Mobile Consumer Research Articles

Application of <i>in</i>-<i>situ</i> characterization techniques in all-solid-state lithium batteries

In recent years, mobile consumer electronics and electric vehicles have been developing rapidly, and they have been hunting for lithium batteries with high energy density, high safety and stability, to alleviate the range anxiety and improve their stability over long term operations. These make all-solid-state lithium batteries very attractive and they have been under intense investigations. However, the development of high-performance all-solid-state lithium batteries requires an in-depth understanding of their charge and discharge mechanism, their degradation process, along with the evolution of the microstructures, phase compositions, chemical states and their distributions, etc., inside the battery and at the interface. This paper summarizes the basic principles, functions, and the representative advances in investigation of the dynamics and failure mechanism of electrode materials and interfaces in solid-state lithium batteries under working conditions, with typical <i>in-situ</i> characterization techniques, including in-situ microscopy (in-situ scanning electron microscopy (SEM), in-situ transmission electron microscopy (TEM)), in-situ X-ray techniques (<i>in-situ</i> X-ray diffraction (XRD)), in-situ X-ray photoelectron spectroscopy (XPS), <i>in-situ</i> near-edge structure X-ray absorption spectroscopy (XANES), <i>in-situ</i> X-ray tomography), <i>in-situ</i> neutron techniques (<i>in-situ</i> neutron diffraction (ND), <i>in-situ</i> neutron depth profiling (NDP)) and <i>in-situ</i> spectroscopies (<i>in-situ</i> Raman spectroscopy, <i>in-situ</i> nuclear magnetic resonance (NMR) and <i>in-situ</i> nuclear magnetic resonance imaging (MRI)), etc. We also discussed the application of future advanced in-situ characterization techniques in the investigation of all-solid-state lithium batteries.

Users’ Behavioral Intention and Adoption of Mobile Shopping Applications on the Smartphone Platform

Research background: We draw on a substantial body of theoretical and empirical research on users’ behavioral intention and adoption of mobile shopping applications on the smartphone platform globally, Purpose of the article: We inspected, used, and replicated survey data from eMarketer, Adobe, Bizrate Insights, Econsultancy, eMarketer, and Retail Dive, performing analyses and making estimates regarding smartphone retail m-commerce sales in the U.S. ($), top reasons EU consumers use smartphones in stores, and activities EU smartphone/tablet owners have done using apps on their smartphone/tablet in the past month. Methods: Structural equation modeling was used to analyze the data and test the proposed conceptual model. Findings & Value added: Mobile payment is a user-oriented manner of finalizing transactions as a result of the growing fashionableness of smartphones and the advancement of associated technologies. Superior ubiquity of mobile devices and swift mobile internet access result in higher quality offers and higher degrees of adoption of smartphones in commercial operations. Mobile retailers can raise the pool of prospective mobile purchasers by selecting individuals who are more knowledgeable in online buying and smartphone adoption. Consumers at a preliminary mobile shopping readiness stage allocate more relevance to omnipresence when compared with the habit in determining purchase intentions. As mobile consumers download and employ more applications, they confront the diminishing expenditures of acquiring further software.

Analyzing Purchase Decisions Using Dynamic Location Data

Retailers’ efforts to monetize consumer location data are still dominated by naive protocols such as geo-fencing – customizing marketing interactions based solely on the current location of all app users. While past research has noted the inefficiency of such approaches due to ignoring the heterogeneity of app users at any given location, alternative methods to monetize longitudinal consumer mobility data are scant in the literature. In this paper, we extend the methods of Ghose, Li, and Liu (2019) from continuously-measured indoor mobility trajectories to low-granularity urban mobility data. We determine consumers’ daily mobility trajectories, and for each day, we define the distance of each store from consumers’ “anticipated trajectories” by averaging store distance over all observed trajectories in the prior few days. To test our method, we model gas station choice during a six-month period in Staten Island, NY. Our data, also used to infer gas station visits, contain 11.7 million location records on 273 thousand devices observed near selected retailers including gas stations. We supplement our data with station-level daily fuel prices and, controlling for brand intercepts and station loyalty, estimate a conditional logit model to assess how consumers trade off gas prices versus store distance. We find that accounting for consumers’ location histories using our method allows for better out-of-sample predictive accuracy despite the generally strong station loyalty in the market. We also conduct counterfactual simulations, which reveal how the busiest traffic flows affect the geographic structure of competition in gasoline retail.

