Paper Info
Title
Which one is me?: Identifying Oneself on Public Displays
Abstract
ABSTRACTWhile user representations are extensively used on public displays, it remains unclear how well users can recognize their own representation among those of surrounding users. We study the most widely used representations: abstract objects, skeletons, silhouettes and mirrors. In a prestudy (N=12), we identify five strategies that users follow to recognize themselves on public displays. In a second study (N=19), we quantify the users' recognition time and accuracy with respect to each representation type. Our findings suggest that there is a significant effect of (1) the representation type, (2) the strategies performed by users, and (3) the combination of both on recognition time and accuracy. We discuss the suitability of each representation for different settings and provide specific recommendations as to how user representations should be applied in multi-user scenarios. These recommendations guide practitioners and researchers in selecting the representation that optimizes the most for the deployment's requirements, and for the user strategies that are feasible in that environment.
Year
DOI
Venue
2018
10.1145/3173574.3173861
Conference on Human Factors in Computing Systems
Keywords
Field
DocType
Public Displays, User Representations, Multiple Users
Software deployment,Computer science,Human–computer interaction,Multimedia,Public displays
Conference
Citations 
PageRank 
References 
4
0.39
32
Authors
4
Name
Order
Citations
PageRank
Mohamed Khamis121836.51
Christian Becker22369180.66
Andreas Bulling32279133.41
Florian Alt41552119.24