This study investigates the degree of news avoidance during the first months of the Covid-19 pandemic in the Netherlands. Based on two panel surveys conducted in the period April–June 2020, this study shows that the increased presence of this behavior, can be explained by negative emotions and feelings the news causes by citizens. Moreover, news avoidance indeed has a positive effect on perceived well-being. These findings point to an acting balance for individual news consumers. In a pandemic such as Covid-19 news consumers need to be informed, but avoiding news is sometimes necessary to stay mentally healthy.
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Information and Communication Technologies (ICTs) affect the environment in various ways. Their energy consumption is growing exponentially, with and without the use of ‘green’ energy. Increasing environmental awareness within information science has led to discussions on sustainable development. ‘Green Computing’ has been introduced: the study and practice of environmentally sus- tainable computing. This can be defined as ‘designing, manufacturing, using, and disposing of com- puters, servers, and associated subsystems - such as monitors, printers, storage devices, and net- working and communications systems - efficiently and effectively with minimal or no impact on the en- vironment’. Nevertheless, the data deluge makes it not only necessary to pay attention to the hard- and software dimensions of ICTs but also to the value of the data stored. We explore the possibilities to use information and archival science to reduce the amount of stored data. In reducing this amount of stored data, it’s possible to curb unnecessary power consumption. The objectives of this paper are to develop a model (and test its viablility) to [1] increase awareness in organizations for the environ- mental aspects of data storage, [2] reduce the amount of stored data, and [3] reduce power consump- tion for data storage. This model integrates the theories of Green Computing, Information Value Chain (IVC) and Archival Retention Levels (ARLs). We call this combination ‘Green Archiving’. Our explora- tory research was a combination of desk research, qualitative interviews with information technology and information management experts, a focus group, and two exploratory case studies. This paper is the result of the first stage of a research project that is aimed at developing low power ICTs that will automatically appraise, select, preserve or permanently delete data based on their value. Such an ICT will automatically reduce storage capacity and curb power consumption used for data storage. At the same time, data disposal will reduce overload caused by storing the same data in different for- mats, it will lower costs and it reduces the potential for liability.
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Within eGovernment, trust in electronic stored information (ESI) is a necessity. In the last decades, most organizations underwent substantial reorganization. The integration of structured data in relational databases has improved documentation of business transactions and increased data quality. That integration has improved accountability as well. Almost 90% of the information that organizations manage is unstructured (e.g., e-mail, documents, multimedia files, etc.). Those files cannot be integrated into a traditional database in an easy way. Like structured data, unstructured ESI in organizations can be denoted as records, when it is meant to be (and used as) evidence for organizational policies, decisions, products, actions and transactions. Stakeholders in eGovernment, like citizens, governments and courts, are making increasing demands for the trustworthiness of this ESI for privacy, evidential and transparency reasons. A theoretical analysis of literature of information, organization and archival science illustrates that for delivering evidence, reconstruction of the past is essential, even in this age of information overload. We want to analyse how Digital Archiving and eDiscovery contribute to the realization of trusted ESI, to the reconstruction of the past and to delivering evidence. Digital Archiving ensures (by implementing and managing the ‘information value chain’) that: [1] ESI can be trusted, that it meets the necessary three dimensions of information: quality, context and relevance, and that [2] trusted ESI meets the remaining fourth dimension of information: survival, so that it is preserved for as long as is necessary (even indefinitely) to comply to privacy, accountability and transparency regulations. EDiscovery is any process (or series of processes) in which (trusted) ESI is sought, located, secured and searched with the intent of using it as evidence in a civil or criminal legal case. A difference between the two mechanisms is that Digital Archiving is implemented ex ante and eDiscovery ex post legal proceedings. The combination of both mechanisms ensures that organizations have a documented understanding of [1] the processing of policies, decisions, products, actions and transactions within (inter-) organizational processes; [2] the way organizations account for those policies, decisions, products, actions and transactions within their business processes; and [3] the reconstruction of policies, decisions, products, actions and transactions from business processes over time. This understanding is extremely important for the realization of eGovernment, for which reconstruction of the past is an essential functionality. Both mechanisms are illustrated with references to practical examples.
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Sensors in offices mainly measure environmental data, missing qualitative insights into office workers’ perceptions. This opens the opportunity for active individual participation in data collection. To promote reflection on office well-being while overcoming experience sampling challenges in terms of privacy, notification, and display overload, and in-the-moment data collection, we developed Click-IO. Click-IO is a tangible, privacy-sensitive, mobile experience sampling tool that collects contextual information. We evaluated Click-IO for 20-days. The system enabled real-time reflections for office workers, promoting self-awareness of their environment and well-being. Its non-digital design ensured privacy-sensitive feedback collection, while its mobility facilitated in-the-moment feedback. Based on our findings, we identify design recommendations for the evelopment of mobile experience sampling tools. Moreover, the integration of contextual data with environmental sensor data presented a more comprehensive understanding of individuals’ experiences. This research contributes to the development of experience sampling tools and sensor integration for understanding office well-being.
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As multimedia gradually becomes more and more an integrated part of video conferencing systems, the use of multimedia integrated desktop video conferencing technology (MIDVCT) will open up new educational possibilities for synchronous learning. However, the possibilities and limitations of this technology must be clearly understood so that it can be used to maximize possible pedagogical benefits and reduce possible pedagogical limitations. This paper analyses the process of integrating MIDVCT in a first-year English language course, and offers insights into theoretical underpinnings of multimedia learning from two perspectives: the generative theory of multimedia learning and the cognitive overload theory. The data discussed in this paper have been drawn from a study which took place in a cross institutional setting at Fontys University of Applied Sciences, The Netherlands. The data were collected and analyzed according to a qualitative approach.