ArF laser-induced damage of calcium fluoride windows with protected anti-reflection coatings

High-power ArF lasers for high-volume production of mobile consumer microelectronics demand low loss and laser durable calcium fluoride (CaF2) laser-windows. Increased laser durability is realized by F-SiO2 protective coatings on CaF2 windows with subsurface-damage-free (SSD-free) surface finishing. Surface reflection loss is reduced by fluoride-based anti-reflection (AR) coatings. In this contribution, we integrated the protective coating with the fluoride-based AR coatings on SSD-free CaF2 windows and assessed the laser damage resistance of the window using an ArF laser with a pulse length of 20 ns and a rep rate of 20 Hz. Damage initiation sites were detected on the entrance surface at a fluence of 3.5 J / cm2. A 100% damage probability was determined at a fluence of 5 J / cm2. An absorption-driven thermal damage mechanism was indicated by the damage morphology. Similar laser damage resistance was realized on the protected AR-coated windows with more than 9% transmission gain when compared to that of the F-SiO2 protected CaF2 laser-windows. The results suggest that two-photon absorption is a dominant factor when nonlinear absorption occurs in the laser-irradiated CaF2 windows. The thermally induced damage could be further simulated using the experimentally determined two-photon absorption coefficient based on the ArF laser calorimetry technique.

Analysis of the Impact of Fast Charging on Aging for Smartphone Cells: A Case Study Using Synchrotron Based Techniques

With the rapid market increase of consumer electronic devices such as smartphones and tablets, the performance of lithium-ion batteries (LIBs) in such devices becomes an important factor. In particular, fast charging, longer lasting batteries and safety are primary concerns for consumers. Lithium cobalt oxide (LCO) is a common cathode material for these applications, and in smartphone applications with 1-2 cycles a day, LCO has been proven to be a good cathode with its high cycle life.1,2 However, besides offering high cycling stability and power density for mobile consumer applications, another requirement for LIBs utilized in smartphones and other portable electronic devices is the capability of fast charging, without a detrimental impact on the cycling stability. Different fast charging profiles can lead to various extents of degradation within the full cell. Consequently, strategies are needed to avoid or mitigate any negative impact of fast charging on battery capacity, power degradation and cycle life.In this work, we employed extensive synchrotron-based characterization methods on smartphone batteries (LCO/graphite), offering new insight into the various degradation mechanisms during fast charging. Specifically we focus on an in-house developed fast-charging profile based on a physics-based battery model and compare it with the fast charging profile provided by the OEM. We reveal how lithium plating occurring on the anode side during fast charging is ‘mirrored’ on the cathode side leading to inactive cathode areas that only participate partly in lithium intercalation. While no morphological changes were observed in the cathode opposing the plating sides on the anode, in-situ hard XAS spectroscopy shows that deactivated spots on the cathode are not as redox active anymore, and synchrotron micro XRD shows significant changes in the lattice d-spacing value. We conclude that a fast charging strategy derived from a physics-based model drastically reduces capacity fade and rate of impedance rise in a LCO/graphite smartphone cell as used in this work. References 1 L. Wang, J. Ma, C. Wang, X. Yu, R. Liu, F. Jiang, X. Sun, A. Du, X. Zhou and G. Cui, Adv. Sci., 2019, 6,1900355.2 M. S. Whittingham, Chem. Rev., 2004, 104, 4271–4302.

