Moving Target Selection: A Cue Integration Model

Byungjoo Lee, Sunjun Kim, Antti Oulasvirta, Jong-In Lee, Eunji Park

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

27 Sitaatiot (Scopus)
142 Lataukset (Pure)

Abstrakti

This paper investigates a common task requiring temporal precision: the selection of a rapidly moving target on display by invoking an input event when it is within some selection window. Previous work has explored the relationship between accuracy and precision in this task, but the role of visual cues available to users has remained unexplained. To expand modeling of timing performance to multimodal settings, common in gaming and music, our model builds on the principle of probabilistic cue integration. Maximum likelihood estimation (MLE) is used to model how different types of cues are integrated into a reliable estimate of the temporal task. The model deals with temporal structure (repetition, rhythm) and the perceivable movement of the target on display. It accurately predicts error rate in a range of realistic tasks. Applications include the optimization of difficulty in game-level design.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
JulkaisupaikkaNew York, NY, USA
KustantajaACM
ISBN (painettu)978-1-4503-5620-6
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaACM SIGCHI Annual Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montreal, Kanada
Kesto: 21 huhtikuuta 201826 huhtikuuta 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

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