Title
Using linguistic features to measure presence in computer-mediated communication
Abstract
We propose a method of measuring people's sense of presence in computer-mediated communication (CMC) systems) based on linguistic features of their dialogues. We create variations in presence by asking participants to collaborate on physical tasks in four CMC conditions. We then correlate self-reported feelings of presence with the use of specific linguistic features. Regression analyses show that 30% of the variance in self-reported presence can be accounted for by a small number of task-independent linguistic features. Even better prediction can be obtained when self-reported coordination is added to the regression equation. We conclude that linguistic measures of presence have value for studies of CMC.
Year
DOI
Venue
2006
10.1145/1124772.1124907
CHI
Keywords
Field
DocType
computer-mediated communication,task-independent linguistic feature,linguistic feature,linguistic measure,self-reported feeling,self-reported presence,self-reported coordination,specific linguistic feature,cmc condition,regression equation,regression analysis,computer mediated communication,discourse analysis
Regression,Computer science,Regression analysis,Discourse analysis,Computer-mediated communication,Sense of presence,Multimedia,Linguistics,Feeling
Conference
ISBN
Citations 
PageRank 
1-59593-372-7
18
1.33
References 
Authors
10
3
Name
Order
Citations
PageRank
Adam D. I. Kramer120413.91
Lui Min Oh2634.85
Susan R. Fussell32266208.15