Mobile HCI

2014 ◽  
Vol 6 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Robin Deegan
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Location Based Services ◽  
Battery Life ◽  
Complex Environments ◽  
Processing Power ◽  
Communal Areas ◽  
And Performance ◽  
The Relationship ◽  
Mental Resources

Humans are approaching a new and intriguing time with regards to Mobile Human Computer Interaction. For years we have observed the processing power, memory capabilities and battery life of the mobile device increase exponentially. While at the same time mobile devices were converging with additional technologies such as increased connectivity, external peripherals, GPS and location based services etc. But what are the cognitive costs associated with these advancements? The software used on mobile devices is also becoming more sophisticated, demanding more from our limited mental resources. Furthermore, this complex software is being used in distracting environments such as in cars, busses, trains and noisy communal areas. These environments, themselves, have steadily become increasingly more complex and cognitively demanding. Increasingly complex software, installed on increasingly complex mobile devices, being used in increasing complex environments is presenting Mobile HCI with serious challenges. This paper presents a brief overview of five experiments before presenting a final experiment in detail. These experiments attempt to understand the relationship between cognition, distraction, usability and performance. The research determines that some distractions affect usability and not performance while others affect performance but not usability. This paper concludes with a reinforced argument for the development of a cognitive load aware system.

scholarly journals From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices

Sensors ◽  
2016 ◽  
Vol 16 (2) ◽  
pp. 184 ◽  
Author(s):  
Ivan Pires ◽  
Nuno Garcia ◽  
Nuno Pombo ◽  
Francisco Flórez-Revuelta
Keyword(s):  
Data Fusion ◽  
Activities Of Daily Living ◽  
Mobile Devices ◽  
Daily Living ◽  
State Of The Art ◽  
The State ◽  
Sensor Data ◽  
Battery Life ◽  
Sensor Data Fusion ◽  
Processing Power

This paper focuses on the research on the state of the art for sensor fusion techniques, applied to the sensors embedded in mobile devices, as a means to help identify the mobile device user’s daily activities. Sensor data fusion techniques are used to consolidate the data collected from several sensors, increasing the reliability of the algorithms for the identification of the different activities. However, mobile devices have several constraints, e.g., low memory, low battery life and low processing power, and some data fusion techniques are not suited to this scenario. The main purpose of this paper is to present an overview of the state of the art to identify examples of sensor data fusion techniques that can be applied to the sensors available in mobile devices aiming to identify activities of daily living (ADLs).

Study on Location Based Services Driven Mobile E-Commerce System

2013 ◽  
Vol 734-737 ◽  
pp. 3214-3219
Author(s):  
Hai Dong Zhong ◽  
Ping Li ◽  
Shao Zhong Zhang ◽  
Wen Ting Yuan ◽  
Xu Dong Zhao ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Location Based Services ◽  
Prototype System ◽  
Security Risks ◽  
Privacy And Security ◽  
Positioning Accuracy ◽  
Business Markets ◽  
Key Issues ◽  
Novel Concept

With the tremendous advances in mobile computing and communication capabilities, rapid proliferation of mobile devices, increasing powerful functions, and decreasing device costs, we are seeing a explosively growth in mobile e-commerce in various consumer and business markets. On the basis of analyzing demands of both buyers and seller in mobile e-commerce, the paper put forward a novel concept and technological framework of Location Based Services (LBS) driven mobile e-commerce. Some LBS related functions, in mobile device terminal, of the prototype system based on the architecture put forward are implemented. Also, some key issues of LBS based mobile e-commerce, such as positioning accuracy and new privacy and security risks, are discussed in detail.

scholarly journals LOCATE-US: Indoor Positioning for Mobile Devices Using Encoded Ultrasonic Signals, Inertial Sensors and Graph-Matching

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1950
Author(s):  
David Gualda ◽  
María Carmen Pérez-Rubio ◽  
Jesús Ureña ◽  
Sergio Pérez-Bachiller ◽  
José Manuel Villadangos ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Acoustic Waves ◽  
Graph Matching ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Indoor Positioning ◽  
Location Based Services ◽  
Global Navigation Satellite Systems ◽  
Positioning Systems

