I Spy with my Little Sensor Eye - Effect of Data-Tracking and Convenience on the Intention to Use Smart Technology.

The increasing number of smart objects in private households leads to a profound invasion of privacy. Based on privacy calculus theory, we assume that many users accept tracking in exchange for full functioning and convenience. However, privacy calculus has not yet been tested in an area where privacy protection is a binary decision: to either use a product or not. Therefore, we examined the effect of convenience and tracking on the intention to use a smart device in a 2 x 2 between-subjects online experiment (N = 209). While convenience is a major factor for the willingness to deploy smart technology, users do not seem to care whether these devices track their personal data or not

The Implications of New Technologies on Privacy Rights

The rise in new technologies is very essential in this contemporary world and it has facilitated the communication sector, improve health and economic development. These new digital tools has made life somehow comfortable and accelerated economic growth in the universe. Nevertheless, these digital tools are a threat to privacy of persons.in the course of manipulating these gadgets, they infringe on the rights of privacy of individuals. Some people misuse these gadgets and they do not use it responsibly.Tehila Schwarz noted that”privacy is in the hands of a digital world”. A smartphone has multiple functions to invade the privacy of individual, because a smartphone can record messages, videotape events, likewise Close Circuit Television Cameras (CCTV), which are installed in homes and streets, they monitor individuals silently, they are installed for security purpose but in the course of monitoring the activities of individuals, they cross the boundary to invade privacy of persons, because they monitor everybody under the vicinity of the camera. Similarly, an instrument like Global Positioning System (GPS) is capable to detect the position or location of persons, it is use to track individual’s movement and position and even cars .These tools are all imperative for our wellbeing but it intrudes on the privacy of individuals

Data Epistemologies / Surveillance and Uncertainty

Data Epistemologies studies the changing ways in which ‘knowledge’ is defined, promised, problematised, legitimated vis-á-vis the advent of digital, ‘big’ data surveillance technologies in early twenty-first century America. As part of the period’s fascination with ‘new’ media and ‘big’ data, such technologies intersect ambitious claims to better knowledge with a problematisation of uncertainty. This entanglement, I argue, results in contextual reconfigurations of what ‘counts’ as knowledge and who (or what) is granted authority to produce it – whether it involves proving that indiscriminate domestic surveillance prevents terrorist attacks, to arguing that machinic sensors can know us better than we can ever know ourselves. The present work focuses on two empirical cases. The first is the ‘Snowden Affair’ (2013-Present): the public controversy unleashed through the leakage of vast quantities of secret material on the electronic surveillance practices of the U.S. government. The second is the ‘Quantified Self’ (2007-Present), a name which describes both an international community of experimenters and the wider industry built up around the use of data-driven surveillance technology for self-tracking every possible aspect of the individual ‘self’. By triangulating media coverage, connoisseur communities, advertising discourse and leaked material, I examine how surveillance technologies were presented for public debate and speculation. This dissertation is thus a critical diagnosis of the contemporary faith in ‘raw’ data, sensing machines and algorithmic decision-making, and of their public promotion as the next great leap towards objective knowledge. Surveillance is not only a means of totalitarian control or a technology for objective knowledge, but a collective fantasy that seeks to mobilise public support for new epistemic systems. Surveillance, as part of a broader enthusiasm for ‘data-driven’ societies, extends the old modern project whereby the human subject – its habits, its affects, its actions – become the ingredient, the raw material, the object, the target, for the production of truths and judgments about them by things other than themselves

The potential use of smart cards in vehicle management with particular reference to the situation in Western Australia

Vehicle management may be considered to consist of traffic management, usage control, maintenance, and security. Various regulatory authorities undertake the first aspect, fleet managers will be concerned with all aspects, and owner-drivers will be interested mainly in maintenance and security. Car theft poses a universal security problem. Personalisation, including navigational assistance, might be achieved as a by-product of an improved management system. Authorities and fleet managers may find smartcards to be key components of an improved system, but owners may feel that the need for improved security does not justify its cost. This thesis seeks to determine whether smartcards may be used to personalise vehicles in order to improve vehicle management within a forseeable time and suggest when it might happen. In the process four broad questions are addressed. • First, what improvements in technology are needed to make any improved scheme using smartcards practicable, and what can be expected in the near future? • Second, what problems and difficulties may impede the development of improved management? • Third, what non-vehicle applications might create an environment in which a viable scheme could emerge? • Finally, is there a perceived need for improved vehicle management? The method involved a literature search, the issue of questionnaires to owner drivers and fleet managers, discussions with fleet managers, the preparation of data-flow and state diagrams, and the construction of a simulation of a possible security approach. The study concludes that although vehicle personalisation is possible- and desirable it is unlikely to occur within the next decade because the environment needed to make it practicable will not emerge until a number of commercial and standardisation problems that obstruct all smartcard applications have been solved

The Internet of Things Connectivity Binge: What are the Implications?