(Invited) Miniaturized Infrared Lenses Realized By Wafer Bonding Technologies

All surfaces in our surrounding radiate heat as an electromagnetic wave - similar to light, but invisible to our eyes. The ability to sense and quantify thermal radiation opens up a vast field of application scenarios such as person detection, thermal analysis of buildings or equipment, and health monitoring.Especially the latter has become a matter of utmost importance with the sudden outbreak of the SARS-CoV-2 pandemic in the beginning of 2020. In such an event, the most important task is to closely observe the spreading of the infection and to initiate adequate measures for social distancing.In many cultures, monitoring the health of citizens is a legally delicate issue, and prescribing confinement to an individual would raise difficult questions when it comes to compensate for lost wages. However, having precise instruments at hand to monitor and control the pandemic would allow governments to provide individual support rather than bringing the whole economy to a shutdown.The widespread availability of medical grade temperature sensors could contribute valuable information to a multi-parametric pandemic monitoring. Many infections are accompanied by an elevated body temperature, and often fever is not only one of the most obvious symptoms but also an early stage indicator. Hence, there is a renewed interest in ultra-small medical grade IR sensors which can be integrated into mobile consumer products such as wearables and smart phones.In order to produce IR sensors for a global mass market, a thorough consideration of all aspects on the system level is necessary to optimize cost, size and performance for the targeted application. Infrared detectors for temperature measurement have not yet reached high-volume applications for two main reasons: (1) The optical design necessitates far-infrared transparent materials like ZnSe, CaF or Ge, which are expensive and not always robust for the target application. (2) The state-of-the-art assembly and packaging mostly uses large metal housings (“TO cans”) for their vacuum capability. The size and price of such housings definitely prevents their integration into extremely compact, mobile devices.We are presenting a technological approach that allows effective scaling of production volumes into high quantities by using a fully wafer-based optical assembly and integration using spherical silicon lens preforms. The complete vacuum packaging and optical alignment are performed as a CMOS post-process in our MEMS cleanroom, using industrial state-of-the-art equipment for 200 mm wafers.Considering a spot thermometer where light just needs to be concentrated, convex lenses can either be manufactured as Fresnel lens or as a spherical lens. Both types can be produced only laboriously with standard Silicon technology using dry etching processes and generally multiple lithography cycles when it comes to larger apertures. For a small F number, the Fresnel lens would rather generate stray light than concentrate incoming radiation on the detector element. Additionally, it is not sufficient to just produce a lens - obtaining a precise spherical shape with defined radius of curvature with good uniformity across the wafer is challenging with etching processes. Expensive equipment would be needed for 100% optical test coverage and any lens failure or parametric deviation would equally bring down the CMOS yield when using wafer-to-wafer bonding.In our paper, a detailed review of the IR packaging solutions, lens materials and their fabrication process will be given. A novel technology platform being developed at Fraunhofer ISIT together with the end user will be presented. At the core of the fabrication process, preformed Si spheres with a defined curvature are used that are subsequently grinded to form multiple plano-convex lenses on the wafer level. The process is a new element in our glass forming process portfolio that already enabled many technological innovations in wafer-level optics. Using spherical preforms results in excellent optical properties for IR spot detectors and eliminates the need for expensive 100% optical testing. Although certain limitations with respect to the pitch and the availability of intermediate sphere sizes exist, a clever design (e.g. focal length adjustment, placement of IR pixels etc.) allows covering a commercially very relevant spot on the IR detector market. Figure 1

Parasite-host ecology: the limited impacts of an intimate enemy on host microbiomes

BackgroundImpacts of biotic stressors, such as consumers, on coral microbiomes have gained attention as corals decline worldwide. Corallivore feeding can alter coral microbiomes in ways that contribute to dysbiosis, but feeding strategies are diverse – complicating generalizations about the nature of consumer impacts on coral microbiomes.ResultsIn field experiments, feeding by Coralliophila violacea, a parasitic snail that suppresses coral growth, altered the microbiome of its host, Porites cylindrica, but these impacts were spatially constrained. Alterations in microbial community composition and variability were largely restricted to snail feeding scars; basal or distal areas ~ 1.5 cm or 6–8 cm away, respectively, were largely unaltered. Feeding scars were enriched in taxa common to stressed corals (e.g. Flavobacteriaceae, Rhodobacteraceae) and depauperate in putative beneficial symbionts (e.g. Endozoicomonadaceae) compared to locations that lacked feeding.ConclusionsPrevious studies that assessed consumer impacts on coral microbiomes suggested that feeding disrupts microbial communities, potentially leading to dysbiosis, but those studies involved mobile corallivores that move across and among numerous individual hosts. Sedentary parasites like C. violacea that spend long intervals with individual hosts and are dependent on hosts for food and shelter may minimize damage to host microbiomes to assure continued host health and thus exploitation. More mobile consumers that forage across numerous hosts should not experience these constraints. Thus, stability or disruption of microbiomes on attacked corals may vary based on the foraging strategy of coral consumers.

