Designing the Tangible Experience of Interactive Memories

The process for memory keeping in the digital age has become easier, immediate, and more efficient thanks to the advent of sophisticated pocket-sized toolsets that can capture everyday experiences. Consumer-level photo and video recording products are introduced regularly and boast more fidelity, faster speeds, and greater control than their predecessors. More often than not, these expanding feature sets do not properly serve all of their users\u27 needs. While the technology exists to allow for a near-complete record of one\u27s life to be made through the use of sensors and storage media, problems involve how best to meaningfully learn from and engage with a lifetime of collected content. With the intention of designing a system to streamline the storage and review process of digital memory keeping, I devised a conceptual framework of tangible objects and interactions to centralize memory media and provide a tangible experience for the review of life content. Focusing on the design of products for lifelogging, the recording of everyday experience through digital sensory inputs, I researched human memory, memory making processes, and the Quantified Self movement. My resulting concept is a system of interactions that incorporate physical objects, digital interfaces, wireless communication, and cloud-based storage that is meant to be a tactile, precious, and centralized way to review and engage with one\u27s memory

Investigating Sharing in Memory for Life Systems

Memory for Life (M4L) systems store and organize life events captured by people in digital form using their cameras, mobile phones and so on. This paper describes M4L systems and the challenges for sharing digital events. Based on the challenges, an investigation is carried out in order to find a suitable technology that allows sharing of digital events according to the social network of a user. For this purpose, Web-based online social networks and peer-to-peer networks are particularly studied. The requirements for a social P2P model for sharing human digital events (HDEs) are suggested as future work

A privacy by design approach to lifelogging

Technologies that enable us to capture and publish data with ease are likely to pose new concerns about privacy of the individual. In this article we exam- ine the privacy implications of lifelogging, a new concept being explored by early adopters, which utilises wearable devices to generate a media rich archive of their life experience. The concept of privacy and the privacy implications of lifelogging are presented and discussed in terms of the four key actors in the lifelogging uni- verse. An initial privacy-aware lifelogging framework, based on the key principles of privacy by design is presented and motivated

Many Voices, Many Selves: An Analysis Of Education Blog Discourses

At this point, the majority of computer mediated communication (CMC) studies have employed a variation analysis approach, quantitatively describing language on the Internet and comparing CMC to speech and writing. While these studies have provided valuable information about CMC, they have also left many gaps, especially related to social and ideological issues such as language use. This study responds to the need for more qualitative studies of language on the Internet by examining one form of CMC: education blogs. The study analyzes a selection of posts from five blogs published between March 21, 2012 and March 28, 2013. These five blogs were chosen from an initial list of 307 blogs that was compiled from both education blog reference lists and snowball sampling from blogrolls. Ideological discourse features of the blogs, specifically James Paul Gee\u27s concepts of situated meaning, intertextuality, social languages, and Big D Discourses, are the focus of the study. Following this analysis, several recent social media tools are discussed, focusing on the implications these technologies have for literacy practices. Questions exploring how Discourse use might be impacted by these new types of social media are also introduced, as are numerous possibilities for future research

LifeLogging: personal big data

We have recently observed a convergence of technologies to foster the emergence of lifelogging as a mainstream activity. Computer storage has become significantly cheaper, and advancements in sensing technology allows for the efficient sensing of personal activities, locations and the environment. This is best seen in the growing popularity of the quantified self movement, in which life activities are tracked using wearable sensors in the hope of better understanding human performance in a variety of tasks. This review aims to provide a comprehensive summary of lifelogging, to cover its research history, current technologies, and applications. Thus far, most of the lifelogging research has focused predominantly on visual lifelogging in order to capture life details of life activities, hence we maintain this focus in this review. However, we also reflect on the challenges lifelogging poses to an information retrieval scientist. This review is a suitable reference for those seeking a information retrieval scientist’s perspective on lifelogging and the quantified self

The Evolution of First Person Vision Methods: A Survey

The emergence of new wearable technologies such as action cameras and smart-glasses has increased the interest of computer vision scientists in the First Person perspective. Nowadays, this field is attracting attention and investments of companies aiming to develop commercial devices with First Person Vision recording capabilities. Due to this interest, an increasing demand of methods to process these videos, possibly in real-time, is expected. Current approaches present a particular combinations of different image features and quantitative methods to accomplish specific objectives like object detection, activity recognition, user machine interaction and so on. This paper summarizes the evolution of the state of the art in First Person Vision video analysis between 1997 and 2014, highlighting, among others, most commonly used features, methods, challenges and opportunities within the field.Comment: First Person Vision, Egocentric Vision, Wearable Devices, Smart Glasses, Computer Vision, Video Analytics, Human-machine Interactio