Look Together: Using Gaze for Assisting Co-located Collaborative Search

Yanxia Zhang, Ken Pfeuffer, Ming Ki Chong, Jason Alexander, Andreas Bulling and Hans Gellersen

Personal and Ubiquitious Computing

Gaze information provides indication of users focus which complements remote collaboration tasks, as distant users can see their partner’s focus. In this paper, we apply gaze for co-located collaboration, where users’ gaze locations are presented on the same display, to help collaboration between partners. We integrated various types of gaze indicators on the user interface of a collaborative search system, and we conducted two user studies to understand how gaze enhances coordination and communication between co-located users. Our results show that gaze indeed enhances co-located collaboration, but with a trade-off between visibility of gaze indicators and user distraction. Users acknowledged that seeing gaze indicators eases communication, because it let them be aware of their partner’s interests and attention. However, users can be reluctant to share their gaze information due to trust and privacy, as gaze potentially divulges their interests.

Yanxia Zhang, Ken Pfeuffer, Ming Ki Chong, Jason Alexander, Andreas Bulling and Hans Gellersen. Look Together: Using Gaze for Assisting Co-located Collaborative Search. 2017. Personal and Ubiquitous Computing, 21, 173-186.


 

BibTex

@article{Zhang2017looktogether,
	title        = {Look Together: Using Gaze for Assisting Co-located Collaborative Search},
	author       = {Zhang, Yanxia and Pfeuffer, Ken and Chong, Ming Ki and Alexander, Jason and Bulling, Andreas and Gellersen, Hans},
	year         = 2017,
	month        = feb,
	journal      = {Personal Ubiquitous Comput.},
	publisher    = {Springer-Verlag},
	address      = {London, UK, UK},
	volume       = 21,
	number       = 1,
	pages        = {173--186},
	doi          = {10.1007/s00779-016-0969-x},
	issn         = {1617-4909},
	issue_date   = {February  2017},
	numpages     = 14,
	url       = {https://doi.org/10.1007/s00779-016-0969-x},
	acmid        = 3047601,
	keywords     = {Collaborative task, Eye tracking, Gaze awareness, Gaze interaction, Large pervasive display, Multi-user}
}