Marine Ecosystem Assessment for the Southern Ocean: Birds and Marine Mammals in a Changing Climate

The massive number of seabirds (penguins and procellariiformes) and marine mammals (cetaceans and pinnipeds) - referred to here as top predators - is one of the most iconic components of the Antarctic and Southern Ocean. They play an important role as highly mobile consumers, structuring and connecting pelagic marine food webs and are widely studied relative to other taxa. Many birds and mammals establish dense breeding colonies or use haul-out sites, making them relatively easy to study. Cetaceans, however, spend their lives at sea and thus aspects of their life cycle are more complicated to monitor and study. Nevertheless, they all feed at sea and their reproductive success depends on the food availability in the marine environment, hence they are considered useful indicators of the state of the marine resources. In general, top predators have large body sizes that allow for instrumentation with miniature data-recording or transmitting devices to monitor their activities at sea. Development of scientific techniques to study reproduction and foraging of top predators has led to substantial scientific literature on their population trends, key biological parameters, migratory patterns, foraging and feeding ecology, and linkages with atmospheric or oceanographic dynamics, for a number of species and regions. We briefly summarize the vast literature on Southern Ocean top predators, focusing on the most recent syntheses. We also provide an overview on the key current and emerging pressures faced by these animals as a result of both natural and human causes. We recognize the overarching impact that environmental changes driven by climate change have on the ecology of these species. We also evaluate direct and indirect interactions between marine predators and other factors such as disease, pollution, land disturbance and the increasing pressure from global fisheries in the Southern Ocean. Where possible we consider the data availability for assessing the status and trends for each of these components, their capacity for resilience or recovery, effectiveness of management responses, risk likelihood of key impacts and future outlook.

ReactiFi: Reactive Programming of Wi-Fi Firmware on Mobile Devices

Network programmability will be required to handle future increased network traffic and constantly changing application needs. However, there is currently no way of using a high-level, easy to use programming language to program Wi-Fi firmware. This impedes rapid prototyping and deployment of novel network services/applications and hinders continuous performance optimization in Wi-Fi networks, since expert knowledge is required for both the used hardware platforms and the Wi-Fi domain. In this paper, we present ReactiFi, a high-level reactive programming language to program Wi-Fi chips on mobile consumer devices. ReactiFi enables programmers to implement extensions of PHY, MAC, and IP layer mechanisms without requiring expert knowledge of Wi-Fi chips, allowing for novel applications and network protocols. ReactiFi programs are executed directly on the Wi-Fi chip, improving performance and power consumption compared to execution on the main CPU. ReactiFi is conceptually similar to functional reactive languages, but is dedicated to the domain-specific needs of Wi-Fi firmware. First, it handles low-level platform-specific details without interfering with the core functionality of Wi-Fi chips. Second, it supports static reasoning about memory usage of applications, which is important for typically memory-constrained Wi-Fi chips. Third, it limits dynamic changes of dependencies between computations to dynamic branching, in order to enable static reasoning about the order of computations. We evaluate ReactiFi empirically in two real-world case studies. Our results show that throughput, latency, and power consumption are significantly improved when executing applications on the Wi-Fi chip rather than in the operating system kernel or in user space. Moreover, we show that the high-level programming abstractions of ReactiFi have no performance overhead compared to manually written C code.

Utilization of Mobility Data in the Fight Against COVID-19.

Utilization of Mobility Data in the Fight Against COVID-19.

