1,401 research outputs found

    Narcissus to a Man: Lifelogging, Technology and the Normativity of Truth

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    The growth of the practice of lifelogging, exploiting the capabilities provided by the exponential increase in computer storage, and using technologies such as SenseCam as well as location-based services, Web 2.0, social networking and photo-sharing sites, has led to a growing sense of unease, articulated in books such as Mayer-Schönberger's Delete, that the semi-permanent storage of memories could lead to problematic social consequences. This talk examines the arguments against lifelogging and storage, and argues that they seem less worrying when placed in the context of a wider debate about the nature of mind and memory and their relationship to our environment and the technology we use

    Veebi otsingumootorid ja vajadus keeruka informatsiooni jÀrele

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    VĂ€itekirja elektrooniline versioon ei sisalda publikatsioone.Veebi otsingumootorid on muutunud pĂ”hiliseks teabe hankimise vahenditeks internetist. Koos otsingumootorite kasvava populaarsusega on nende kasutusala kasvanud lihtsailt pĂ€ringuilt vajaduseni kĂŒllaltki keeruka informatsiooni otsingu jĂ€rele. Samas on ka akadeemiline huvi otsingu vastu hakanud liikuma lihtpĂ€ringute analĂŒĂŒsilt mĂ€rksa keerukamate tegevuste suunas, mis hĂ”lmavad ka pikemaid ajaraame. Praegused otsinguvahendid ei toeta selliseid tegevusi niivĂ”rd hĂ€sti nagu lihtpĂ€ringute juhtu. Eriti kehtib see toe osas koondada mitme pĂ€ringu tulemusi kokku sĂŒnteesides erinevate lihtotsingute tulemusi ĂŒhte uude dokumenti. Selline lĂ€henemine on alles algfaasis ja ning motiveerib uurijaid arendama vastavaid vahendeid toetamaks taolisi informatsiooniotsingu ĂŒlesandeid. KĂ€esolevas dissertatsioonis esitatakse rida uurimistulemusi eesmĂ€rgiga muuta keeruliste otsingute tuge paremaks kasutades tĂ€napĂ€evaseid otsingumootoreid. AlameesmĂ€rkideks olid: (a) arendada vĂ€lja keeruliste otsingute mudel, (b) mÔÔdikute loomine kompleksotsingute mudelile, (c) eristada kompleksotsingu ĂŒlesandeid lihtotsingutest ning teha kindlaks, kas neid on vĂ”imalik mÔÔta leides ĂŒhtlasi lihtsaid mÔÔdikuid kirjeldamaks nende keerukust, (d) analĂŒĂŒsida, kui erinevalt kasutajad kĂ€ituvad sooritades keerukaid otsinguĂŒlesandeid kasutades veebi otsingumootoreid, (e) uurida korrelatsiooni inimeste tava-veebikasutustavade ja nende otsingutulemuslikkuse vahel, (f) kuidas inimestel lĂ€heb eelhinnates otsinguĂŒlesande raskusastet ja vajaminevat jĂ”upingutust ning (g) milline on soo ja vanuse mĂ”ju otsingu tulemuslikkusele. Keeruka veebiotsingu ĂŒlesanded jaotatakse edukalt kolmeastmeliseks protsessiks. Esitatakse sellise protsessi mudel; seda protsessi on ĂŒhtlasi vĂ”imalik ka mÔÔta. Edasi nĂ€idatakse kompleksotsingu loomupĂ€raseid omadusi, mis teevad selle eristatavaks lihtsamatest juhtudest ning nĂ€idatakse Ă€ra katsemeetod sooritamaks kompleksotsingu kasutaja-uuringuid. Demonstreeritakse pĂ”hilisi samme raamistiku “Search-Logger” (eelmainitud metodoloogia tehnilise teostuse) rakendamisel kasutaja-uuringutes. Esitatakse sellisel viisil teostatud uuringute tulemused. LĂ”puks esitatakse ATMS meetodi realisatsioon ja rakendamine parandamaks kompleksotsingu vajaduste tuge kaasaegsetes otsingumootorites.Search engines have become the means for searching information on the Internet. Along with the increasing popularity of these search tools, the areas of their application have grown from simple look-up to rather complex information needs. Also the academic interest in search has started to shift from analyzing simple query and response patterns to examining more sophisticated activities covering longer time spans. Current search tools do not support those activities as well as they do in the case of simple look-up tasks. Especially the support for aggregating search results from multiple search-queries, taking into account discoveries made and synthesizing them into a newly compiled document is only at the beginning and motivates researchers to develop new tools for supporting those information seeking tasks. In this dissertation I present the results of empirical research with the focus on evaluating search engines and developing a theoretical model of the complex search process that can be used to better support this special kind of search with existing search tools. It is not the goal of the thesis to implement a new search technology. Therefore performance benchmarks against established systems such as question answering systems are not part of this thesis. I present a model that decomposes complex Web search tasks into a measurable, three-step process. I show the innate characteristics of complex search tasks that make them distinguishable from their less complex counterparts and showcase an experimentation method to carry out complex search related user studies. I demonstrate the main steps taken during the development and implementation of the Search-Logger study framework (the technical manifestation of the aforementioned method) to carry our search user studies. I present the results of user studies carried out with this approach. Finally I present development and application of the ATMS (awareness-task-monitor-share) model to improve the support for complex search needs in current Web search engines

