Pinpointing: Precise Head- and Eye-Based Target Selection for Augmented Reality

Mikko Kytö, Barrett Ens, Thammathip Piumsomboon, Gun Lee, Mark Billinghurst

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

141 Sitaatiot (Scopus)

Abstrakti

Head and eye movement can be leveraged to improve the user’s interaction repertoire for wearable displays. Head movements are deliberate and accurate, and provide the current state-of-the-art pointing technique. Eye gaze can potentially be faster and more ergonomic, but suffers from low accuracy due to calibration errors and drift of wearable eye-tracking sensors. This work investigates precise, multimodal selection techniques using head motion and eye gaze. A comparison of speed and pointing accuracy reveals the relative merits of each method, including the achievable target size for robust selection. We demonstrate and discuss example applications for augmented reality, including compact menus with deep structure, and a proof-of-concept method for on-line correction of calibration drift.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
KustantajaACM
Sivut1-14
Sivumäärä14
ISBN (elektroninen)978-1-4503-5620-6
DOI - pysyväislinkit
TilaJulkaistu - 15 huhtik. 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaACM SIGCHI Annual Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montreal, Kanada
Kesto: 21 huhtik. 201826 huhtik. 2018
Konferenssinumero: 36
https://chi2018.acm.org/
https://chi2018.acm.org

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
LyhennettäCHI
Maa/AlueKanada
KaupunkiMontreal
Ajanjakso21/04/201826/04/2018
www-osoite

Sormenjälki

Sukella tutkimusaiheisiin 'Pinpointing: Precise Head- and Eye-Based Target Selection for Augmented Reality'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä