The temporal dimension of acceptance is under-researched in technology acceptance research. Yet, people’s perceptions on technology use may change over time when gaining user experiences. Our 6-month home study deploying an interactive robot provides insight into the long-term use of use interactive technology in a domestic environment. We present a phased framework for the acceptance of interactive technology in domestic environments. Based on 97 interviews obtained from 21 participants living in different household types, the results provide an initial validation of our phased framework for long-term acceptance showing that acceptance phases are linked to certain user experiences which evolve over time when people gain experience with the technology. Involving end users in the early stages of development helps researchers understand the cultural and social contexts of acceptance and enables developers to apply this gained knowledge into their future designs.
Although poor reading and spelling skills have been associated with weak skills of executive functioning (EF), its role in literacy is not undisputed. Because EF has different theoretical underpinnings, methods of analysis and of assessing EF, it has led to varying and often contrasting results in its effects in children with dyslexia. The present study has two goals. The first goal is to establish the relationship between a large number of EF tasks and reading and spelling skills in a large number of Dutch dyslexic children (n = 229). More interesting, however, is the second aim. To what extent do EF skills predict progress in reading and spelling in dyslexic children who attend a remediation program? The results reveal small, but significant relationships between EF and reading and spelling skills, but no relationships between EF and progress in reading and spelling. It is concluded that training EF skills is unlikely to enhance reading and spelling skills.
MULTIFILE
Sinds de corona reset wordt in de culturele en creatieve sector volop geïnnoveerd om tijdelijke sluitingen en financiële verliezen te compenseren. Aanbieders van hoogwaardige culturele programma’s, zoals presentatie-instellingen en zelforganiserende collectieven, coördineren in hoog tempo digitale expositieruimtes, livestreams en online debatten, waarmee ze hun bestaande (offline en lokale) en nieuwe (online en mondiale) publiek bedienen. Soms ook tegelijkertijd, in een hybride evenement; met een beperkt live publiek én een onbeperkt aantal online bezoekers. Hoe zorgen zij dat beide groepen bij deze livecastings een gelijkwaardige ervaring hebben? En hoe benutten ze de potentie van dit opgenomen materiaal voor publicatie en blijvende publieksinteractie in hun digitaal (web)archief? Ad hoc coronaoplossingen behoeven nu toekomstbestendige doorontwikkeling. Met MKB’ers ontwikkelen we een langetermijnvisie op off/online kennisdeling van hun culturele aanbod, op voorwaarden van duurzaamheid en technologische onafhankelijkheid in het beheer en de data-opslag van hun gepubliceerde materiaal. Verregaande digitalisering en klimaatoverwegingen geven namelijk naast corona urgentie aan een visie op hybride programmering. In het onderzoek worden werkende principes ontwikkeld voor een langetermijnvisie op een hybride en kwalitatief hoogwaardig programma-aanbod, met het oog op het bedienen van nieuw en bestaand publiek na de corona reset, via participatieve livecasts van evenementen, de samenhangende verslaglegging daarvan middels publicaties die uiteindelijk in levende archieven te komen: Om het knelpunt van ‘schermmoeheid’ bij eindgebruikers van programma-aanbod te voorkomen, ontwikkelen we werkende principes in het oplossingsgebied ‘participatieve livecasting’, om de succespijler ‘gezamenlijke publiekservaring bij online evenementen’ te bewerkstelligen. Om het knelpunt van ‘gefragmenteerde informatievoorziening’ bij programma-aanbieders te voorkomen, ontwikkelen we werkende principes in het oplossingsgebied ‘hybride publicaties’, om de succespijler ‘samenhang in off/online programma-aanbod’ te bewerkstelligen. Om het knelpunt van een ‘reactieve houding’ bij programma-aanbieders te voorkomen, ontwikkelen we werkende principes in het oplossingsgebied ‘levende archieven’, om de succespijler van een ‘anticiperende houding in de werkwijze van programma-aanbieders’ te bewerkstelligen.
Despite the benefits of the widespread deployment of diverse Internet-enabled devices such as IP cameras and smart home appliances - the so-called Internet of Things (IoT) has amplified the attack surface that is being leveraged by cyber criminals. While manufacturers and vendors keep deploying new products, infected devices can be counted in the millions and spreading at an alarming rate all over consumer and business networks. The objective of this project is twofold: (i) to explain the causes behind these infections and the inherent insecurity of the IoT paradigm by exploring innovative data analytics as applied to raw cyber security data; and (ii) to promote effective remediation mechanisms that mitigate the threat of the currently vulnerable and infected IoT devices. By performing large-scale passive and active measurements, this project will allow the characterization and attribution of compromise IoT devices. Understanding the type of devices that are getting compromised and the reasons behind the attacker’s intention is essential to design effective countermeasures. This project will build on the state of the art in information theoretic data mining (e.g., using the minimum description length and maximum entropy principles), statistical pattern mining, and interactive data exploration and analytics to create a casual model that allows explaining the attacker’s tactics and techniques. The project will research formal correlation methods rooted in stochastic data assemblies between IoT-relevant measurements and IoT malware binaries as captured by an IoT-specific honeypot to aid in the attribution and thus the remediation objective. Research outcomes of this project will benefit society in addressing important IoT security problems before manufacturers saturate the market with ostensibly useful and innovative gadgets that lack sufficient security features, thus being vulnerable to attacks and malware infestations, which can turn them into rogue agents. However, the insights gained will not be limited to the attacker behavior and attribution, but also to the remediation of the infected devices. Based on a casual model and output of the correlation analyses, this project will follow an innovative approach to understand the remediation impact of malware notifications by conducting a longitudinal quasi-experimental analysis. The quasi-experimental analyses will examine remediation rates of infected/vulnerable IoT devices in order to make better inferences about the impact of the characteristics of the notification and infected user’s reaction. The research will provide new perspectives, information, insights, and approaches to vulnerability and malware notifications that differ from the previous reliance on models calibrated with cross-sectional analysis. This project will enable more robust use of longitudinal estimates based on documented remediation change. Project results and methods will enhance the capacity of Internet intermediaries (e.g., ISPs and hosting providers) to better handle abuse/vulnerability reporting which in turn will serve as a preemptive countermeasure. The data and methods will allow to investigate the behavior of infected individuals and firms at a microscopic scale and reveal the causal relations among infections, human factor and remediation.
