Paper Info
Title
Casual video watching during sensor guided navigation
Abstract
Recently, multitasking on smart phones during navigation has emerged as a problematic social behavior due to its potential danger. In this paper, we propose to alleviate the situation by employing a sensor system for obstacle detection and aid the multi-tasking user so that one can safely navigate and carry out the on-going secondary task as effectively as possible. As such, we have implemented an ultrasonic sensor system interfaced into the smart phone that can constantly appraise the user of the incoming obstacles. We ran experiments to validate our approach, checking whether such a system would help user bump less into obstacles than without, and observe their multitasking behavior such as the physical attentional switch. Our experiments have shown that with the aid of the sensor system, the user's attention switch was significantly reduced, however, there was no differences in the performance (e.g. no. of collision) because the momentary strategic spatial and path planning was quite effective with slow pace and light pedestrian traffic. We conclude therefore human dual or multitasking ability is sufficient to overlap "casual" video watching and "slow" navigation. However, with more stringent task, e.g. text messaging and heavier traffic, we expect the reduced attention shift to ultimately improve the performance as well.
Year
DOI
Venue
2013
10.1145/2534329.2534378
VRCAI
Keywords
Field
DocType
heavier traffic,multi-tasking user,sensor system,user bump,multitasking behavior,casual video,ultrasonic sensor system,smart phone,light pedestrian traffic,attention switch,multitasking ability,multitasking,navigation
Pace,Pedestrian,Computer science,Real-time computing,Artificial intelligence,Motion planning,Obstacle,Computer vision,Simulation,Collision,Sensor system,Casual,Human multitasking
Conference
Citations 
PageRank 
References 
1
0.36
2
Authors
2
Name
Order
Citations
PageRank
Euijai Ahn142.80
Gerard J. Kim223638.45