VLDB 2026 Research / reviewers in the wild / expert
Allison Hsu
dblp:326/3095
· DBLP profile ↗
3ranked-venue papers
3as first author
3since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 3 first-author · 3 since 2021Software engineering, systems software and programming languages · 2 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Comprehensive Analysis of Dieting Apps: Effectiveness, Design, and Frequency UsageabstractDieting mobile health (mHealth) apps are becoming more common in response to the prevalence of obesity. Obesity and overweight have become more widespread in recent years in correspondence to unbalanced diets, lack of exercise, and unhealthy eating habits, all of which can contribute to an increased chance of developing chronic diseases. However, despite the rising numbers of obesity and overweight cases, diet consultations costs have not decreased; instead, they have increased. Therefore, due to the affordability and accessibility issues of healthcare services, dieting apps have gained popularity as an alternative option. Dieting apps cost less than traditional healthcare, more convenient, easily understandable, and generally provides similar feedback to that of a nutritionist, making them more accessible to many individuals. This systematic review evaluates dieting apps from three aspects: effectiveness, design, and frequency of usage. This paper analyzes 11 studies, revealing that dieting apps are successful in certain aspects but lacked quality in other cases, suggesting that there is room for improvement. The effectiveness of dieting apps was found to be mediocre, with some studies indicating neutral or partial success in weight control or reduction. Users generally liked the design aesthetics, but felt that feedback could be more personalized, while the frequency of usage was mainly determined by the app's popularity. Allison Hsu, Ying-Feng Hsu |
COMPSAC | 1 |
| 2022 | Comparison of Teenagers' Writing Using Word Clouds and Analyzing EnginesabstractWorldwide, there are writing competitions for teenagers. However, usually, it is only the winning articles that are presented and remarked off. In order to understand the gap between winning and unselected articles, we compare the selected-winning articles and unselected articles to find the writing quality difference. We do this by using word clouds and various analyzing engines. On Write the World (WtW), while selected-winning pieces are published on WtW Reviews, the users (teenagers between the age of 13-18) can also self-share their articles with the public on the WtW platform. Our finding shows that to get unbiased results, the analyzing engines require the raw text to be inputted, rather than using only the 50 most frequently appeared words from the word cloud. Additionally, there is a notable difference in writing quality between selected-winning articles and self-shared articles. Allison Hsu, Ying-Feng Hsu |
IEEE Big Data | 1 |
| 2022 | Computer Education of the Primary Years Programme Exhibition at International Baccalaureate Schools During the COVID-19 PandemicabstractThis paper investigates computer education and learning of the Primary Years Programme Exhibition (PYPX) project held at the end of the transitional grade of elementary to middle school at International Baccalaureate (IB) Schools during the COVID-19 pandemic. During the COVID-19 pandemic, most of the schools' study and work activities were moved online, which brought significant challenges to elementary school students who were new to computers. On the other hand, it was also a great chance for students to learn more computer skills by digitally completing their PYPX project. We researched 33 11-year-old students who completed the PYPX projects for the pandemic years 2020 and 2021. Allison Hsu, Ying-Feng Hsu |
COMPSAC | 1 |