as tradeshows or museum exhibits.

We propose using spatial gestures not only for input but also for output. Analogous to gesture input, the proposed gesture output moves the user's finger in a gesture, which the user then recognizes. We use our concept in a mobile scenario where a motion path forming a "5" informs users about new emails, or a heart-shaped path serves as a mes- sage from a friend. We built two prototypes: (1) The long- RangeOuija is a stationary prototype that offers a motion range of up to 4cm; (2) The pocketOuija is self-contained mobile device based on an iPhone with up to 1cm motion range. Both devices actuate the user's fingers by means of an actuated transparent foil overlaid onto a touchscreen. We conducted three studies with the longRangeOuija in which participants recognized 2cm marks with 97% accu- racy, Graffiti digits with 98.8%, pairs of Graffiti digits with 90.5%, and Graffiti letters with 93.4%. Participants previ- ously unfamiliar with Graffiti identified 96.2% of digits and 76.4% of letters, suggesting that properly designed gesture output is guessable. After the experiment, the same participants were able to enter 100% of Graffiti digits by heart and 92.2% of letters. This suggests that participants learned gesture input as a side effect of using gesture output on our prototypes.

Security has recently become a very important concern for entities using IPv6 networks. This is especially true with the recent news reports where governments and companies have admitted to credible cyber attacks against them in which confidential information and the security of data have been compromised. In this paper we will introduce a flexible framework that can be used for penetration testing of IPv6 networks. Due to the large address space in each of the IPv6 subnets, the traditional scanning approaches do not work. Here we introduce our new scanning algorithm which will find the IPv6 nodes on the Internet which are using Domain Name System (DNS) servers. Our implementation results showed that the use of the DNS Security Extension (DNSSEC) with NSEC3 [4], which is a new and promising approach for the prevention of zone walking, was not able to prevent us from gathering information about nodes on different networks.