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Het doel van het project Every Picture Tells a Story is om samen met het werkveld methoden, technieken en kennis te ontwikkelen voor het produceren van effectieve infographics. Dit is nodig omdat de vraag naar infographics in de markt snel toeneemt. Bedrijfsleven en overheden kiezen er steeds vaker voor om infographics te gebruiken om grote hoeveelheden of complexe informatie begrijpelijk te maken voor hun doelgroepen. Om aan de vraag van deze opdrachtgever te kunnen blijven voldoen hebben producenten van infographics (vaak ontwerpen communicatiebureaus) nieuwe kennis nodig op het gebied van het interdisciplinaire productieproces, communicatie- en mediatechnieken en ‘usability’. Hogeschool Utrecht, Beroepsvereniging voor Nederlandse ontwerpers (BNO), Argumentenfabriek en In60seconds hebben zich voor dit project verenigd in een consortium. Daarnaast hebben zich bedrijven uit het werkveld aangesloten en een onderwijsinstelling, de Universiteit van Amsterdam. De partijen hebben elkaar gevonden in de wens samen nieuwe kennis en vaardigheden te ontwikkelen op het gebied van infographics. Zij streven ernaar toepasbare oplossingen in het werkveld te implementeren. Het consortium zal het onderzoek sturen en de resultaten ervan laten circuleren in onderwijs en praktijk.
DOCUMENT
Het doel van het project Every Picture Tells a Story is om samen met het werkveld methoden, technieken en kennis te ontwikkelen voor het produceren van effectieve infographics. Dit is nodig omdat de vraag naar infographics in de markt snel toeneemt. Bedrijfsleven en overheden kiezen er steeds vaker voor om infographics te gebruiken om grote hoeveelheden of complexe informatie begrijpelijk te maken voor hun doelgroepen. Om aan de vraag van deze opdrachtgever te kunnen blijven voldoen hebben producenten van infographics (vaak ontwerpen communicatiebureaus) nieuwe kennis nodig op het gebied van het interdisciplinaire productieproces, communicatie- en mediatechnieken en ‘usability’.
DOCUMENT
The development of the World Wide Web, the emergence of social media and Big Data have led to a rising amount of data. Information and Communication Technologies (ICTs) affect the environment in various ways. Their energyconsumption is growing exponentially, with and without the use of ‘green’ energy. Increasing environmental awareness has led to discussions on sustainable development. The data deluge makes it not only necessary to pay attention to the hard- and software dimensions of ICTs but also to the ‘value’ of the data stored. In this paper, we study the possibility to methodically reduce the amount of stored data and records in organizations based on the ‘value’ of information, using the Green Archiving Model we have developed. Reducing the amount of data and records in organizations helps in allowing organizations to fight the data deluge and to realize the objectives of both Digital Archiving and Green IT. At the same time, methodically deleting data and records should reduce the consumption of electricity for data storage. As a consequence, the organizational cost for electricity use should be reduced. Our research showed that the model can be used to reduce [1] the amount of data (45 percent, using Archival Retention Levels and Retention Schedules) and [2] the electricity consumption for data storage (resulting in a cost reduction of 35 percent). Our research indicates that the Green Archiving Model is a viable model to reduce the amount of stored data and records and to curb electricity use for storage in organizations. This paper is the result of the first stage of a research project that is aimed at developing low power ICTs that will automatically appraise, select, preserve or permanently delete data based on their ‘value’. Such an ICT will automatically reduce storage capacity and reduce electricity consumption used for data storage. At the same time, data disposal will reduce overload caused by storing the same data in different formats, it will lower costs and it reduces the potential forliability.
DOCUMENT
Recommenders play a significant role in our daily lives, making decisions for users on a regular basis. Their widespread adoption necessitates a thorough examination of how users interact with recommenders and the algorithms that drive them. An important form of interaction in these systems are algorithmic affordances: means that provide users with perceptible control over the algorithm by, for instance, providing context (‘find a movie for this profile’), weighing criteria (‘most important is the main actor’), or evaluating results (‘loved this movie’). The assumption is that these algorithmic affordances impact interaction qualities such as transparency, trust, autonomy, and serendipity, and as a result, they impact the user experience. Currently, the precise nature of the relation between algorithmic affordances, their specific implementations in the interface, interaction qualities, and user experience remains unclear. Subjects that will be discussed during the workshop, therefore, include but are not limited to the impact of algorithmic affordances and their implementations on interaction qualities, balances between cognitive overload and transparency in recommender interfaces containing algorithmic affordances; and reasons why research into these types of interfaces sometimes fails to cross the research-practice gap and are not landing in the design practice. As a potential solution the workshop committee proposes a library of examples of algorithmic affordances design patterns and their implementations in recommender interfaces enriched with academic research concerning their impact. The final part of the workshop will be dedicated to formulating guiding principles for such a library.
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Humans use metaphors in thinking. Most metaphors are visual. In processing information stimuli the mind depends partly on visual codes. Information is processed and stored through two channels: one for non-verbal information and another for verbal information. The two different areas of information in the brain are interconnected. The information is stored in patterns that form an inner representation of how individuals perceive their reality and their self. The active processing of new information, remembering and the self-image are related phenomena, that influence each other, sometimes leading to biased interpretation or even reconstruction of contents in each of these areas. Imagination, expectations and anticipations of the future and memories are the more active manifestations of this process. In this process mimesis plays an important role. Mimesis is the imitation of reality in play, story-telling or creating images of how things should look like in the future. Through mimesis people can anticipate on roles in social life, or appropriate experiences from someone else and relate them to one’s own life story. When this happens the information is related to the self through processes of association and becomes ‘Erfahrung’.
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