DC Field | Value | Language |
---|---|---|
dc.contributor.author | ahn, sunggeun | ko |
dc.contributor.author | Son, Jeongmin | ko |
dc.contributor.author | Lee, Sangyoon | ko |
dc.contributor.author | Lee, Geehyuk | ko |
dc.date.accessioned | 2020-11-11T06:55:27Z | - |
dc.date.available | 2020-11-11T06:55:27Z | - |
dc.date.created | 2020-11-03 | - |
dc.date.created | 2020-11-03 | - |
dc.date.created | 2020-11-03 | - |
dc.date.created | 2020-11-03 | - |
dc.date.created | 2020-11-03 | - |
dc.date.issued | 2020-04-29 | - |
dc.identifier.citation | 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 | - |
dc.identifier.uri | http://hdl.handle.net/10203/277226 | - |
dc.description.abstract | The Midas touch problem is a well-known problem in eye gaze interaction techniques. We present Verge-it as a Midas touch free input technique using modulated disparity vergence eye movement for a binocular head-worn display. We conducted a feasibility study under two different visual background conditions, namely dynamic background (TV) and static background (Wall) conditions. This study revealed a low false positive rate (TV: 0%, Wall: 2.10%) for Verge-it and acceptable performance. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | Verge-it: Gaze interaction for a binocular head-worn display using modulated disparity vergence eye movement | - |
dc.type | Conference | - |
dc.identifier.wosid | 000626317802059 | - |
dc.identifier.scopusid | 2-s2.0-85090209426 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Virtual | - |
dc.identifier.doi | 10.1145/3334480.3382908 | - |
dc.contributor.localauthor | Lee, Geehyuk | - |
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