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| Tekijä: | Wang, Chen |
| Työn nimi: | SwipeLauncher:Fast Application Switch for Mobile Multitask Optimization |
| Julkaisutyyppi: | Diplomityö |
| Julkaisuvuosi: | 2015 |
| Sivut: | 63 s. + liitt. 6 Kieli: eng |
| Koulu/Laitos/Osasto: | Perustieteiden korkeakoulu |
| Oppiaine: | Tietoverkkotekniikka (S-38) |
| Valvoja: | Oulasvirta, Antti |
| Ohjaaja: | Feit, Anna Maria |
| Elektroninen julkaisu: | http://urn.fi/URN:NBN:fi:aalto-201509184392 |
| Sijainti: | P1 Ark Aalto 3101 | Arkisto |
| Avainsanat: | multitasking mobile gesture model-based design |
| Tiivistelmä (eng): | Smart phones are becoming more powerful today, which brings the need of handling multitasking on mobile. Handling multitask operation nowadays takes quite some steps switching between tasks, especially while looking for a less frequently used app. Hence, there is a need of optimizing multitasking behavior on mobile. More specifically, to make it smoother and faster. Previous work either focused on interface design of reaching certain applications quickly, or algorithm prediction of which apps will be used next. In this paper, I looked into the possibility about how interface design and algorithm prediction work together for the optimization of mobile multitasking. My work mainly includes two aspects: new gesture control method to reduce the operation steps of switching between multiple applications; new application recommendation decision to reduce the time and effort of reaching target application. The goal is to provide a better mobile multitasking solution which is easy to control and fast to use. I applied my findings to a mobile application launcher, SlideLauncher, which defined a new gesture control method with fast access to certain applications. To validate my design, I first used model-based method for making design decisions, includes the menu layout design and number of applications in the launcher. The model-based methods include KLM analysis, prediction of each operation step, accuracy prediction and sum up the expectation operation time for each solution. Afterwards, I conducted an experiment with SlideLauncher and Android home screen's performance for opening designated applications. The evaluation indicators include operation speed, accuracy, system complexity and user comfort. SlideLauncher gets better performance in most dimensions: using SlideLauncher is 34.2% faster than Android home screen, with lower error rate and ignore rate as well. SlideLauncher can be used as an alternative of Android home screen in the future, to make mobile multitasking easier. |
| ED: | 2015-09-27 |
INSSI tietueen numero: 52109
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