Mark Phillips

Sasan Tavakkol, Feng Han, Brandon Mayer et al.

We introduce the modular and scalable design of Kartta Labs, an open source, open data, and scalable system for virtually reconstructing cities from historical maps and photos. Kartta Labs relies on crowdsourcing and artificial intelligence consisting of two major modules: Maps and 3D models. Each module, in turn, consists of sub-modules that enable the system to reconstruct a city from historical maps and photos. The result is a spatiotemporal reference that can be used to integrate various collected data (curated, sensed, or crowdsourced) for research, education, and entertainment purposes. The system empowers the users to experience collaborative time travel such that they work together to reconstruct the past and experience it on an open source and open data platform.

Eyal Ofek, Jens Grubert, Michel Pahud et al.

As more people work from home or during travel, new opportunities and challenges arise around mobile office work. On one hand, people may work at flexible hours, independent of traffic limitations, but on the other hand, they may need to work at makeshift spaces, with less than optimal working conditions and decoupled from co-workers. Virtual Reality (VR) has the potential to change the way information workers work: it enables personal bespoke working environments even on the go and allows new collaboration approaches that can help mitigate the effects of physical distance. In this paper, we investigate opportunities and challenges for realizing a mobile VR offices environments and discuss implications from recent findings of mixing standard off-the-shelf equipment, such as tablets, laptops or desktops, with VR to enable effective, efficient, ergonomic, and rewarding mobile knowledge work. Further, we investigate the role of conceptual and physical spaces in a mobile VR office.