A Hiring Story: Experiences of Employers in Hiring CS Graduates in Software Startups

Published in CSCW 2022 Posters Track!

Rudaiba Adnin, Sadia Afroz, Anindya Iqbal

Here, we performed an interview study of the employers of software startups in Bangladesh. We uncovered the conventional practices of the employers of startups while hiring and their challenges and expectation.

Keywords: Hiring, Startup, Iterview

My Role: Manuscript Preparation, Survey, statistical Analysis, Revision

"A Tale on Abuse and Its Detection over Online Platforms, Especially over Emails": From the Context of Bangladesh

Published in 8th International Conference on Networking, Systems, and Security (NSysS 2021)

Ishita Haque, Rudaiba Adnin, Sadia Afroz, Faria Huq, Sazan Mahbub, A. B. M. Alim Al Islam

We perform a mixed-method user study consisting of formative interviews (n=15) and a survey (n=65) of users' experiences related to online abuse, especially focusing on abuse over emails. Our findings also highlight a certain level of user preference for an automated abuse detection system potentially considering its more control and fewer privacy concerns to users. These findings point to opportunities for design interventions for hybrid abuse detection (automated and human-moderation-based) systems, which is the most preferred system to the users.

Keywords: Online abuse, Abuse detection systems, Privacy, User studies

My Role: Problem Formulation, Manuscript Preparation, Survey, Statistical Analysis, Interview, Revision

Citadel: An Automated Abuse Detection System to Detect and Prevent Abusive Behaviors over Emails

Published in 8th International Conference on Networking, Systems, and Security (NSysS 2021)

Ishita Haque, Rudaiba Adnin, Sadia Afroz, Faria Huq, Sazan Mahbub, A. B. M.Alim Al Islam

We iteratively develop an automated abuse detection system "Citadel" for emails in two sequential phases and evaluate in both the phases - first over 39 participants through in-person demonstrations, and second over 21 participants through a 3-day field study and over 63 participants through a video demonstration. Evaluation results portray efficacy, efficiency, and user acceptance of "Citadel" in detecting and preventing abusive emails.

Keywords: Abuse detection system, Privacy, Human-centered computing, Emails, User studies

My Role: Problem Formulation, System Impelementation, Evaluation, Statistical Analysis, Manuscript Preparation, Revision

Note: Learn Online: High School Students' Adoption of Online Learning in Bangladesh during COVID-19 Pandemic

Published in the ACM COMPASS 2022

Rudaiba Adnin, Sadia Afroz, Sadia Sharmin

In this study, we perform an interview study through in-depth interviews with 22 high school students from a developing country (Bangladesh). We uncover the challenges and workarounds they adopt to cope with the challenges in their online learning practices during the pandemic.

Keywords: Online learning, Pandemic, User study, Online platform, Adaptability

My Role: Corresponding Author, Manuscript Preparation, Interview, Interview Data Analysis, Revision

Students' Adoption of Online Platforms for Learning Purposes in Bangladesh

Published in HCI International 2022

Rudaiba Adnin, Sadia Afroz, Montaser Majid Taseen, Sadia Sharmin

We perform a mixed-method study through semi-structured interviews with 18 university students and an online survey of 239 university students from an engineering university situated in Bangladesh. Our findings reveal several influential factors, experiences, and challenges of the conventional usage of online platforms for learning. One of the noteworthy findings of our study is that most students use multiple online platforms for an effective learning experience.

Keywords: Online learning, Online Platforms, User study, Survey

My Role: Corresponding Author, Manuscript Preparation, Interview, Interview Data Analysis, Survey, Revision

Revealing Influences of Socioeconomic Factors over Disease Outbreaks

Published in the ACM COMPASS 2022

S Mahmudul Hasan, Alabi Mahzabin, Rudaiba Adnin, Ishrat Jahan Eliza, Ishika Tarin, Sadia Afroz, A.B.M. Alim Al Islam

We performed large-scale point-biserial and spearman correlation analysis on the accumulated data to quantify the strength and nature of disease outbreak attributes and socioeconomic indicators relationships. We summarize the nature and prevalent trends between those relationships. We find the primary socioeconomic factors for a disease outbreak exhibiting a particular character. These make our study a novel contribution to the field of disease outbreak analysis and prediction.

Keywords: Socioeconomic factors, Disease outbreaks, Statistical analysis, Correlation

My Role: Corresponding Author, Manuscript Preparation (Problem Formulation, Contribution, Discussion, Related Work), Revision

InnerEye: A Tale on Images Filtered using Instagram Filters - How Do We Interact with Them And How Can We Automatically Identify The Extent of Filtering?

