Title:
Synchronous Interfaces for Wearable Computers
Synchronous Interfaces for Wearable Computers
dc.contributor.advisor | Starner, Thad | |
dc.contributor.author | Wu, Jason | |
dc.contributor.committeeMember | Ploetz, Thomas | |
dc.contributor.department | Computer Science | |
dc.date.accessioned | 2018-08-20T19:10:45Z | |
dc.date.available | 2018-08-20T19:10:45Z | |
dc.date.created | 2018-05 | |
dc.date.issued | 2018-05 | |
dc.date.submitted | May 2018 | |
dc.date.updated | 2018-08-20T19:10:46Z | |
dc.description.abstract | Synchronous interfaces provide a new input modality for wearable devices requiring minimal user learning and calibration. We present SeeSaw, a synchronous gesture interface for commodity smartwatches to support rapid, one-handed input with no additional hardware. Our algorithm introduces methods for minimizing false-trigger events while facilitating fast and expressive input. Results from a live evaluation of the system as a one-handed notification response gesture show comparable speed and accuracy to two-handed touch-based interfaces on smartwatches. The SeeSaw input interaction is also evaluated as an input interface for smartwatches and head-worn display systems, showing that the interface enables rapid and accurate interaction. Thus, we find that the SeeSaw synchronous gesture offers a compelling alternative to existing input methods on wearable computers. Finally, a suite of demo applications are presented to show SeeSaw's support of binary, multi-target, and activation input. | |
dc.description.degree | Undergraduate | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1853/60353 | |
dc.language.iso | en_US | |
dc.publisher | Georgia Institute of Technology | |
dc.subject | Wearable computing | |
dc.subject | Interaction techniques | |
dc.subject | Synchronous gestures | |
dc.subject | Smartwatches | |
dc.subject | Head-worn displays | |
dc.subject | One-handed input | |
dc.title | Synchronous Interfaces for Wearable Computers | |
dc.type | Text | |
dc.type.genre | Undergraduate Thesis | |
dspace.entity.type | Publication | |
local.contributor.advisor | Starner, Thad | |
local.contributor.corporatename | College of Computing | |
local.contributor.corporatename | School of Computer Science | |
local.contributor.corporatename | Undergraduate Research Opportunities Program | |
local.relation.ispartofseries | Undergraduate Research Option Theses | |
relation.isAdvisorOfPublication | cc00e6b1-68e4-4f70-a21e-da9f450fe552 | |
relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
relation.isOrgUnitOfPublication | 6b42174a-e0e1-40e3-a581-47bed0470a1e | |
relation.isOrgUnitOfPublication | 0db885f5-939b-4de1-807b-f2ec73714200 | |
relation.isSeriesOfPublication | e1a827bd-cf25-4b83-ba24-70848b7036ac | |
thesis.degree.level | Undergraduate |