TY - GEN
T1 - Context-centric proactive information delivery
AU - Fan, Xiaocong
AU - Yen, John
AU - Wang, Rui
AU - Sun, Shuang
AU - Volz, Richard A.
PY - 2004
Y1 - 2004
N2 - Delivering only those information relevant to the needs of teammates is critical for avoiding information overload. Need-driven proactive information delivery has thus been widely investigated in diverse areas spanning from psychology, AI, to Web-based services. CAST, a team-oriented agent architecture, realized proactive information delivery as a built-in agent behavior, which is derived by the capability of anticipating others' information-needs based on a computational shared mental model. However, the first implementation of CAST is limited in managing the dynamic activation and deactivation of teammates ' information-needs. This paper addresses this issue by proposing a novel mechanism for organizing and managing the "context" of information-needs, which facilitates information-needs to be activated and deactivated dynamically. We evaluate the proposed approach by comparing its performance with agent teams using only reactive communications (e.g., ask/reply) and with the original CAST agent teams.
AB - Delivering only those information relevant to the needs of teammates is critical for avoiding information overload. Need-driven proactive information delivery has thus been widely investigated in diverse areas spanning from psychology, AI, to Web-based services. CAST, a team-oriented agent architecture, realized proactive information delivery as a built-in agent behavior, which is derived by the capability of anticipating others' information-needs based on a computational shared mental model. However, the first implementation of CAST is limited in managing the dynamic activation and deactivation of teammates ' information-needs. This paper addresses this issue by proposing a novel mechanism for organizing and managing the "context" of information-needs, which facilitates information-needs to be activated and deactivated dynamically. We evaluate the proposed approach by comparing its performance with agent teams using only reactive communications (e.g., ask/reply) and with the original CAST agent teams.
UR - http://www.scopus.com/inward/record.url?scp=16244393075&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:16244393075
SN - 0769521010
SN - 9780769521015
T3 - Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004
SP - 31
EP - 37
BT - Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Systems. IAT 2004
A2 - Zhong, N.
A2 - Bradshaw, J.
A2 - Pal, S.K.
A2 - Talia, D.
A2 - Liu, J.
A2 - Cercone, N.
T2 - Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004
Y2 - 20 September 2004 through 24 September 2004
ER -