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Attention-Sensitive Alerting (1998) [136 citations — 19 self]

by Eric Horvitz ,  Andy Jacobs ,  David Hovel
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Abstract:

We introduce utility-directed procedures for mediating the flow of potentially distracting alerts and communications to computer users. We present models and inference procedures that balance the context-sensitive costs of deferring alerts with the cost of interruption. We describe the challenge of reasoning about such costs under uncertainty via an analysis of user activity and the content of notifications. After introducing principles of attention-sensitive alerting, we focus on the problem of guiding alerts about email messages. We dwell on the problem of inferring the expected criticality of email and discuss work on the Priorities system, centering on prioritizing email by criticality and modulating the communication of notifications to users about the presence and nature of incoming email. 1 Introduction Multitasking computer systems provide great value to users by hosting numerous processes and applications simultaneously. However, the ongoing execution of mu...

Citations

5044 Statistical Learning Theory – Vapnik - 1998
1053 Text Categorization with Support Vector Machines: Learning with Many Relevant Features – Joachims - 1998
874 The magical number seven, plus or minus two: Some limits on our capacity to process information – Miller - 1956
547 Empirical analysis of predictive algorithms for collaborative filtering – Breese, Heckerman, et al. - 1998
544 Fast training of support vector machines using sequential minimal optimization. Advances in kernel methods – support vector learning – Platt - 1998
347 Inductive learning algorithms and representations for text categorization – Dumais, Platt, et al. - 1998
317 Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods – Platt - 2000
259 Toward optimal feature selection – Koller, Sahami - 1996
240 K.: The lumiere project: Bayesian user modeling for inferring the goals and needs of software users – Horvitz, Breese, et al. - 1998
236 A Bayesian approach to filtering junk e-mail – Sahami, Dumais, et al. - 1998
199 Principles of mixed-initiative user interfaces – Horvitz - 1999
111 What makes interruptions disruptive? A study of length, similarity, and complexity – Gillie, Broadbent - 1989
83 An example-based mapping method for text categorization and retrieval – Yang, Chute - 1994
82 Learning limited dependence Bayesian classifiers – Sahami - 1996
82 Primary memory – Waugh, Norman - 1965
65 Display of information for time-critical decision making – Horvitz, Barry - 1995
37 Time Dependent Utility and Action Under Uncertainty – Horvitz, Rutledge - 1991
20 Visualizing implicit queries for information management and retrieval – Czerwinski, Dumais, et al. - 1999
11 Die wiederaufnahme unterbrochener handlungen – Ovsiankina - 1928
8 Time-Critical Action: Representations and Application – Horvitz, Seiver - 1997
7 On the role of interference in short-term retention – Posner, Konick - 1966
4 An agent that assists web browsing – Leiberman - 1995
2 Task Interruption – Bergan - 1968
2 Inductive learning algorithms and representations for text categorization – Lewis - 1994