Mobility as a Service: An Exploratory Study of Consumer Mobility Behaviour

Key challenges in transportation need to be addressed to tackle the problems of fossil fuel emissions and worsened air quality in urban area. The development of a more efficient and clean transport system could benefit from mobility as a service (MaaS). The present paper aims to understand the determinants of the intention to adopt such a service. We test the Technology Acceptance Model (TAM) on mobility behavior and intention to adopt mobility as a service, and we analyze the role of perceived cost saving as a determinant for the perceived ease of use. Data were collected through a survey on a sample of 201 potential adopters. The findings show that for such a technology, perceived usefulness fully mediate the influence of perceived ese of use on the intention to adopt. Moreover, the effect of perceived cost saving on perceived ease of use is moderated by the life cycle of the technology. Implications for marketing managers and policy makers are discussed.

Psychoacoustic and noise annoyance of hard disk drive affects acoustic ergonomics and emotional wellness of consumers

Human hearing is a complex system due to the highly nonlinear nature of human ears. The ears perform many tasks simultaneously from identifying sound direction, estimating a distance from a sound source, masking of sound, and evaluating the noise. The objective sound power measurement is unable to convince the subjective nature of sound evaluation. Psychoacoustic measures such as sharpness, roughness, loudness, and fluctuation strength begin to show importance in understanding the quality of the sound from small interior such as Hard Disk Drive (HDD), which present in the most mobile consumer laptop. Two sets of jury tests have been performed to quantify the degree of HDD noise annoyance with psychoacoustic on broader age groups. The results indicate that the psychoacoustic have a close relationship with the HDD noise annoyance and age groups. The effect of laptop HDD on the user's emotional perceptions of different sound events caused by HDD's shows some participants are feeling less calm, annoyed, and excited as compared to before the jury tests.

Mobile-assisted showroomers: Understanding their purchase journey and personalities

Over the last decade, the retail sector has undergone a dramatic transformation, driven by rapid advances in consumer and retail technologies, an evolution of omnichannel environments, and changing consumers who increasingly use their smartphones inside brick-and-mortar retail stores as personal shopping assistants. In this context, showrooming has become a common practice for omnichannel mobile consumers (Flavián et al., 2020). The present study investigates the under-researched phenomenon of mobile-assisted showrooming behavior. Adopting an exploratory qualitative research approach, 31 semi-structured individual interviews were conducted with consumers in a metropolitan city in Queensland, Australia. The authors propose a shopper journey framework that challenges the sequential consumer decision-making process. Influenced by showrooming predispositions, mobile-assisted showroomers pursue a hybrid product evaluation phase that encapsulates both physical and mobile activities during the brick-and-mortar retail visit. In addition, the research identifies four unique personas of mobile-assisted showroomers. The results contribute to extant literature on omnichannel and showrooming behavior by identifying predispositions, behaviors, and segments of mobile-assisted showroomers. The study provides retailers with new strategies to segment mobile-assisted shoppers more effectively and understand their needs and shopping motivations.

