Workshop 1: "Issues, Models and Tools"

November 10, 2004 

9:45

Opening

9:50 - 11:20

Session 1: Information Sharing

    9:50 - 10:50
    Keynote Talk

    Slides

From "Anywhere, Anytime, Anyone"  to "The right Information at the right Time, in the right Place, in the right Way to the right Person" 
Gerhard Fischer (University of Colorado, USA)

Abstract.RFID technologies offer opportunities and risks. This presentation will argue that the true challenges transcend the development of the technology itself but will create new social contexts, will raise numerous ethical issues (e.g., privacy), will lead to new divisions of labor, and will redefine the role of humans in socio-technical environments. The presentation will specifically explore that the scare resource in the envisioned socio-technical environments will not be information per se, but human attention.

Short bio. Gerhard Fischer (http://www.cs.colorado.edu/~gerhard/) is a Professor of Computer Science, a Fellow of the Institute of Cognitive Science, and the Director of the Center for Lifelong Learning and Design (L3D) at the University of Colorado at Boulder. His research is focused on new conceptual frameworks and new media for learning, working, and collaboration; human-computer interaction; cognitive science; distributed intelligence; social creativity; design; meta-design; domain-oriented design environments; and universal design (assistive technologies). Over the last twenty years, he has directed research projects and has published extensively in these areas. More information about the L3D Center can be found at: http://www.cs.colorado.edu/~l3d/.

  

    10:50 - 11:20

    Paper
    Slides

TANGO: Supporting Vocabulary Learning with RFID tags.
Hiroaki Ogata, Ryo Akamatsu, Hiroyuki Mitsuhara, Yoneo Yano, Kenji Matsuura, Kazuhide Kanenishi, Yasuo Miyoshi, and Tomiaki Morikawa (Tokushima University, Japan)

Abstract. This paper describes a computer-assisted language learning (CALL) in a ubiquitous computing environment. The environment, called TANGO (Tag Added learNinG Objects) system, detects the objects around the learner using RFID (Radio Frequency Identification) tags, and provides the learner the right information for language learning. This system supports learning in daily life with PDA (personal digital assistant) beyond web based education with desk-top computers. In the experiment, the learner played the game of TANGO, and was very interested in this system.

11:20 - 13:00

Lunch

13:00-14:30

Session 2: Privacy Issues 1

    13:00- 14:00
    Keynote Talk
RFID: opportunities and risks
Frank Stajano (University of Cambridge, UK)

Abstract. Making RFID tags as ubiquitous as barcodes will enable machines to see and recognize any tagged object in their vicinity, better than they ever could with the smartest image processing algorithms. This opens many opportunities for "sentient computing" applications. However, in so far as the new capability has some of the properties of X-ray vision, this also opens the door to many potential abuses. With a view towards stimulating workshop discussion, I won't elaborate on technological solutions; instead I present a simple security policy model that addresses most privacy objections. Playing devil's advocate, I also indicate why it is unlikely that consumers will enjoy the RFID privacy they often vociferously demand.

Short bio. Frank Stajano is a faculty member at the Computer Laboratory of the University of Cambridge, where he holds the ARM Lectureship in Ubiquitous Computing Systems. He is a member of the Security group and of the Technology group; he also teaches in the department of Engineering. His book, _Security for Ubiquitous Computing_ (Wiley, 2002), is highly regarded as a clear and authoritative introduction to his main field of research. Before his academic appointments Dr Stajano worked as a research scientist in the R&D labs of AT&T, Toshiba, Oracle and Olivetti. He retains strong links with industry and is frequently in demand as a security consultant or invited lecturer.

  

    14:00 - 14:30

    Slides

  

Aspects of Privacy for RFID Systems
Sozo Inoue (Kyushu University, Japan)

  

14:30 - 15:00

Break

15:00 - 16:00

Session 3: Privacy Issues 2

    15:00 - 15:30
    Invited Talk
Scanning with a Purpose -- Supporting the Fair Information Principles in RFID protocols
Christian Floerkemeier (ETH Zurich, Switzerland)

Abstract. Today's RFID protocols that govern the communication between RFID readers and tags are solely optimized for performance, but fail to address consumer privacy concerns by supporting the fair information practices appropriately. In this paper we propose a feature set that future privacy-aware RFID protocols should include in order to support the fair information principles at the lowest possible level -- the air interface between readers and tags -- and demonstrate that the performance impact of such an extension would be within acceptable limits. We also outline how this feature set would allow consumer interest groups and privacy-concerned individuals to judge whether an RFID reader deployment complies with the corresponding regulations through the use of a watchdog tag.

Short bio. Christian Floerkemeier holds a Ba and MEng degree from Cambridge University in the UK and is currently a research assistant in the distributed systems group at the Institute for Pervasive Computing at ETH Zurich. As part of the industry sponsored research program M-Lab, he was involved in the design and implementation of various RFID based applications. He is also member of the research staff at the Auto-ID Lab in Switzerland. As author of the Auto-ID Center mark-up language PML Core, he has been involved in the standardization effort at the Auto-ID Center for the past three years.

    15:30 - 16:00

    Paper
    Slides

  

Personal Privacy Assistants for RFID Users
Shin'ichi Konomi (University of Colorado, USA)

Abstract. Creating a usable system to maintain the right level of privacy is an inherently difficult problem. Personal privacy assistants (PPA) are mobile appliances that help RFID users assess and control privacy risks by supporting awareness of privacy risks and suggesting relevant actions. This paper discusses requirements and architecture of personal privacy assistants. 

  

16:00 - 16:05

Closing

16:05 - 17:00

Free Discussions


Workshop 2

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