A model for managing interactions between tangible and virtual agents on an RFID interactive tabletop: Case study in traffic simulation

Abstract

Please cite this article in press as: Y. Lebrun et al., A model for managing interactions between tangible and virtual agents on an RFID interactive tabletop: case study in traffic simulation, J. Comput. System Sci. (2015), http://dx. AbstractInteractive tables are more frequently being suggested to support collaborative and co-localized applications. They can be tactile, tangible or mixed. New sensory entries enable users to manipulate different types of tangible objects. The purpose of this article is to propose a global interaction model that associates multiagent system concepts with interactive table entities. The model incorporates simultaneously usable entities: virtual and tangible entities. The virtual entities can be seen through video projection or the use of a screen integrated into the interactive table. The tangible entities are physical objects that can be manipulated by one or more users around the table. These objects are detected through dedicated sensors. A case study illustrates the proposal. The study incorporates the management of a road traffic simulator using the TangiSense interactive table; this table is equipped with RFID technology. The illustrations mainly show communication between the different agents involved in the simulation.

Internet of Tangible Things (IoTT): Challenges and Opportunities for Tangible Interaction with IoT

“…Results of the meta-analysis. Type T1 T2 T3 T4 T5 T6 T7 T8 TangiSense (Traffic) [50] System, no user evaluation X X X Active Forms [52] Theoretical X X X X AwareKit [53] System, user evaluation X X X X X CapNFC [45] System, no user evaluation X X X X Cognitive Objects [54] Theoretical X X X X Smart-home environment [55] System, user evaluation X X X TANGerINE [56] System, no user evaluation X X X X Expressing Intent [57] System, no user evaluation X X X X X VoxBox [43] System, user evaluation X X X X Invisible connections [44] Theoretical, user interviews X X X X IoT Owl [58] System, no user evaluation X X X Iyagi [59] System, no user evaluation X X TangiSense (Kitchen) [60] System, user evaluation X X Projected interfaces [61] System, no user evaluation X X X X RapIoT [62] Toolkit X X T4Tags [63] Toolkit, end-user insights X X X X X Technology Individuation [42] Theoretical, analysis of user-evaluated systems X X X X X X X Tiles [64] Toolkit X X X X X Total: 18 papers 4 theoretical, 3 toolkits, 11 systems. 7 papers include user insights 13 10 1 12 11 11 7 4 From the table, it is possible to notice that the most cited property is T1, with 13 occurrences out of 18 articles, while T3, i.e., exploring persistency of tangible interfaces, is the less mentioned (in only one paper and marginally).…”

The Stroop and Reverse Stroop Effects as Measured by an Interactive Tabletop

“…Tabletops have a large surface for interaction (Manches, O'Malley, & Benford, 2009, Fitzmaurice, Ishii, & Buxton, 1995 and mostly propose virtual objects manipulations. TangiSence is equipped with Radio Frequency IDentification (RFID; Finkenzeller, 2003) which also permits tangible (Ishii, & Ullmer, 1997) objects detection (Lebrun, Adam, Mandiau, & Kolski, 2015;Baudisch, Becker, & Rudeck, 2010;Jordà, Geiger, Alonso, & Kaltenbrunner, 2007). We can also note that some new research aims to propose distributed interface using interactive tabletops (Jetter, Zöllner, Gerken, & Reiterer, 2012;Lepreux, Kubicki, Kolski, & Caelen, 2012;Kolski et al, 2014).Given the multidimensional aspects, concerns regarding interference are relevant, as perceptual and conceptual conflicts could impact user performance (Hapeshi & Jones, 1992).…”

Experimenting the Impact of Pedestrianisation on Urban Pollution Using Tangible Agent-Based Simulations: Application to Hoan Kiem District, Hanoi, Vietnam

“…(i) the simulation, representing the virtual world and its (spatial) evolution; it should be able to manage inputs from the user, modify the virtual world in accordance and take into account these modifications in future computation. (ii) controllers, that are devices controlled by the user to modify the simulations or sensors perceiving some modifications made in the environment by the user; examples include 3D Kinect camera (to detect modifications in a physical environment, such as a sandbox) [31,38], physical objects with RFID tags [17,20], Lego blocks [2,13] or application on tablet [10,19]. (iii) physical objects, that can be a simple 3D map of the virtual environment used as a screen to display the simulation [2, 10, 13, 27] 9 , a fully modifiable environment (as a Sandbox [38], that works also as a controller, through the camera), or a set of physical objects representing elements in the simulation and that the user can manipulate (e.g.…”