Accepted in Mobiqutous 2022

Gazi Abdur Rakib, Rudaiba Adnin, Shekh Ahammed Adnan Bashir, Chashi Mahiul Islam, Abir Mohammad Turza, Saad Manzur, Monowar Anjum Rashik, Abdus Salam Azad, Tusher Chakraborty, Sydur Rahaman, Muhammad Rayhan Shikder, Syed Ishtiaque Ahmed, A.B.M. Alim Al Islam

Keywords: Images, Filters, Survey, Deep Learning

My Role: Manuscript Preparation, Survey, Statistical Analysis, Revision

Usage of Online Platforms for Job-seeking in Bangladesh

Published in NSysS (2022)

Rudaiba Adnin, Muhtasim Ulfat, Sadia Sharmin

Here, we discover the prevalent trends in the use of online platforms for seeking jobs

Keywords: Job-seeking, Online Platforms, Correlation

My Role: Corresponding Author, Manuscript Preparation, Survey, Statistical analysis

A COVID Story: Corresponding Perspectives Dissection for COVID-19 Pandemic

Under Review

Rudaiba Adnin, Ishrat Jahan Eliza, Ishika Tarin, Sadia Afroz, Sriram Chelappan, A.B.M. Alim Al Islam

In this study, we uncover the corresponding perspectives such as knowledge, perception, challenges, and future outlook about the COVID-19 pandemic of people from Bangladesh, India, and the USA. For this, we perform an online survey of people from these three countries.

Keywords: Survey, COVID-19, Multi-cultural, Statistical analysis, Correlation

My Role: Corresponding Author, Manuscript Preparation, Survey, Data Analysis, Revision

Focusing on the Unfocused: Investigating Online Interactions with Small-Scale Non-Profit Organizations Working for Street Children in Bangladesh

Under Review

Rudaiba Adnin, Ishita Haque, Sadia Afroz, Alvi Md. Ishmam, Sriram Chelappan, A.B.M. Alim Al Islam

To investigate the challenges and their workarounds to address those challenges, we interview seven NPOs working for street children and 21 current donors, and survey 42 potential donors in a developing country (Bangladesh). Our findings reveal influential factors pertinent to the non-profit work and gaps in interactions among the stakeholders (small-scale NPOs, donors, and potential donors) while using existing online platforms. We provide several design implications for enabling better connectivity among the stakeholders that focus on their essential role, reducing their challenges, and resource constraints.

Keywords: Non-profit organizations, Donors, Online platforms, Interview

My Role: Corresponding Author, Manuscript Preparation, Interview, Interview Data Analysis, Revision

EmoBot: Artificial Emotion Generation through an Emotional Chatbot during General-purpose Conversation

Under Review

Md Ehtesham-Ul-Haque, Jacob D'Rozario, Rudaiba Adnin, Farhan Tanvir Utshaw, Fabiha Tasneem, A.B.M. Alim Al Islam

Based on the Cognitive Appraisal Theory, and focusing on audio and textual inputs, we propose a novel method to calculate informative variables to evaluate a particular emotion-generating event and six primary emotions. We incorporate these mappings into an audio chatbot, namely, EmoBot. An objective evaluation indicates that EmoBot could generate more accurate emotional and semantic responses than the traditional chatbots that do not consider emotion. Additionally, a subjective evaluation of EmoBot demonstrates its effectiveness to improve user satisfaction over a traditional chatbot that does not consider emotion.

Keywords: Emotion generation, Psychological Theory, User study

My Role: Corresponding Author, Manuscript Preparation (Problem Formulation, Contribution, Background, Introduction, Discussion), Revision

A Blockchain Approach to Educational Ecosystem

Under Review in NSysS 2022

Rudaiba Adnin, Muhtasim Ulfat, Rezwana Reaz

Here, we have proposed a blockchain-based educational ecosystem to support tamper-proof assessment, secured storage, and employment opportunities for students. We also discussed the advantages and issues that may arise with the ecosystem.

Keywords: Blockchain, Ecosystem, Education

My Role: Corresponding Author, Manuscript Preparation

Uncovering People’s Perspectives about Privacy Concerns with Shared Mobile Phones

Ongoing Research Work (2022)

Rudaiba Adnin, Razi Reaz, Ishika Tarin, Era Sanjida Islam, A.B.M. Alim Al Islam

Here, we are studying people’s privacy concerns with shared mobile phones among their families.

Keywords: Mobile Phones, Family, Interviews

My Role: Corresponding Author, Manuscript Preparation