People usually maintain their positive and openness by watching a variety of views in the world. However, the current situation such as epidemiological situations restricts people’s physical movement and may narrow people’s abilities. Additionally, current digital platforms, especially social media platforms, confine people to a narrow territory by filtering information to only their favorites. Thus, their happiness is achieved through a very narrow view. Sharing Collective Human Eye Views is a digital platform that people can share people’s diverse eye views with the world and show various scenes through people’s eye views.

The sharing economy, which uses digital technologies to share a variety of physical resources in a peer-to-peer manner, has been attracting attention in recent years. There are already widespread services including delivery services using personal cars, accommodation services using private homes, and outsourcing services using each person’s spare time. Investigating the feasibility of sharing other types of previous unexplored physical resources in traditional sharing economy services, particularly human bodies, offers promising opportunities with which to expand the current scope of the sharing economy. For example, if other physical resources, such as human senses, could be shared, we might see new possibilities that are different from the current sharing economy services.

One of the most important topics in future crowdsourcing is how to influence and coordinate collective people to perform micro-tasks towards their common goal achieved through crowdsourcing activities. For achieving the goal, crowdsourcing needs to take into account coordinating collective people not only encouraging individual people. This paper presents the Game as Rhetoric model that is a framework for designing digital rhetoric, which is embedded in the real world and influences participants' behavior. We then present Collective Action Crowdsourcing and its IoT-based prototype system as an example using the Game as Rhetoric model.

The paper proposes a new way to encourage a community to increase the sustainability of their surroundings based on crowdsourcing. The most important characteristic in the approach is to automatically insert tasks that increase the community's well-being. Therefore, the more tasks the community's members perform that make their surroundings sustainable, the more they increase their well-being. The research is based on a microcrowdfunding crowdsourcing infrastructure. A new functionality to automatically add micro-tasks to increase a community's well-being is designed for enhancing the infrastructure. We also describe a preliminary user study to demonstrate the feasibility of our approach.

MoboQ is a location-based real-time social question answering service deployed in the field in China. Using MoboQ, people can ask temporal and geo-sensitive questions, such as how long is the line at a popular business right now, and then receive answers that crowdsourced from other users in a timely fashion. To obtain answers for questions, the system analyzes the live stream from public microblogging service Sina Weibo to identify people who are likely to currently be at the place that is associated with a question and sends them the unsolicited question through the microblogging service from which they were identified. MoboQ was deployed in China at the beginning of 2012, until October of the same year, it was used to ask 15,224 questions by 35,214 registered users, and it gathered 29,491 answers; 74.6% of the questions received at least one answer, 28% received a first response within 10 minutes, and 51% of the questions got first answer within 20 minutes. In total, 91% of the questions successfully found at least one answer candidate, and they were sent to 162,954 microblogging service users. We analyze the usage patterns and behaviors of the real-world end-users, discuss the lessons learned, and outline the future directions and possible applications that could be built on top of MoboQ.