CommuniSense: Crowdsourcing Road Hazards in Nairobi

Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies to obtain reliable data on traffic and road infrastructure conditions. In this paper, we investigate the use of mobile crowdsourcing as means to gather and document Nairobi's road quality information. We first present the key findings of a city-wide road quality survey about the perception of existing road quality conditions in Nairobi. Based on the survey's findings, we then developed a mobile crowdsourcing application, called CommuniSense, to collect road quality data. The application serves as a tool for users to locate, describe, and photograph road hazards. We tested our application through a two-week field study amongst 30 participants to document various forms of road hazards from different areas in Nairobi. To verify the authenticity of user-contributed reports from our field study, we proposed to use online crowdsourcing using Amazon's Mechanical Turk (MTurk) to verify whether submitted reports indeed depict road hazards. We found 92% of user-submitted reports to match the MTurkers judgements. While our prototype was designed and tested on a specific city, our methodology is applicable to other developing cities.Comment: In Proceedings of 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2015

Apes and agriculture

Non-human great apes – chimpanzees, gorillas, bonobos, and orangutans – are threatened by agricultural expansion, particularly from rice, cacao, cassava, maize, and oil palm cultivation. Agriculture replaces and fragments great ape habitats, bringing them closer to humans and often resulting in conflict. Though the impact of agriculture on great apes is well-recognized, there is still a need for a more nuanced understanding of specific contexts and associated negative impacts on habitats and populations. Here we review these contexts and their implications for great apes. We estimate that within their African and South-East Asian ranges, there are about 100 people for each great ape. Given that most apes live outside strictly protected areas and the growing human population and increasing demand for resources in these landscapes, it will be challenging to balance the needs of both humans and great apes. Further habitat loss is expected, particularly in Africa, where compromises must be sought to re-direct agricultural expansion driven by subsistence farmers with small fields (generally <0.64 ha) away from remaining great ape habitats. To promote coexistence between humans and great apes, new approaches and financial models need to be implemented at local scales. Overall, optimized land use planning and effective implementation, along with strategic investments in agriculture and wildlife conservation, can improve the synergies between conservation and food production. Effective governance and conservation financing are crucial for optimal outcomes in both conservation and food security. Enforcing forest conservation laws, engaging in trade policy discussions, and integrating policies on trade, food security, improved agricultural techniques, and sustainable food systems are vital to prevent further decline in great ape populations. Saving great apes requires a thorough consideration of specific agricultural contexts

The Case Against User Interface Consistency

Designers striving for user interface consistency can resemble Supreme Court justices trying to define pornqgraphy: each of us feels we know it when we see it, but people often disagree and a precise definition remains elusive. A close examination suggests that consistency is an unreliable guide and that designers would often do better to focus on users ’ work environments. Many writers have presented the case for user interface consistency. Ben Shneiderman’s [48] first “Golden Rule of Dialogue Design ” reads: “Strive for consistency. This principle is the most frequently violated one, and yet the easiest one to repair and avoid (violating). ” Rubin-stein and Hersh [46] conclude their book, The Human Factor: Designing Computer Systems for People, with the directive, “Build consistent human interfaces. ” Such methodological encouragement has been buttressed with empirical work presented in support of user inter