    Using Ipads to Facilitate Library Instruction Sessions in a Scale-Up Classroom

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    This study details a trial in which three undergraduate library instruction sessions were conducted on a class set of iPads, within a SCALE-UP classroom. The iPads suggested strong potential as replacements for desktop computers and demonstrated support for key active learning approaches: instant polling, content sharing, and navigation of web pages and databases. The SCALE-UP classroom has made notable contributions in promoting undergraduate learning, and its advantages were found to be extensible to library instruction. The pedagogy which the space is designed to reinforce, collaborative learning segments interspersed with lecture components, seemed to promote student engagement in library instruction sessions

    Design, deployment and assessment of a movie archive system in a film studies context

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    This thesis describe our work in developing a movie archive system for students of Film Studies in Dublin City University. In particular, our system uses several recent multimedia technologies to automatically process digital video content but at the same time we use the usability engineering process to relate to the real tasks of real users in their real environments. We investigate how real users take advantage of technologies in a movie browsing system. By designing, building, deploying and assessing the usage of a technology in a user-focused way, the overall impact of a movie browsing system can be determined holistically. The application domain we work in is film studies where students need to study movie contents and analyse movie sequences. Our work began by identification of user needs through observations, focus groups and usability testing, followed by sketching and prototyping a web-based system. We then deployed the system to film study classes over a semester, monitored usage and gathered quantitative as well as qualitative data. Focused experiments were carried out to assess students’ performance and satisfaction levels. Our findings show expected patterns of usage of a real-user setting outside the lab, but at the same time highlighted issues that need to be further investigated. In general, students found most of the provided features were beneficial for their studies. Findings from the experiment shows better performance in the essay assessments and higher satisfaction levels. An interesting finding shows students are more engaged with the newly-introduced software application and take longer time to complete the same task than without the advanced features of the application. This phenomenon was rationalized from established learning theory from the psychology domain. In a technologically-oriented multimedia field today, we attempted to bring in a user-centred approach of end-user interactions throughout a 3-year development process, and we identified benefits and challenges in trying to align the technical perspectives of novel multimedia features to real-world setting

    Ego perspective video indexing for life logging videos

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    This thesis deals with life logging videos that are recorded by head worn devices. The goal is to develop a method to filter out parts of life logging videos which are important. This means it is to determine which parts are important. To do this we take a look at how the autobiographical memory works and try to adapt an indexing mechanism which works on similar aspects. To index life logging videos with the expressive metadata successfully we first need to extract information out of the video itself. Since faces are an important part of autobiographical memory recall, image processing which consists of face detection, tracking and recognition is used. This helps to get the people in a scene. Another part is the location data which is accessed by using GPS data. After all the information is gathered we can index those information in so called events. For each event we have to define the people that are present during this event, which place and at what time the event takes place. To do this an indexing algorithm was developed which segments the video into smaller parts by using the faces, location and time. The result is a prototype algorithm which can be further developed to improve the actual segmentation of life logging videos. This project serves as an information collecting and creation application for future life logging video navigation tools.Diese Arbeit befasst sich mit Lifelogging Videos, die mit auf dem Kopf getragenen GerĂ€ten aufgenommen wurden. Das Ziel ist es eine Methode zu entwickeln, um wichtige Teile aus einem Lifelogging Video heraus zu filtern. Das bedeutet, dass wir herausfinden mĂŒssen welche Teile eines Videos ĂŒberhaupt als wichtig erachtet werden. Um die Wichtigkeit einzelner Videoabschnitte festzulegen, mĂŒssen wir herausfinden wie das autobiographische GedĂ€chtnis1 funktioniert, um einen indexing Mechanismus zu erstellen, der auf Ă€hnliche Weise funktioniert. Um die Videos mit verschiedenen Informationen zu indexen mĂŒssen zunĂ€chst diese Informationen aus dem Video selber gewonnen werden. Da Gesichter ein wichtiger Teil des autobiographischen GedĂ€chtnisses sind, wird image processing benutzt, um Gesichter aus den Videos zu erkennen. ZusĂ€tzlich können wir die GPS Daten benutzen um den Ort zu bestimmen. Nachdem die ganzen Informationen gesammelt wurden, werden sie in sogenannten Events gespeichert. FĂŒr jedes Event muss definiert werden, welche Personen an welchem Ort zu welcher Zeit auftauchen. Um eine gute Zusammensetzung von Events zu gewĂ€hrleisten wurde ein Prototyp entwickelt um Lifelogging Videos in kleinere Segmente aufzuteilen, die momentan nur auf Gesichtern, Orten und Zeit beruhen. Dieser Prototyp kann in Zukunft beliebig erweitert und verbessert werden. Dieses Projekt dient als Grundlage fĂŒr die spĂ€tere Entwicklung eines geeigneten Lifelogging Navigationstools

