Predicting human interruptibility with sensors

ACM Transactions on Computer-Human Interaction

Volumn 12, Issue 1, 2005, Pages 119-146

  Fogarty, James ^a,b   Hudson, Scott E ^a   Atkeson, Christopher G ^a   Avrahami, Daniel ^a   Forlizzi, Jodi ^a   Kiesler, Sara ^a   Lee, Johnny C ^a   Yang, Jie ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

Author keywords

Context aware computing; Machine learning; Managing human attention; Sensor based interfaces; Situationally appropriate interaction

Indexed keywords

CONTEXT-AWARE COMPUTING; MANAGING HUMAN ATENTION; SENSOR BASED INTERFACES; SITUATIONALLY APPROPRIATE INTERACTION;

COMMUNICATION SYSTEMS; HUMAN COMPUTER INTERACTION; INFORMATION ANALYSIS; INTERFACES (COMPUTER); LEARNING SYSTEMS; MATHEMATICAL MODELS;

SENSORS;

EID: 18844407586     PISSN: 10730516     EISSN: None     Source Type: Journal    
DOI: 10.1145/1057237.1057243     Document Type: Article

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