Augmented Memory for Conference Attendees
Andrea Schweer, Annika Hinze · Research Commons (University of Waikato) · 2007
Abstract. Human memory at its best can perform astonishing feats { the tiniest snippet of information can trigger whole chains of associations, ending at an item long-believed forgotten. While modern information sys-tems excel at systematic manipulation of structured or semi-structured information or even vast repositories of unstructured textual information, they are still far from these capabilities. Unfortunately, human memory is also prone to failure. Thus, a per-sonal information system that augments human memory through suit-able means to store and access information could have huge benets. In this paper, we introduce a problem domain for research on such a sys-tem: researchers who attend academic conferences and need to remember names, aliations and research interests of fellow conference attendees and many other types of information. Academic interest in wearable, context-aware systems for information display and capture has strongly increased in the last few years. We present an overview of existing sys-tems and point out unresolved issues. We show that resolving these issues will not only make it possible to build improved augmented memory sys-tems but will also contribute to research in a wider context. Finally, we outline our agenda for research in this area.