CORNING BOOSTS DISPLAY DURABILITY, RESISTANCE WITH VICTUS

SEEKING TO BRING IMPROVED DURABILITY TO SMARTPHONE displays, Corning developed a new version of its chemically strengthened Gorilla Glass that is reportedly 25 percent better at resisting cracks when dropped than its predecessor. The new Gorilla Glass Victus (Latin for “way of living”) can withstand drops of up to 2 meters onto a hard, rough surface without cracking, compared to the 1.6-meter drop performance of Gorilla Glass 6. Corning says Victus is twice as resistant to scratching as Gorilla Glass 6, and almost four times as scratch-resistant as competitors' glass, based on lab testing with a specialized diamond point. Samsung is the first original equipment manufacturer (OEM) to adopt Victus, which it's using for the 6.9-inch display of its new Galaxy Note 20 Ultra 5G smartphone. Gorilla Glass has been a successful product for Corning, having been designed and incorporated into more than 8 billion devices by more than 45 major brands. However, as the company focused on developing glass that could resist breakage from consumers dropping their phones, the scratch resistance of the last few generations of Gorilla Glass (4, 5, and 6) hasn't been as good compared to earlier generations, says Bob O'Brien, the co-founder and president of Display Supply Chain Consultants (DSCC). “Gorilla Glass 3 was all about scratch, while Gorilla Glass 4, 5, and 6 were all about drop,” he says, noting that drop resistance and scratch resistance “fundamentally work at odds with each other” when developing new glass. Harder to Scratch Samsung, the first OEM to adopt Gorilla Glass Victus, is using it in the new Galaxy Note 20 Ultra 5G smartphone. Image: Courtesy of Samsung. According to Corning, the scratch resistance of Victus is up to four times better than competitive aluminosilicate. Image: Courtesy of Corning Corning's research indicates that consumers in the smartphone market in the US, China, and India rank durability as the second-most important consideration when purchasing a new phone, behind brand and ahead of other factors such as screen size, camera quality, and device thinness. Feedback from more than 90,000 consumers also indicated that drop and scratch performance was twice as important today as it was seven years ago. As a result, the company tasked its scientists with trying to enhance both areas, according to John Bayne, Corning's senior vice president and general manager for mobile consumer electronics. The lab results suggest that they've found success in Victus. “It's remarkable that they improved both at the same time,” O'Brien says. —Glen Dickson

Juice Recipe Recommendation System Using Machine Learning in MEC Environment

The combination of machine learning with healthcare services is emerging. However, when machine learning functions are executed on resource-constrained mobile consumer devices, the computing overhead will increase, and the user experience will deteriorate. In essence, the existing approaches delegate such tasks to a central cloud data center. However, data processing on remote cloud servers results in a long response latency. Therefore, this article proposes a machine learning-based smart recipe recommendation system that uses a local mobile edge computing server. The proposed system delegates the machine learning and recipe search tasks to the mobile edge computing server, thereby reducing the response latency for data processing and the computational burden placed on mobile user devices.

The importance of consumer motives for green mobility: A multi-modal perspective

While most consumers agree that adopting more sustainable mobility behaviors should be a priority, this attitude often fails to translate into actual behavior. We argue that this is because sustainable mobility products do not sufficiently satisfy consumer mobility motives. To investigate this issue from a multi-modal perspective, we first synthesized previous research into a general measure of superordinate consumer motives in the mobility domain. We then conducted a representative survey experiment in which potential mobility consumers (N = 504) reported their mobility motives and their purchase intentions for a diverse set of mobility products including electric vehicles, hybrid-electric vehicles, efficient fuel cars, electric bikes, annual public transport tickets and sport utility vehicles. In line with our expectations, mobility motives substantially contributed to explaining all purchase intentions on top of demographic variables and prior ownership. While environmental motives were the most important predictor, also status, financial, independence, safety and hedonic motives contributed substantially to the prediction of mobility purchase intentions. We discuss the importance of consumer motives as a basis for marketing and policy measures, to effectively promote sustainable mobility alternatives during the rise of multi-modal mobility.

A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC

Video playback on mobile consumer electronic (CE) devices is plagued by fluctuations in the network bandwidth and by limitations in processing and energy availability at the individual devices. Seen as a potential solution, the state-of-the-art adaptive streaming mechanisms address the first aspect, yet the efficient control of the decoding-complexity and the energy use when decoding the video remain unaddressed. The quality of experience (QoE) of the end-users’ experiences, however, depends on the capability to adapt the bit streams to both these constraints (i.e., network bandwidth and device’s energy availability). As a solution, this paper proposes an encoding framework that is capable of generating video bit streams with arbitrary bit rates and decoding-complexity levels using a decoding-complexity–rate–distortion model. The proposed algorithm allocates rate and decoding-complexity levels across frames and coding tree units (CTUs) and adaptively derives the CTU-level coding parameters to achieve their imposed targets with minimal distortion. The experimental results reveal that the proposed algorithm can achieve the target bit rate and the decoding-complexity with 0.4% and 1.78% average errors, respectively, for multiple bit rate and decoding-complexity levels. The proposed algorithm also demonstrates a stable frame-wise rate and decoding-complexity control capability when achieving a decoding-complexity reduction of 10.11 (%/dB). The resultant decoding-complexity reduction translates into an overall energy-consumption reduction of up to 10.52 (%/dB) for a 1 dB peak signal-to-noise ratio (PSNR) quality loss compared to the HM 16.0 encoded bit streams.