Despite wide concern about cyberattacks, outages and privacy violations, most experts believe the Internet of Things will continue to expand successfully the next few years, tying machines to machines and linking people to valuable resources, services and opportunities

Investigating Real-time Touchless Hand Interaction and Machine Learning Agents in Immersive Learning Environments

The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. eXtended Reality (XR), with its potential to bridge the virtual and real environments, creates new possibilities to develop more engaging and productive learning experiences. Evidence is emerging that thissophisticated technology offers new ways to improve the learning process for better student interaction and engagement. Recently, immersive technology has garnered much attention as an interactive technology that facilitates direct interaction with virtual objects in the real world. Furthermore, these virtual objects can be surrogates for real-world teaching resources, allowing for virtual labs. Thus XR could enable learning experiences that would not bepossible in impoverished educational systems worldwide. Interestingly, concepts such as virtual hand interaction and techniques such as machine learning are still not widely investigated in immersive learning. Hand interaction technologies in virtual environments can support the kinesthetic learning pedagogical approach, and the need for its touchless interaction nature hasincreased exceptionally in the post-COVID world. By implementing and evaluating real-time hand interaction technology for kinesthetic learning and machine learning agents for self-guided learning, this research has addressed these underutilized technologies to demonstrate the efficiency of immersive learning. This thesis has explored different hand-tracking APIs and devices to integrate real-time hand interaction techniques. These hand interaction techniques and integrated machine learning agents using reinforcement learning are evaluated with different display devices to test compatibility. The proposed approach aims to provide self-guided, more productive, and interactive learning experiences. Further, this research has investigated ethics, privacy, and security issues in XR and covered the future of immersive learning in the Metaverse.<br/

Analisis Faktor-Faktor yang Mempengaruhi Intention to Use Online Food Delivery Services: Telaah pada Gen Z Calon Pengguna ShopeeFood

Pandemic Covid-19 meningkatkan penggunaan layanan digital, dimana konsumen, terutama Gen Z banyak yang beralih ke perilaku pembelanjaan online untuk memenuhi kebutuhan mereka, salah satunya membeli makanan melalui online food delivery services. Beberapa alasan konsumen menggunakan online food delivery services, yaitu praktis, tidak memiliki waktu untuk memasak, dan bosan dengan makanan rumahan. Kondisi pandemic dan perubahan perilaku konsumen ke pembelanjaan online menjadi peluang besar bagi industri online food delivery services. Melihat peluang yang besar tersebut, Shopee yang merupakan salah satu e-commerce turut menciptakan online food delivery services dengan nama ShopeeFood. Dalam industri online food delivery services tersebut, sudah terdapat 2 pemain utama, yaitu GrabFood dan GoFood. Mayoritas masyarakat memilih layanan GrabFood dan GoFood untuk memesan makanan, sehingga pengguna ShopeeFood masih tergolong kecil saat ini. Hal ini dikarenakan list restoran dan persebaran GrabFood serta GoFood lebih banyak jika dibandingkan ShopeeFood. Maka dari itu, hal tersebut menjadi tantangan bagi ShopeeFood untuk mengembangkan bisnisnya dan mendapat perhatian, serta kepercayaan konsumen. Penelitian ini bertujuan untuk memberikan wawasan terkait faktor-faktor yang mempengaruhi intention to use Gen Z terhadap online food delivery services. Sebuah survei online dilakukan dengan menyebarkan kuesioner, kemudian dianalisis dengan metode regresi berganda untuk menguji hubungan antar variabel. Hasil survei yang memenuhi screening yaitu 185 jawaban, yang kemudian dianalisis datanya dan diuji hipotesisnya menggunakan perangkat lunak SPSS versi 26. Hasil penelitian tersebut menunjukkan bahwa Societal Pressure, Convenience, Listing dan Search of Restaurant berpengaruh positif terhadap Intention to Use Online Food Delivery Services, sedangkan Delivery Experience, Customer Experience, Quality Control, dan Ease of Use tidak berpengaruh positif terhadap Intention to Use Online Food Delivery Services

Investigating Real-time Touchless Hand Interaction and Machine Learning Agents in Immersive Learning Environments

The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. eXtended Reality (XR), with its potential to bridge the virtual and real environments, creates new possibilities to develop more engaging and productive learning experiences. Evidence is emerging that thissophisticated technology offers new ways to improve the learning process for better student interaction and engagement. Recently, immersive technology has garnered much attention as an interactive technology that facilitates direct interaction with virtual objects in the real world. Furthermore, these virtual objects can be surrogates for real-world teaching resources, allowing for virtual labs. Thus XR could enable learning experiences that would not bepossible in impoverished educational systems worldwide. Interestingly, concepts such as virtual hand interaction and techniques such as machine learning are still not widely investigated in immersive learning. Hand interaction technologies in virtual environments can support the kinesthetic learning pedagogical approach, and the need for its touchless interaction nature hasincreased exceptionally in the post-COVID world. By implementing and evaluating real-time hand interaction technology for kinesthetic learning and machine learning agents for self-guided learning, this research has addressed these underutilized technologies to demonstrate the efficiency of immersive learning. This thesis has explored different hand-tracking APIs and devices to integrate real-time hand interaction techniques. These hand interaction techniques and integrated machine learning agents using reinforcement learning are evaluated with different display devices to test compatibility. The proposed approach aims to provide self-guided, more productive, and interactive learning experiences. Further, this research has investigated ethics, privacy, and security issues in XR and covered the future of immersive learning in the Metaverse.<br/