Web Science and Digital Libraries Research Group

Figure 1 Jahanbakhsh et al. Assess tweets with AI assistance (UI used in Step 3). Participants assess each tweet in their feed while seeing AI model predictions. As shown in this screenshot, the user is in the middle of an experiment and has assessed the top tweet, while the rest of the tweets in this feed (for which the AI model predictions are shown) have not been assessed yet. The AI model predictions may change in response to user feedback. The tweets for which the AI predictions have recently changed are shown on the left pane. Newly changed predictions are differentiated visually with a border and a notification icon, similar to the bottom tweet in the image (Figure 3 in original paper ). In recent years,  misinformation on social media  platforms has been a tremendous concern. The  spread of inaccurate or misleading information weakens the credibility of online content and also poses serious threats to social trust, public opinion, and even democratic pro...

  The ACM CHI Conference on Human Factors in Computing Systems , often called 'kai,' is the foremost global conference in Human-Computer Interaction (HCI). This annual event unites a diverse array of researchers and practitioners from around the globe, encompassing a variety of cultures, backgrounds, and perspectives. Their common objective is to enhance the world by developing and applying interactive digital technologies. In this blog post, I explore the research paper co-authored by Dr. Vikas Ashok , titled " Modeling Touch-based Menu Selection Performance of Blind Users via Reinforcement Learning, " published in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . In this study, we developed a computational model to simulate the menu selection methods of blind users, incorporating techniques such as swiping, gliding, and direct touch. A vital feature of this model is its emulation of long-term memory, predicting users' recall or forg...