Indoor positioning remains a challenge and, despite much research and development carried out in the last decade, there is still no standard as with the Global Navigation Satellite Systems (GNSS) outdoors. This paper presents an indoor positioning system called LOCATE-US with adjustable granularity for use with commercial mobile devices, such as smartphones or tablets. LOCATE-US is privacy-oriented and allows every device to compute its own position by fusing ultrasonic, inertial sensor measurements and map information. Ultrasonic Local Positioning Systems (U-LPS) based on encoded signals are placed in critical zones that require an accuracy below a few decimeters to correct the accumulated drift errors of the inertial measurements. These systems are well suited to work at room level as walls confine acoustic waves inside. To avoid audible artifacts, the U-LPS emission is set at 41.67 kHz, and an ultrasonic acquisition module with reduced dimensions is attached to the mobile device through the USB port to capture signals. Processing in the mobile device involves an improved Time Differences of Arrival (TDOA) estimation that is fused with the measurements from an external inertial sensor to obtain real-time location and trajectory display at a 10 Hz rate. Graph-matching has also been included, considering available prior knowledge about the navigation scenario. This kind of device is an adequate platform for Location-Based Services (LBS), enabling applications such as augmented reality, guiding applications, or people monitoring and assistance. The system architecture can easily incorporate new sensors in the future, such as UWB, RFiD or others.

scholarly journals Optimization of mobile device energy consumption in a fog-based mobile computing offloading mechanism

2021 ◽  
Vol 29 (1) ◽  
pp. 53-62
Author(s):  
Anastasia V. Daraseliya ◽  
Eduard S. Sopin
Keyword(s):  
Energy Consumption ◽  
Response Time ◽  
Mobile Devices ◽  
Mobile Device ◽  
Mobile Applications ◽  
Optimization Problem ◽  
Fog Computing ◽  
Computing System ◽  
Battery Life ◽  
Average Response Time

The offloading of computing tasks to the fog computing system is a promising approach to reduce the response time of resource-greedy real-time mobile applications. Besides the decreasing of the response time, the offloading mechanisms may reduce the energy consumption of mobile devices. In the paper, we focused on the analysis of the energy consumption of mobile devices that use fog computing infrastructure to increase the overall system performance and to improve the battery life. We consider a three-layer computing architecture, which consists of the mobile device itself, a fog node, and a remote cloud. The tasks are processed locally or offloaded according to the threshold-based offloading criterion. We have formulated an optimization problem that minimizes the energy consumption under the constraints on the average response time and the probability that the response time is lower than a certain threshold. We also provide the numerical solution to the optimization problem and discuss the numerical results.

scholarly journals TAMEC: Trusted Augmented Mobile Execution on Cloud

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Syed Luqman Shah ◽  
Irshad Ahmed Abbasi ◽  
Alwalid Bashier Gism Elseed ◽  
Sikandar Ali ◽  
Zahid Anwar ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Secure Communication ◽  
Communication Channel ◽  
Battery Life ◽  
Trusted Platform Module ◽  
Symmetric Key ◽  
Mobile Clients ◽  
Trusted Platform ◽  
Working Out

Cloud computing has emerged as an attractive platform for individuals and businesses to augment their basic processing capabilities. Mobile devices with access to Internet are also turning towards clouds for resource-intensive tasks by working out a trade-off between resources required for performing computation on-device against those required for off-loading task to the cloud. However, as with desktop clients, mobile clients face significant concerns related to confidentiality and integrity of data and applications moved to and from the cloud. Cloud-related security solutions proposed for desktop clients could not be readily ported to mobile clients owing to the obvious limitation in their processing capabilities and restrained battery life. We address this problem by proposing architecture for secure exchange and trusted execution between mobile devices and cloud hosts. We establish a symmetric-key-based secure communication channel between mobile and cloud, backed by a trusted coordinator. We also employee a Trusted Platform Module- (TPM-) based attestation of the cloud nodes on which the data and applications of mobile device will be hosted. This gives a comprehensive solution for end-to-end secure and trusted interaction of the mobile device with cloud hosts.

scholarly journals Investigating energy harvesting technology to wirelessly change batteries of mobile devices

2018 ◽  
Author(s):  
◽  
Neetu Ramsaroop
Keyword(s):  
Energy Harvesting ◽  
Radio Frequency ◽  
Mobile Devices ◽  
Mobile Device ◽  
Turnover Time ◽  
Simulation Software ◽  
Prototype Model ◽  
Battery Life ◽  
Research Project ◽  
Radio Signals

Mobile devices have recently become powerful computing tools for aiding daily tasks. However, their batteries discharge quickly, even if they are not being used mainly because of the heavy computation tasks required by the multimedia applications that run on them. The swift turnover time on the battery life span is challenging as frequent charging is required to keep the device functioning. This is a major bottleneck because of the current energy optimisation crisis, user inconvenience due to constant charging of a battery and erratic nature of the electricity supply in some areas. In the current research project, the primary aim was to explore the energy harvesting technology innovation of radio frequency to wirelessly recharge the batteries of mobile devices. This implied an alternative way of charging the batteries of mobile devices without the need for a physical charger to connect to an electrical outlet. Energy harvesting, which involves making use of free energy from the atmosphere is the most innovative energy efficient wireless charging technology because mobile devices are constantly transmitting radio signals. Radio signals are initially received from the atmosphere through an antenna. Thereafter, these signals are converted using a rectifier circuit, from alternating current into direct current which is then utilised to recharge the battery of a mobile device. This research study adopted a mathematical modelling and simulation research methods. The model involved building an RF energy harvesting prototype. This prototype model displayed the limitations to be considered. The LTSpice simulation software was used to test the feasibility of combining diodes, capacitors and antenna type based on the limitations of the prototype model. The result of this research project demonstrates the building of a radio frequency harvesting circuit that can store a minimum load of 5mV that is required to charge the battery of a mobile device. Moreover, it has explained an alternative storage of the acquired energy using a supercapacitor compared to a mobile device battery.

