Showing papers by "Marco Furini published in 2014"
TL;DR: The analysis reveals that there is relation between users’ knowledge and users‘ concerns toward privacy in location-aware services and also reveals that digital natives are more interested in the location- aware scenario than digital immigrants.
Abstract: Location-aware services may expose users to privacy risks as they usually attach user’s location to the generated contents. Different studies have focused on privacy in location-aware services, but the results are often conflicting. Our hypothesis is that users are not fully aware of the features of the location-aware scenario and this lack of knowledge affects the results. Hence, in this paper we present a different approach: the analysis is conducted on two different groups of users (digital natives and digital immigrants) and is divided into two steps: (i) understanding users’ knowledge of a location-aware scenario and (ii) investigating users’ opinion toward location-aware services after showing them an example of an effective location-aware service able to extract personal and sensitive information from contents publicly available in social media platforms. The analysis reveals that there is relation between users’ knowledge and users’ concerns toward privacy in location-aware services and also reveals that digital natives are more interested in the location-aware scenario than digital immigrants. The analysis also discloses that users’ concerns toward these services may be ameliorated if these services ask for users’ authorization and provide benefits to users. Other interesting findings allow us to draw guidelines that might be helpful in developing effective location-aware services.
31 citations
TL;DR: A novel, automatic, simple and low-cost mechanism that does not require human transcriptions or special dedicated software to align captions is proposed and can be helpful to expand video content accessibility.
Abstract: With a growing number of online videos, many producers feel the need to use video captions in order to expand content accessibility and face two main issues: production and alignment of the textual transcript. Both activities are expensive either for the high labor of human resources or for the employment of dedicated software. In this paper, we focus on caption alignment and we propose a novel, automatic, simple and low-cost mechanism that does not require human transcriptions or special dedicated software to align captions. Our mechanism uses a unique audio markup and intelligently introduces copies of it into the audio stream before giving it to an off-the-shelf automatic speech recognition (ASR) application; then it transforms the plain transcript produced by the ASR application into a timecoded transcript, which allows video players to know when to display every single caption while playing out the video. The experimental study evaluation shows that our proposal is effective in producing timecoded transcripts and therefore it can be helpful to expand video content accessibility.
25 citations
01 Jan 2014
TL;DR: The evaluation of the proposal shows that SIWeb might be helpful in decision making processes as it reflects the interests the society has on a specific topic.
Abstract: The high availability of user-generated contents in the Web scenario represents a tremendous asset for understanding various social phenomena. Methods and commercial products that exploit the widespread use of the Web as a way of conveying personal opinions have been proposed, but a critical thinking is that these approaches may produce a partial, or distorted, understanding of the society, because most of them focus on definite scenarios, use specific platforms, base their analysis on the sole magnitude of data, or treat the different Web resources with the same importance. In this paper, we present SIWeb (Social Interests through Web Analysis), a novel mechanism designed to measure the interest the society has on a topic (e.g., a real world phenomenon, an event, a person, a thing). SIWeb is general purpose (it can be applied to any decision making process), cross platforms (it uses the entire Webspace, from social media to websites, from tags to reviews), and time effective (it measures the time correlation between the Web resources). It uses fractal analysis to detect the temporal relations behind all the Web resources (e.g., Web pages, RSS, newsgroups, etc.) that talk about a topic and combines this number with the temporal relations to give an insight of the the interest the society has about a topic. The evaluation of the proposal shows that SIWeb might be helpful in decision making processes as it reflects the interests the society has on a specific topic.
4 citations