Dokument: Health Information Behavior of Activity Tracking Technologies Users
| Titel: | Health Information Behavior of Activity Tracking Technologies Users | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=55294 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20210128-111421-3 | |||||||
| Kollektion: | Dissertationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Abschlussarbeiten » Dissertation | |||||||
| Medientyp: | Text | |||||||
| Autor: | Ilhan, Aylin [Autor] | |||||||
| Dateien: |
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| Beitragende: | Prof. Dr. Stock, Wolfgang G. [Gutachter] Ao.Univ.-Prof. Mag. Dr.rer.soc.oec.et Mag.Dr.iur. Reichmann, Gerhard [Gutachter] | |||||||
| Stichwörter: | health information behavior, activity tracking technologies, self-quantification | |||||||
| Dewey Dezimal-Klassifikation: | 000 Informatik, Informationswissenschaft, allgemeine Werke 000 Informatik, Informationswissenschaft, allgemeine Werke » 020 Bibliotheks- und Informationswissenschaften | |||||||
| Beschreibung: | This thesis sheds light on the realm of activity tracking technologies (ATTs) and users' self-quantified behavior. Self-quantification enables users to gain awareness about their own body and, therefore, about their health and physical activity. Today's society is faced with digital information growth within the Internet and by emerging Information and Communications Technologies (ICTs), anywhere and anytime. From an information science perspective, critical questions need to arise, such as, to what extent is that information offered by ATTs understandable and usable? To what extent do they support users' self-quantification behavior, such as being healthier and more physically active? Do users perceive those data pieces as sensitive?
Information Science with its concepts (e.g., Information Behavior) and core aspects, i.e. information and information content, underlines its unique and valuable characteristics. Based on a broad definition of Information Behavior, this thesis is divided into three parts to provide a holistic view and thorough insights into ATT users' information behavior. The first part, Self-Quantified Information Behavior will provide findings to answer the research question (RQ1) To what extent do ATTs enable effective self-quantification behavior from an information science perspective? This part faced the challenge of providing data-centric findings that characterize the Human-Information Interaction (HII) but also the interaction with those technological devices (Human-Computer Interaction (HCI)). It is recognized that there do exist many health and fitness-related groups within Social Media Platforms, especially within Facebook. As ATTs aim to support users to self-quantify and gain awareness, this raised the questions, why users join those groups, especially as there are also many ATT-related groups. For such an approach, within the information behavior framework, the thesis applied the Uses and Gratifications Theory (U>). This approach helps to determine why people decided to use a specific medium (needs) and what they obtain within those groups. Apart from the U>, other motivational aspects such as intrinsic and extrinsic motivation (Self-Determination Theory) were investigated as well. This will frame the second part of this thesis, Information Behavior within Health and Fitness-Related Facebook Groups, and will answer the research question: Which gratifications and other motivational sources lead users to join health and fitness-related Facebook groups, and to what extent do users' characteristics influence information behavior?(RQ2). This research domain deals with health and fitness-related metrics offered by ATTs. Therefore, the information behavior is transferred into the health and fitness domain. However, this raises questions such as if users have privacy concerns and, if so, to what extent they can manage their privacy settings and take responsibility for the collected data. Primarily the responsibility to know how to manage data and to be able to understand how the data is processed is assigned to the concept of information behavior. This last part, Self-Quantified Privacy-Related (Information) Behavior and Concerns, will discuss to what extent users are concerned about the collected data (RQ3a) and what their privacy information behavior is (RQ3b). | |||||||
| Lizenz: |  Urheberrechtsschutz | |||||||
| Fachbereich / Einrichtung: | Philosophische Fakultät » Institut für Sprache und Information » Informationswissenschaft | |||||||
| Dokument erstellt am: | 28.01.2021 | |||||||
| Dateien geändert am: | 28.01.2021 | |||||||
| Promotionsantrag am: | 11.11.2020 | |||||||
| Datum der Promotion: | 03.12.2020 |
