Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home

Can in-home laboratories foster learning, self-efficacy, and motivation during the COVID-19 pandemic? -- A case study in two engineering programs

The COVID-19 pandemic has represented a challenge for higher education in terms to provide quality education despite the lockdown periods, the transformation of the in-person classes to virtual classes, and the demotivation and anxiety that are experimented by the students. Because the basis of engineering is the experimentation through hands-on activities and learning by doing, the lockdown periods and the temporary suspension of the in-person classes and laboratories have meant a problem for educators that try to teach and motivate the students despite the situation. In this context, this st…

Using smartphones and wearable devices to monitor behavioural changes during COVID-19

We aimed to explore the utility of the recently developed open-source mobile health platform RADAR-base as a toolbox to rapidly test the effect and response to NPIs aimed at limiting the spread of COVID-19. We analysed data extracted from smartphone and wearable devices and managed by the RADAR-base from 1062 participants recruited in Italy, Spain, Denmark, the UK, and the Netherlands. We derived nine features on a daily basis including time spent at home, maximum distance travelled from home, maximum number of Bluetooth-enabled nearby devices (as a proxy for physical distancing), step count, …

How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19

The COVID-19 pandemic has had a wide-ranging impact on information workers such as higher stress levels, increased workloads, new workstreams, and more caregiving responsibilities during lockdown. COVID-19 also caused the overwhelming majority of information workers to rapidly shift to working from home (WFH). The central question this work addresses is: can we isolate the effects of WFH on information workers' collaboration activities from all other factors, especially the other effects of COVID-19? This is important because in the future, WFH will likely to be more common than it was prior t…

游戏时长对情绪的影响：理解玩家在长时间游戏过程中的情绪框架

The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions

本研究构建情绪检测框架，探究游戏时长对玩家情绪的影响，发现长时间游戏会显著影响情绪，并建议开发者制作更短且有趣的游戏以减轻潜在情绪影响。

Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic

The COVID-19 global pandemic and resulted lockdown policies have forced education in nearly every country to switch from a traditional co-located paradigm to a pure online 'distance learning from home' paradigm. Lying in the center of this learning paradigm shift is the emergence and wide adoption of distance communication tools and live streaming platforms for education. Here, we present a mixed-methods study on live streaming based education experience during the COVID-19 pandemic. We focus our analysis on Chinese higher education, carried out semi-structured interviews on 30 students, and 7…

#StayHome Playing LoL -- Analyzing Players' Activity and Social Bonds in League of Legends During Covid-19 Lockdowns

Humans are social beings. It is therefore not surprising that the social distancing and movement restrictions associated with the Covid-19 pandemic had severe consequences for the well-being of large sections of the population, leading to increased loneliness and related mental diseases. Many people found emotional shelter in online multiplayer games, which have already proven to be great social incubators. While the positive effect games had on individuals has become evident, we are still unaware of how and if games fostered the fundamental need for connectedness that people sought. In other …

在COVID-19大流行期间，高收入邮政编码区的企业通常经历了更大幅度的访问量下降

Businesses in high-income zip codes often saw sharper visit reductions during the COVID-19 pandemic

本研究基于美国Minnesota的SafeGraph出行数据，发现位于富裕邮政编码区的企业在COVID-19封锁期外经历了更大幅度的访问量下降，建议恢复工作优先考虑救济资金。

Integrating Voice-Based Machine Learning Technology into Complex Home Environments

To demonstrate the value of machine learning based smart health technologies, researchers have to deploy their solutions into complex real-world environments with real participants. This gives rise to many, oftentimes unexpected, challenges for creating technology in a lab environment that will work when deployed in real home environments. In other words, like more mature disciplines, we need solutions for what can be done at development time to increase success at deployment time. To illustrate an approach and solutions, we use an example of an ongoing project that is a pipeline of voice base…

互动并非迁移：一项针对自闭症儿童在家使用消费者社交机器人撤回研究

Engagement Is Not Transfer: A Withdrawal Study of a Consumer Social Robot with Autistic Children at Home

本研究探讨社交机器人互动是否能提升自闭症儿童的人际社交能力。通过8周家庭随机对照试验发现，持续使用机器人可降低焦虑，但撤回组在社交动机、情绪理解及同理心方面改善更显著，表明高互动不必然带来社交迁移。

疫情期间情绪对信息寻求与分享行为的影响

Impact Of Emotions on Information Seeking And Sharing Behaviors During Pandemic

本研究基于评价倾向框架，用微调的RoBERTa模型识别公众情绪，结合第三方行为数据，探究COVID-19期间情绪变化及其对信息行为和居家政策依从性的影响，补充了传统小规模危机传播研究。

深度滚动：分析社交媒体无限滚动期间情境因素对干预有效性的影响

Scrolling in the Deep: Analysing Contextual Influences on Intervention Effectiveness during Infinite Scrolling on Social Media

本研究通过7天用户实验（N=72）发现，在家、困倦和低情绪效价等情境因素显著影响社交媒体无限滚动干预的有效性，为设计情境感知的干预措施提供依据。

Nora: The Well-Being Coach

The current pandemic has forced people globally to remain in isolation and practice social distancing, which creates the need for a system to combat the resulting loneliness and negative emotions. In this paper we propose Nora, a virtual coaching platform designed to utilize natural language understanding in its dialogue system and suggest other recommendations based on user interactions. It is intended to provide assistance and companionship to people undergoing self-quarantine or work-from-home routines. Nora helps users gauge their well-being by detecting and recording the user's emotion, s…

理解开发者幸福感与生产力：COVID-19 疫情期间为期 2 年的纵向分析

Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic

本文通过为期 24 个月的纵向研究，分析了 COVID-19 疫情期间软件工程师的幸福感、生产力及社交联系变化，发现开发者普遍偏好混合工作安排，并提出 IJARS 综合模型来解释相关机制。