Video Guestbook

Capture and retrieval of corporate visitor information

FXPAL’s Video Guestbook promotes organizational knowledge and awareness of corporate visitors.

The “capture” component of the system includes an agent-based conversational interface running on a touch screen display (to greet visitors), a business card scanner (to capture visitors’ details), a video camera (to capture visitors’ faces) plus microphone (to capture pronunciation of visitors’ names). After visitor data has been captured, a “recommender” component monitors employees’ email and web use to recommend relevant guestbook entries at the time of need. For instance, an employee reading an email message regarding a corporate partner could receive more detailed contact information regarding past visits from that corporate partner.

With existing contact systems (e.g., email programs, business card scanners and electronic rolodexes, corporate directories, and relationship management software) users must typically shift their attention from tasks they are performing to the contact system itself in order to look-up contacts. In contrast, the Video Guestbook system proactively recommends contacts based on the users’ current context, e.g. email message or web page, and presents results in a manner that does not disrupt their tasks, but which allows them to access contact details with a single interaction. The approach has promoted both recall and discovery of new contacts. This work has evolved into the PAL Bar contextual retrieval service.

The Video Guestbook has also been incorporated into our Corporate Memory system.

Technical Contact

Related Publications

2006
Publication Details
  • The 15th International World Wide Web Conference (WWW2006)
  • May 23, 2006

Abstract

Close
In a landmark article, over a half century ago, Vannevar Bush envisioned a "Memory Extender" device he dubbed the "memex". Bush's ideas anticipated and inspired numerous breakthroughs, including hypertext, the Internet, the World Wide Web, and Wikipedia. However, despite these triumphs, the memex has still not lived up to its potential in corporate settings. One reason is that corporate users often don't have sufficient time or incentives to contribute to a corporate memory or to explore others' contributions. At FXPAL, we are investigating ways to automatically create and retrieve useful corporate memories without any added burden on anyone. In this paper we discuss how ProjectorBox a smart appliance for automatic presentation capture and PAL Bar a system for proactively retrieving contextually relevant corporate memories have enabled us to integrate content from a variety of sources to create a cohesive multimedia corporate memory for our organization.
2005

Improving Proactive Information Systems

Publication Details
  • International Conference on Intelligent User Interfaces (IUI 2005)
  • Jan 9, 2005

Abstract

Close
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such systems are becoming increasingly popular, but designing user interfaces that effectively communicate recommended information is a challenge: the interface must be unobtrusive, yet communicate enough information at the right time to provide value to the user. In this paper we describe our experience with the FXPAL Bar, a proactive information system designed to provide contextual access to corporate and personal resources. In particular, we present three features designed to communicate proactive recommendations more effectively: translucent recommendation windows increase the user's awareness of particularly highly-ranked recommendations, query term highlighting communicates the relationship between a recommended document and the user's current context, and a novel recommendation digest function allows users to return to the most relevant previously recommended resources. We present empirical evidence supporting our design decisions and relate lessons learned for other designers of contextual recommendation systems.
2004

Contextual Contact Retrieval

Publication Details
  • International Conference on Intelligent User Interfaces (IUI 2004)
  • Jan 13, 2004

Abstract

Close
People routinely rely on physical and electronic systems to remind themselves of details regarding personal and organizational contacts. These systems include rolodexes, directories and contact databases. In order to access details regarding contacts, users must typically shift their attention from tasks they are performing to the contact system itself in order to manually look-up contacts. This paper presents an approach for automatically retrieving contacts based on users' current context. Results are presented to users in a manner that does not disrupt their tasks, but which allows them to access contact details with a single interaction. The approach promotes the discovery of new contacts that users may not have found otherwise and supports serendipity.