Public sexual harassment has emerged as a large and growing concern in urban Bangladesh, with deep and damaging implications for gender security, justice, and rights of public participation. In this paper we describe an integrated program of ethnographic and design work meant to understand and address such problems. For one year we conducted surveys, interviews, and focus groups around sexual harassment with women at three different universities in Dhaka. Based on this input, we developed "Protibadi", a web and mobile phone based application designed to report, map, and share women's stories around sexual harassment in public places. In August 2013 the system launched, user studies were conducted, and public responses were monitored to gauge reactions, strengths, and limits of the system. This paper describes the findings of our ethnographic and design-based work, and suggests lessons relevant to other HCI efforts to understand and design around difficult and culturally sensitive problems.

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In this paper we propose resource optimization for subscription based media content crowdsourcing.

Different aspects of usage of electronic devices significantly vary person to person, and therefore, rigorous usage analysis exhibits its prospect in identifying a user in road to secure the devices. Different state-of-the-art approaches have investigated different aspects of the usage, such as typing speed and dwelling time, in isolation for identifying a user. However, investigation of multiple aspects of the usage in combination is yet to be focused in the literature. Therefore, this paper, we investigate multiple aspects of usage in combination to identify a user. We perform the investigation over real users through letting them interact with an Android application, which we develop specifically for the investigation. Our investigation reveals a key finding considering multiple aspects of usage in combination provides improved performance in identifying a user. We get this improved performance up to a certain number of aspects of usage being considered in the identification task.