Socialization is an essential development skill for preschool children. In collaboration with the LEGO Group, we developed Robert Robot, a simplified robot, which enables socialization between children and facilitates shared experiences when meeting for the first time. An exploratory study to observe socialization between preschool children was conducted with 30 respondents in pairs. Additionally, observational data from 212 play sessions with four Robert Robots in the wild were collected. Subsequent analysis found that children have fun as Robert Robot breaks the ice between unfamiliar children. The children relayed audio cues related to the imaginative world of Robert Robot's personalities and mimicked each other as a method of initiating social play and communication with their unfamiliar peers. Furthermore, the study contributes four implications for the design of robots for socialization between children. This chapter provides an example case of serious storytelling using playful interactions engaging children with the character of the robot and the mini-narratives around the build requests.

The emergence of multimodal data on social media platforms presents new opportunities to better understand user sentiments toward a given aspect. However, existing multimodal datasets for Aspect-Category Sentiment Analysis (ACSA) often focus on textual annotations, neglecting fine-grained information in images. Consequently, these datasets fail to fully exploit the richness inherent in multimodal. To address this, we introduce a new Vietnamese multimodal dataset, named ViMACSA, which consists of 4,876 text-image pairs with 14,618 fine-grained annotations for both text and image in the hotel domain. Additionally, we propose a Fine-Grained Cross-Modal Fusion Framework (FCMF) that effectively learns both intra- and inter-modality interactions and then fuses these information to produce a unified multimodal representation. Experimental results show that our framework outperforms SOTA models on the ViMACSA dataset, achieving the highest F1 score of 79.73%. We also explore characteristics and challenges in Vietnamese multimodal sentiment analysis, including misspellings, abbreviations, and the complexities of the Vietnamese language. This work contributes both a benchmark dataset and a new framework that leverages fine-grained multimodal information to improve multimodal aspect-category sentiment analysis. Our dataset is available for research purposes: https://github.com/hoangquy18/Multimodal-Aspect-Category-Sentiment-Analysis.

The dawn of 5G communication technology comes with questions about the imminent future. The smart era can be seen in cities, transport systems, our personal devices and how we're tracking COVID-19 across the world. Robots can even participate in delivering therapy to humans, which is one of the most delicate, emotion-based exchanges that exists. If not for the internet and AI, vaccine candidates would take months to find. AI that examines data and narrows down outcomes have empowered policymakers to understand COVID-19's impact, before it happens.

It might seem strange to be making predictions about 2021, when it's far from certain how the remainder of 2020 is going to play out. No-one foresaw the world-changing events of this year, but one thing is clear: tech has been affected just as much as every other part of our lives. Another thing that is clear is that today's most important tech trends will play a big part in helping us cope with and adapt to the many challenges facing us. From the shift to working from home to new rules about how we meet and interact in public spaces, tech trends will be the driving force in managing the change. In many ways, Covid-19 will act as a catalyst for a whole host of changes that were already on the cards anyway, thanks to our increasingly online and digital lives.

It might seem strange to be making predictions about 2021, when it's far from certain how the remainder of 2020 is going to play out. No-one foresaw the world-changing events of this year, but one thing is clear: tech has been affected just as much as every other part of our lives. Another thing that is clear is that today's most important tech trends will play a big part in helping us cope with and adapt to the many challenges facing us. From the shift to working from home to new rules about how we meet and interact in public spaces, tech trends will be the driving force in managing the change. In many ways, Covid-19 will act as a catalyst for a whole host of changes that were already on the cards anyway, thanks to our increasingly online and digital lives.

In November, the San Francisco SPCA deployed a 5-foot-tall, 400-pound robot to patrol its campus. The SPCA, a large complex nestled in the northeast corner of the city's Mission neighborhood, has long dealt with vandalism, break-ins, and discarded needles in its surrounding parking lots. Fearing for the safety of its staff, the SPCA figured the robot could work as a deterrent, a sort of deputy for its human security team. The robot came from a Silicon Valley startup called Knightscope, whose growing family of security machines work as slower, more disciplinarian versions of self-driving cars. SPCA used their K5 robot, which is good for outdoor use.