    The evaluation of academic electronic bulletin boards for communication and training : HCI factors in the UK and Saudi Arabia

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    Electronic networks services have become essential tools for the academic community. One of the services provided has been academic electronic bulletin boards (EBBs), and the use of EBBs has increased dramatically during the last decade. One question concerns the possible application of EBBs as a means both for communication and for remote training. A series of experiments were conducted during 1991, 1992, and 1993 with the aim of examining the use of EBBs for these purposes. The first experiment was carried out to investigate whether users experience problems in using EBBs. The next extended this to see how students evaluated EBBs for communication and training purposes. The main focus of the work was BUBL. After this second experiment, modifications were made to the BUBL data and a further experiment was carried out. A different group of students looked at the modified material, and also compared it with US data using different software. The fourth experiment compared the usability of a menu-based interface (dBase III +) and a hypertext interface (HyperCard) from a student's viewpoint. It was followed by an investigation of icons to find out how well different icons could be recognised and the possibility of using them for language-independent instructions. Finally, the characteristics and problems of GULFNET users were examined. The evaluation has demonstrated the general acceptability of EBBs and their likely value for training purposes. This leads to a discussion of how an EBB might best be developed for use in communication and training on GULFNET

    Semantic Interaction in Web-based Retrieval Systems : Adopting Semantic Web Technologies and Social Networking Paradigms for Interacting with Semi-structured Web Data

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    Existing web retrieval models for exploration and interaction with web data do not take into account semantic information, nor do they allow for new forms of interaction by employing meaningful interaction and navigation metaphors in 2D/3D. This thesis researches means for introducing a semantic dimension into the search and exploration process of web content to enable a significantly positive user experience. Therefore, an inherently dynamic view beyond single concepts and models from semantic information processing, information extraction and human-machine interaction is adopted. Essential tasks for semantic interaction such as semantic annotation, semantic mediation and semantic human-computer interaction were identified and elaborated for two general application scenarios in web retrieval: Web-based Question Answering in a knowledge-based dialogue system and semantic exploration of information spaces in 2D/3D

    TravelBuddy: a closed-community carpooling system as a case study for web development with focus on usability, design and infrastructure

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    The Web and the technologies that revolve around it are on a rapid rise. As the use and utilization of Web grows broader, so does the dependency on Web technologies. If a web site aims to survive and mature, in a world where 10.000 web sites per day are published, the web designer/developer must assess the factors associated with Web site success during the development process. While a web site's long-term success is dependant on many factors, this thesis's focus is on its initial development which consists of three interconnected factors; usability, design and responsiveness provided with infrastructure. Usability, design and responsiveness provided with infrastructure are the three primary factors needed to establish a quality and complex web site. While each factor has its own priorities and requirements, they are all dependant on each other. Establishing a balance between these factors are key to success. This thesis will discuss how to utilize the three factors to create a successfull web site. The concluded information will be used with the aid of research on carpooling, to create "TravelBuddy", a closed-community carpooling system prototype. The thesis will also discuss the development process in association with Web site success factors and planned future work

    Designing and evaluating a user interface for continous embedded lifelogging based on physical context

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    PhD ThesisAn increase in both personal information and storage capacity has encouraged people to store and archive their life experience in multimedia formats. The usefulness of such large amounts of data will remain inadequate without the development of both retrieval techniques and interfaces that help people access and navigate their personal collections. The research described in this thesis investigates lifelogging technology from the perspective of the psychology of memory and human-computer interaction. The research described seeks to increase my understanding of what data can trigger memories and how I might use this insight to retrieve past life experiences in interfaces to lifelogging technology. The review of memory and previous research on lifelogging technology allows and support me to establish a clear understanding of how memory works and design novel and effective memory cues; whilst at the same time I critiqued existing lifelogging systems and approaches to retrieving memories of past actions and activities. In the initial experiments I evaluated the design and implementation of a prototype which exposed numerous problems both in the visualisation of data and usability. These findings informed the design of novel lifelogging prototype to facilitate retrieval. I assessed the second prototype and determined how an improved system supported access and retrieval of users’ past life experiences, in particular, how users group their data into events, how they interact with their data, and the classes of memories that it supported. In this doctoral thesis I found that visualizing the movements of users’ hands and bodies facilitated grouping activities into events when combined with the photos and other data captured at the same time. In addition, the movements of the user's hand and body and the movements of some objects can promote an activity recognition or support user detection and grouping of them into events. Furthermore, the ability to search for specific movements significantly reduced the amount of time that it took to retrieve data related to specific events. I revealed three major strategies that users followed to understand the combined data: skimming sequences, cross sensor jumping and continued scanning
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