scholarly journals Layanan Berbasis Lokasi Hotel Menggunakan Realitas Tertambah

2017 ◽  
Vol 7 (2) ◽  
pp. 120
Author(s):  
Nur Imansyah ◽  
Sri Handani Widiastuti
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mobile Devices ◽  
Mobile Device ◽  
High Mobility ◽  
Location Based Services ◽  
Virtual Objects ◽  
Real Objects ◽  
Gps Devices ◽  
Output Information

Getting information in real time at specific times and locations is especially needed when users have high mobility. But often users are not familiar with the area, so difficulty in finding locations and information. The development of technology for location based services and augmented reality makes it easy to get information from available resources in locations using mobile devices equipped with GPS devices. The research aims to combine hotel location based services and augmented reality in android-based mobile device by manipulating virtual objects into real objects through the camera as input and mobile phone display as output.The integration of hotel location based services and augmented reality is useful for hotel users to be able to search hotel information by directing the camera mobile device in the direction of specific targets to be retrieved information. The output of the system is provided in real time on the mobile device display for the user. Output information provided in the direction of location of the hotel object and information about the object of the hotel. 

scholarly journals Exploration of Location based Services using AI for Mobile Cloud Services

2020 ◽  
Vol 9 (6) ◽  
pp. 564-567
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Mobile User ◽  
Cloud Services ◽  
Location Based Services ◽  
Cloud System ◽  
Mobile Users ◽  
Mobile Cloud ◽  
Major Work

Mobile devices have several sensors, including GPS that can capture information about the location of a mobile user. The use of certain devices will, therefore, simplify services and make it simpler for operators to respond to the demands of mobile users. The main aim of this analysis is to incorporate middleware to pick suitable cloud services that leverage from mobile device position and cost preferences. If the number of small activities within a meta feature exceeds the number of major work, the Max min algorithm device operations are conducted in addition to big tasks, where the design of the process is dependent on how many functions it does. The model is wide since tasks cannot be conducted simultaneously. A new amendment to the computation system is used to overcome the drawbacks of the Max-Min algorithm. It encompasses the positives of Max-Min and eliminates drawbacks. This study focuses specifically on the number of resources and incidents. The work can be further expanded with the algorithm suggested for the cloud system and several other parameters such as scalability, performance, reliability, and others can be taken into account.

A model to predict quality of a reduced ontology for Web service discovery on mobile devices

2014 ◽  
Vol 29 (2) ◽  
pp. 201-216
Author(s):  
Dan Schrimpsher ◽  
Letha Etzkorn
Keyword(s):  
Web Services ◽  
Web Service ◽  
Mobile Devices ◽  
Mobile Device ◽  
Service Discovery ◽  
Prediction Models ◽  
Support Service ◽  
Knowledge Content ◽  
And Performance

AbstractAs Web Services and the Semantic Web become more important, enabling technologies such as Web service ontologies will grow larger. At the same time, use of mobile devices to access Web services has doubled in the last year. The ability of these resource-constrained devices to download and reason across ontologies to support service discovery are severely limited. Since concrete agents typically only needs a subset of what is described in a Web service ontology to complete their task, a reduced ontology can be created. Measuring the quality of a reduced ontology, in both knowledge content and performance, is a nontrivial task. Expert analysis of the ontologies is time-consuming and unreliable. We propose two measures of knowledge content and performance. Mean average recall (MAR) with respect to the original ontology compares the data returned from a series of queries related to a particular concept of interest. Mean average performance (MAP) compares the download and reasoning speedup of the reduced ontology with respect to the original ontology. Neither of these values can be computed easily, therefore we propose a set of ontology metrics to predict these values. In this paper, we develop two prediction models for MAR and MAP based on these metrics. These models are based on analysis of 23 ontologies from five domains. To compute MAR, a specific set of queries for each domain was applied to each candidate reduced ontology along with the original ontology. To compute MAP, a simulated mobile device will download and process of each ontology along with the original ontology. We believe this model allows a speedy selection of a reduced ontology that contains the knowledge content and performance speedup needed by a mobile device for service discovery.

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