Thao Thi Thanh Ngo

• Hanoi Open University

The purpose of this study is to find out pronunciation mistakes made by non-English majors at Hanoi Open university, thereby proposing solutions to help students improve their pronunciation. The study data were collected from 133 first-year students in Economy and Law department at Hanoi Open university through an online questionnaire. The study us...

Abstract: This study is aimed at finding the causes of difficulties faced by third-year English majors, thereby proposing solutions to help the students overcome difficulties and improve the effectiveness of teaching and learning idioms and proverbs at the Faculty of English, Hanoi Open University. The study data were collected from 276 third-year...

Mục đích của nghiên cứu này nhằm tìm ra nguyên nhân dẫn đến những khó khăn của sinh viên năm thứ 3 chuyên ngành tiếng Anh, từ đó đề xuất các giải pháp nhằm khắc phục khó khăn, nâng cao hiệu quả dạy và học thành ngữ, tục ngữ tại khoa Tiếng Anh, trường Đại học Mở Hà Nội. Dữ liệu của nghiên cứu được thu thập từ 276 sinh viên năm thứ 3 chuyên ngành tiế...

This article investigates under which conditions users on Twitter engage with or react to social bots. Based on insights from human–computer interaction and motivated reasoning, we hypothesize that (1) users are more likely to engage with human-like social bot accounts and (2) users are more likely to engage with social bots which promote content c...

The functioning of intelligent systems can be opaque to users. Yet, users need to make informed choices about them. This work compares two knowledge mechanisms, i.e., ways for users to achieve an understanding of intelligent systems: explanation and humanization. In online experiment (N = 416), we compared the effects of a control condition without...

Algorithmic news curation determines users’ news exposure in the online environment. Despite its usefulness, it also comes along with the problem of algorithmic opacity. To combat this, explainable algorithmic news curation systems are necessary. One user-centered solution to design these systems can be achieved through the systematic exploration o...

How users interact with an intelligent system is determined by their subjective mental model of the system’s inner working. In this paper, we present a novel method based on card sorting to identify such mental models of recommender systems quantitatively. Using this method, we conducted an online study (\(N \!=\!170\)). Applying hierarchical clust...

In this paper, we investigate the human ability to distinguish political social bots from humans on Twitter. Following motivated reasoning theory from social and cognitive psychology, our central hypothesis is that especially those accounts which are opinion-incongruent are perceived as social bot accounts when the account is ambiguous about its na...

While online content is personalized to an increasing degree, eg. using recommender systems (RS), the rationale behind personalization and how users can adjust it typically remains opaque. This was often observed to have negative effects on the user experience and perceived quality of RS. As a result, research increasingly has taken user-centric as...

Focusing on personal information disclosure, we apply control theory and the notion of the Order of Control to study people's understanding of the implications of information disclosure and their tendency to consent to disclosure. We analyzed the relevant literature and conducted a preliminary online study (N = 220) to explore the relationship betw...

Focusing on personal information disclosure, we draw from control theory and map the notion of the Order of Control to study people's understanding of the implications of information disclosure and their tendency to consent to disclosure. We performed a literature analysis and conducted a preliminary online study (N = 220) to explore the relationsh...