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Pregled bibliografske jedinice broj: 719060

Predicting upper-bound text entry speeds for discrete-tilt-based input on smartphones


Ljubic, Sandi; Glavinic, Vlado; Kukec, Mihael
Predicting upper-bound text entry speeds for discrete-tilt-based input on smartphones // Journal of interaction science, 2 (2014), 3. doi:10.1186/s40166-014-0003-6 (podatak o recenziji nije dostupan, članak, znanstveni)


CROSBI ID: 719060 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Predicting upper-bound text entry speeds for discrete-tilt-based input on smartphones

Autori
Ljubic, Sandi ; Glavinic, Vlado ; Kukec, Mihael

Izvornik
Journal of interaction science (2194-0827) 2 (2014), 3;

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
text entry; tilt interaction; mobile devices; predictive models

Sažetak
Motion sensors integrated into contemporary smartphones allow the introduction of new mobile interaction paradigms, here including tilt-based input control in the mobile context. Namely, as opposed to existing implementations that typically apply continuous feedback on tilting, we define Pitch and Roll movement sequences that change the orientation of the mobile device as discrete-tilt input primitives. The respective commands are then used to manage text entry within three discrete-tilt-based methods thus introduced: keyboard bisection, single cursor, and quad cursor. Each method is based on the use of a particular QWERTY-based keyboard layout with related strategy for character input. We model upper-bound text entry speeds for the input methods, taking into account both movement aspects and language context. The movement model corresponds to both the tilt-based shortest path between two consequent characters, which is theoretically defined, and the time of discrete-tilt execution, which is obtained from user testing experiment we conducted. The linguistic model, comprising digraph statistics, is constructed basing on available English corpora. This modeling approach provides discrete-tilt-based text entry speed predictions representing efficiency rates for expert behavior, i.e. for optimal performance. The results obtained enable the evaluation of the proposed designs without need to test with real users, and can furthermore serve as a baseline for efficiency of text entry implementations that rely on discrete tilt.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
036-0361994-1995 - Univerzalna posrednička platforma za sustave e-učenja (Glavinić, Vlado, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Tehnički fakultet, Rijeka

Profili:

Avatar Url Mihael Kukec (autor)

Avatar Url Vlado Glavinić (autor)

Avatar Url Sandi Ljubić (autor)

Citiraj ovu publikaciju:

Ljubic, Sandi; Glavinic, Vlado; Kukec, Mihael
Predicting upper-bound text entry speeds for discrete-tilt-based input on smartphones // Journal of interaction science, 2 (2014), 3. doi:10.1186/s40166-014-0003-6 (podatak o recenziji nije dostupan, članak, znanstveni)
Ljubic, S., Glavinic, V. & Kukec, M. (2014) Predicting upper-bound text entry speeds for discrete-tilt-based input on smartphones. Journal of interaction science, 2 (3) doi:10.1186/s40166-014-0003-6.
@article{article, author = {Ljubic, Sandi and Glavinic, Vlado and Kukec, Mihael}, year = {2014}, DOI = {10.1186/s40166-014-0003-6}, keywords = {text entry, tilt interaction, mobile devices, predictive models}, journal = {Journal of interaction science}, doi = {10.1186/s40166-014-0003-6}, volume = {2}, number = {3}, issn = {2194-0827}, title = {Predicting upper-bound text entry speeds for discrete-tilt-based input on smartphones}, keyword = {text entry, tilt interaction, mobile devices, predictive models} }
@article{article, author = {Ljubic, Sandi and Glavinic, Vlado and Kukec, Mihael}, year = {2014}, DOI = {10.1186/s40166-014-0003-6}, keywords = {text entry, tilt interaction, mobile devices, predictive models}, journal = {Journal of interaction science}, doi = {10.1186/s40166-014-0003-6}, volume = {2}, number = {3}, issn = {2194-0827}, title = {Predicting upper-bound text entry speeds for discrete-tilt-based input on smartphones}, keyword = {text entry, tilt interaction, mobile devices, predictive models} }

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