Generation of Tutorial Systems on PCs for Smartphone Apps

The total number and diversity of smartphone users are increasing. Additionally, their usage varies such as communication, document processing and online shopping. Applications realize different usages to meet users’ requirements. However, some users are unfamiliar with smartphones. They have difficulty learning the operations and need support. A tutorial system, which provides operations along with users’ status, is effective to resolve these issues. However, showing both the target application’s screen and the tutorial on a smartphone display is challenging. Herein we propose a method to generate a system that shows tutorials on a Personal Computer (PC). The target application on a smartphone and the tutorial system on a PC are connected. The user’s status is sent to the tutorial system to realize a customized tutorial. To generate the tutorial system, a log obtaining function is added to the target application without modifying the source program. The log data of user’s operations are recorded. Operation flows in the target application are constructed and frequent operations are weighted. Then tutorials are generated and shown based on the weighting. Our method allows a user to view appropriate tutorials for the current status of the operation on a large display of a PC.

Authors

Institutions

Publication Details

Journal
International Journal of Software Engineering and Knowledge Engineering
Published
2025-06-27
DOI
https://doi.org/10.1142/s0218194025500330
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generation of Tutorial Systems on PCs for Smartphone Apps

Junko Shirogane, Yoshiaki Fukazawa, Sixin Hua
International Journal of Software Engineering and Knowledge Engineering
Intelligent Tutoring Systems and Adaptive Learning
article

Generation of Tutorial Systems on PCs for Smartphone Apps

Junko Shirogane, Yoshiaki Fukazawa, Sixin Hua
article en

Abstract

The total number and diversity of smartphone users are increasing. Additionally, their usage varies such as communication, document processing and online shopping. Applications realize different usages to meet users’ requirements. However, some users are unfamiliar with smartphones. They have difficulty learning the operations and need support. A tutorial system, which provides operations along with users’ status, is effective to resolve these issues. However, showing both the target application’s screen and the tutorial on a smartphone display is challenging. Herein we propose a method to generate a system that shows tutorials on a Personal Computer (PC). The target application on a smartphone and the tutorial system on a PC are connected. The user’s status is sent to the tutorial system to realize a customized tutorial. To generate the tutorial system, a log obtaining function is added to the target application without modifying the source program. The log data of user’s operations are recorded. Operation flows in the target application are constructed and frequent operations are weighted. Then tutorials are generated and shown based on the weighting. Our method allows a user to view appropriate tutorials for the current status of the operation on a large display of a PC.

International Journal of Software Engineering and Knowledge EngineeringVol. 35(07)
Waseda University (JP), Tokyo Woman's Christian University (JP), Ehime University (JP)
Quality Education
Openalex Percentile: Top 93%
Intelligent Tutoring Systems and Adaptive Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.