Perils of Location Tracking? Personalized and Interpretable Privacy Preservation in Consumer Mobile Trajectories

Consumer location tracking is becoming omnipresent on mobile devices, producing massive volumes of behavior-rich location data and an elaborate multi-billion dollar ecosystem consisting of consumers providing data, third-party data collectors aggregating data, and advertisers using the data for targeting. While such entities can benefit from accessing location data, potential privacy risks do exist. This calls for the data collector to develop an effective privacy-preserving framework before sharing data with advertisers to balance the privacy risks to consumers and data utility to advertisers. We hence propose a personalized framework for the data collector to quantify the consumer-level privacy risks and perform consumer-level data obfuscation to accomplish the privacy-utility trade-off. The framework is also flexible and generalizable to accommodate a variety of risks and utilities. We illustrate the power of the framework with two specific privacy risks (inference of a sensitive attribute such as home location, and re-identification of a consumer from a subset of locations known apriori) and two utilities (location prediction and activity-timing prediction) with machine learning methods. Validating the framework on one million consumer trajectories, we demonstrate the potential privacy risks in the absence of data obfuscation. For instance, an individual's home location can be predicted with 84% success, or within an average radius of 2.5 miles; a consumer (and hence his/her entire trajectory) can be fully identified with 49% success by knowing merely two randomly sampled locations visited by the consumer. Outperforming multiple baselines from the latest literature, the proposed framework significantly reduces each consumer's privacy risk (e.g., by 15% in home inference) while preserving an advertiser's utility. As novel and powerful mobile location data become increasingly leveraged by business leaders, this research offers a personalized and generalizable framework that balances privacy risks and data utilities to sustain a healthier ecosystem based on location data.

PENGARUH IKLAN, KEPERCAYAAN MEREK DAN CITRA MEREK TERHADAP MINAT BELI KONSUMEN PENGGUNA HANDPHONE OPPO DI KOTA BIMA

This study aims to determine whether the advertising variables, brand trust and brand image partially and simultaneously affect Oppo Mobile Consumer Interest of buying in the City of Bima. This study uses survey design on respondents by distributing questionnaires to 96 people. The population in this study is not measurable (Unknown population). The sample was 96 people with accidental sampling technique. data collection using a questionnaire with a Likert scale, observation, literature study . Data analysis using the validity test, reliability test, multiple linear regression, t test and F test using SPSS 20.00. The results show that Advertising (X1) influences Consumer Purchase Interest, Brand Trust (X2) does not affect Buy Interest, Brand Image (X3) influences Consumer Buying Interest and together Advertising (X1), Brand Trust (X2), Brand Image (X3) influences Interest of Buying

FATORES INFLUENCIADORES DO COMPORTAMENTO DO CONSUMIDOR DE MOBILE BANKING

Objetiva-se, neste artigo, analisar qual fator norteia o comportamento dos consumidores dos serviços de mobille banking. Dessa forma, o problema da pesquisa é: Qual fator norteador do comportamento do consumidor é mais visível nos usuários do serviço de mobile banking? Para isso foi necessário avaliar os fatores influenciadores do comportamento dos consumidores de mobile banking, os quais são: atitude comportamental, norma subjetiva e controle percebido que fazem parte da TCP decomposto. Ao desenvolver essa pesquisa fez-se a aplicação de questionários por meio do Microsoft formulários, com 167 usuários do mobile. O método de pesquisa utilizado foi dedutivo, de abordagem qualitativa e quantitativa, e aplicada pelo uso da escala Likert. A partir da pesquisa foi possível analisar informações dos respondentes com relação aos constructos aqui estudados, com isso observou-se que o fator atitude foi o que mais se destacou na intenção comportamental com relação aos outros fatores. Conclui-se que as pessoas são regidas por premissas que contribuem ao seu favorecimento, ou seja, ao seu desempenho e com base naquilo que irá reduzir seus esforços.