Forget-me-not: History-less Mobile Messaging

Text messaging has long been a popular activity, and today smartphone apps enable users to choose from a plethora of mobile messaging applications. While we know a lot about SMS practices, we know less about practices of messaging applications. In this paper, we take a first step to explore one ubiquitous aspect of mobile messaging – messaging history. We designed, built, and trialled a mobile messaging application without history—named forget-me-not. The two-week trial showed that history-less messaging no longer supports chit-chat as seen in e.g. WhatsApp, but is still considered conversational and more ‘engaging’. Participants expressed being lenient and relaxed about what they wrote. Removing the history allowed us to gain insights into what uses history has in other mobile messaging applications, such as planning events, allowing for distractions, and maintaining multiple conversation threads

OTT-messaging and mobile telecommunication: A joint market? - An empirical approach

OTT-messenger such as facebook, WhatsApp have gained wide popularity among mobile users while traffic of text messaging has been in strong decline in several countries. This work is the first to provide an empirical analysis how consumption of OTT-messengers affects demand for text messaging and mobile telephony services. Our findings suggest that social and messaging apps may complement demand for text messaging and mobile voice services. More generally we identify the different nature of mobile telecommunication services as key element to explain why reductions of text messaging traffic have been so drastic in some countries and why an analogue development for mobile voice is rather unlikely

Mobile messaging and social media 2015

In today’s world, people — particularly young people — are continually finding and adapting new ways of communicating electronically to fit their needs. Case in point: 2015 marks the first time Pew Research Center has asked specifically about mobile messaging apps as a separate kind of mobile activity apart from cell phone texting. And already, according to a new survey, 36% of smartphone owners report using messaging apps such as WhatsApp, Kik or iMessage, and 17% use apps that automatically delete sent messages such as Snapchat or Wickr. Both of these kinds of apps are particularly popular among young adults. Half (49%) of smartphone owners ages 18 to 29 use messaging apps, while 41% use apps that automatically delete sent messages. These apps are free, and when connected to Wi-Fi, they do not use up SMS (Short Messaging Service) or other data. Furthermore, they offer a more private kind of social interaction than traditional social media platforms such as Facebook or Twitter. The results in this report reflect the noteworthy and rapid emergence of different kinds of communications tools serving different social needs. These new tools add to an already complex and varied terrain of online and mobile interaction. Overall, this survey found that 85% of adults are internet users and 67% are smartphone users. Throughout this report, analysis is largely based on these groups. Along with asking about usage of mobile messaging apps, the survey also tracked usage of a variety of social media platforms and online forums. Among the key findings: The proportion of online adults who use Pinterest and Instagram has doubled since Pew Research Center first started tracking social media platform adoption in 2012. Some 31% of online adults use Pinterest (up from 15% in 2012), while 28% use Instagram (up from 13% in 2012). However, none of the social media platforms measured in this survey experienced a statistically significant increase in usage between September 2014 and April 2015. In terms of user engagement, the proportion of Instagram, Pinterest and LinkedIn users who use each respective site daily has increased significantly since September 2014. Fully 59% of Instagram users, 27% of Pinterest users and 22% of LinkedIn users visit these platforms daily. Facebook remains the most popular social media site – 72% of online adults are Facebook users, amounting to 62% of all American adults. Growth on the site has largely plateaued. There has not been a significant change in the overall share of users since 2012. Those on Facebook remain highly engaged with 70% saying they log on daily, including 43% who do so several times a day. Some 15% of internet users read or comment in discussion forums such as reddit, Digg or Slashdot, while 10% use the blogging website Tumblr. Young adults are particularly likely to use both Tumblr and discussion forums more generally, and men are more likely than women to participate in discussion forums online

An Empirical Study on Android for Saving Non-shared Data on Public Storage

With millions of apps that can be downloaded from official or third-party market, Android has become one of the most popular mobile platforms today. These apps help people in all kinds of ways and thus have access to lots of user's data that in general fall into three categories: sensitive data, data to be shared with other apps, and non-sensitive data not to be shared with others. For the first and second type of data, Android has provided very good storage models: an app's private sensitive data are saved to its private folder that can only be access by the app itself, and the data to be shared are saved to public storage (either the external SD card or the emulated SD card area on internal FLASH memory). But for the last type, i.e., an app's non-sensitive and non-shared data, there is a big problem in Android's current storage model which essentially encourages an app to save its non-sensitive data to shared public storage that can be accessed by other apps. At first glance, it seems no problem to do so, as those data are non-sensitive after all, but it implicitly assumes that app developers could correctly identify all sensitive data and prevent all possible information leakage from private-but-non-sensitive data. In this paper, we will demonstrate that this is an invalid assumption with a thorough survey on information leaks of those apps that had followed Android's recommended storage model for non-sensitive data. Our studies showed that highly sensitive information from billions of users can be easily hacked by exploiting the mentioned problematic storage model. Although our empirical studies are based on a limited set of apps, the identified problems are never isolated or accidental bugs of those apps being investigated. On the contrary, the problem is rooted from the vulnerable storage model recommended by Android. To mitigate the threat, we also propose a defense framework

Every Cloud Has a Push Data Lining: Incorporating Cloud Services in a Context-Aware Application

We investigated context-awareness by utilising multiple sources of context in a mobile device setting. In our experiment we developed a system consisting of a mobile client, running on the Android platform, integrated with a cloud-based service. These components were integrated using pushmessaging technology.One of the key featureswas the automatic adaptation of smartphones in accordance with implicit user needs. The novelty of our approach consists in the use of multiple sources of context input to the system, which included the use of calendar data and web based user configuration tool, as well as that of an external, cloud-based, configuration file storing user interface preferences which, pushed at log-on time irrespective of access device, frees the user from having to manually configure its interface.The systemwas evaluated via two rounds of user evaluations (n = 50 users), the feedback of which was generally positive and demonstrated the viability of using cloud-based services to provide an enhanced context-aware user experience

Revenue requirements for mobile operators with ultra-high mobile broadband data traffic growth.

Mobile broadband data access over cellular networks has been established as a major new service in just a few years. The mobile broadband penetration has risen from almost zero to between 10 and 15 per cent in Western European leading markets from 2007 to the end of 2009. More than 75% of network traffic was broadband data in 2009, and the data volumes are growing rapidly. But the revenue generation is the reverse as the average for operators in Europe in 2009 was around 77 per cent of service revenues from voice, 10 per cent from SMS and 13 per cent from other data. Voice and broadband data service are built on two quite different business models. Voice pricing is volume based. Revenue depends linearly on the number of voice minutes. Broadband data service on the other hand is mainly flat fee based even if different levels are being introduced as well as tiers. Revenue is decoupled from traffic and therefore also from operating costs and investment requirements. This is what we define as a revenue gap. Earnings as well as internal financing will suffer from increasing traffic per user unless the flat fee can be raised or changed to volume based, other revenue can be obtained and/or operating costs and investments can be reduced accordingly. Observable trends and common forecasts indicate strong growth of mobile broadband traffic as well as declining revenue from mobile voice in the next five year period. This outlook suggests a prospective revenue gap with weak top-line growth and expanding operating costs and investment requirements. This is not only a profitability and cash flow issue. It may also severely restrict the industry's revenue and profit growth potential if it is handled mainly by cost-cutting. In sections 2 - 4 we describe related work, our contribution, the specific research questions as well as the methodology and its problems. Section 5 is an overview of mobile operators' revenue, its sources and development till today. Section 6 presents trends, developments and published forecasts that may be relevant for the future. Section 7 contains our conclusions. --Mobile broadband,mobile operator revenues,revenue requirements,voice revenues,non-voice revenues