Pervasive Computing in the Supermarket

2010 ◽  
Vol 2 (3) ◽  
pp. 31-43 ◽  
Author(s):  
Darren Black ◽  
Nils Jakob Clemmensen ◽  
Mikael B. Skov
Keyword(s):  
Empirical Study ◽  
Pervasive Computing ◽  
Real World ◽  
Context Awareness ◽  
Empirical Evaluation ◽  
Context Aware ◽  
User Attention ◽  
Context Aware System ◽  
Mobile Context ◽  
Interactive Experience

Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. Based on an empirical study of supermarket shoppers, the authors designed a mobile context-aware system called the Context-Aware Shopping Trolley (CAST). The purpose of CAST is to support shopping in supermarkets through context-awareness and acquiring user attention, thus, the authors’ interactive trolley guides and directs shoppers in the handling and finding of groceries. An empirical evaluation showed that shoppers using CAST behaved differently than shoppers using a traditional trolley. Specifically, shoppers using CAST exhibited a more uniform pattern of product collection and found products more easily while travelling a shorter distance. As such, the study finds that CAST supported the supermarket shopping activity.

Pervasive Computing in the Supermarket

2012 ◽  
pp. 172-185 ◽  
Author(s):  
Darren Black ◽  
Nils Jakob Clemmensen ◽  
Mikael B. Skov
Keyword(s):  
Empirical Study ◽  
Real World ◽  
Context Awareness ◽  
Empirical Evaluation ◽  
Context Aware ◽  
Uniform Pattern ◽  
User Attention ◽  
Context Aware System ◽  
Mobile Context ◽  
Interactive Experience

Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. Based on an empirical study of supermarket shoppers, the authors designed a mobile context-aware system called the Context-Aware Shopping Trolley (CAST). The purpose of CAST is to support shopping in supermarkets through context-awareness and acquiring user attention, thus, the authors’ interactive trolley guides and directs shoppers in the handling and finding of groceries. An empirical evaluation showed that shoppers using CAST behaved differently than shoppers using a traditional trolley. Specifically, shoppers using CAST exhibited a more uniform pattern of product collection and found products more easily while travelling a shorter distance. As such, the study finds that CAST supported the supermarket shopping activity.

scholarly journals Analyzing Drivers’ Distractions due to Smartphone Usage: Evidence from AutoLog Dataset

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Inayat Khan ◽  
Sanam Shahla Rizvi ◽  
Shah Khusro ◽  
Shaukat Ali ◽  
Tae-Sun Chung
Keyword(s):  
Logistic Regression ◽  
Empirical Study ◽  
User Interfaces ◽  
Empirical Evaluation ◽  
Comprehensive Analysis ◽  
Steering Wheel ◽  
Context Aware ◽  
The Road ◽  
Adaptive User Interfaces ◽  
Driver Distractions

The usage of a smartphone while driving has been declared a global portent and has been admitted as a leading cause of crashes and accidents. Numerous solutions, such as Android Auto and CarPlay, are used to facilitate for the drivers by minimizing driver distractions. However, these solutions restrict smartphone usage, which is impractical in real driving scenarios. This research paper presents a comprehensive analysis of the available solutions to identify issues in smartphone activities. We have used empirical evaluation and dataset-based evaluation to investigate the issues in the existing smartphone user interfaces. The results show that using smartphones while driving can disrupt normal driving and may lead to change the steering wheel abruptly, focus off the road, and increases cognitive load, which could collectively result in a devastating situation. To justify the arguments, we have conducted an empirical study by collecting data using maxed mode survey, i.e., questionnaires and interviews from 98 drivers. The results show that existing smartphone-based solutions are least suitable due to numerous issues (e.g., complex and rich interfaces, redundant and time-consuming activities, requiring much visual and mental attention, and contextual constraints), making their effectiveness less viable for the drivers. Based on findings obtained from Ordinal Logistic Regression (OLR) models, it is recommended that the interactions between the drivers and smartphone could be minimized by developing context-aware adaptive user interfaces to overcome the chances of accidents.

Context-Awareness and Mobile Devices

2008 ◽  
pp. 205-217 ◽  
Author(s):  
Anind K. Dey ◽  
Jonna Häkkilä
Keyword(s):  
Human Computer Interaction ◽  
Mobile Computing ◽  
Ubiquitous Computing ◽  
Mobile Devices ◽  
Context Awareness ◽  
Design Guidelines ◽  
Context Aware ◽  
Definition Of ◽  
Mobile Context ◽  
Computer Interaction

Context-awareness is a maturing area within the field of ubiquitous computing. It is particularly relevant to the growing sub-field of mobile computing as a user’s context changes more rapidly when a user is mobile, and interacts with more devices and people in a greater number of locations. In this chapter, we present a definition of context and context-awareness and describe its importance to human-computer interaction and mobile computing. We describe some of the difficulties in building context-aware applications and the solutions that have arisen to address these. Despite these solutions, users have difficulties in using and adopting mobile context-aware applications. We discuss these difficulties and present a set of eight design guidelines that can aid application designers in producing more usable and useful mobile context-aware applications.

Micro Context-Awareness for Autonomic Pervasive Computing

2011 ◽  
Vol 7 (2) ◽  
pp. 48-68 ◽  
Author(s):  
Bessam Abdulrazak ◽  
Patrice Roy ◽  
Charles Gouin-Vallerand ◽  
Yacine Belala ◽  
Sylvain Giroux
Keyword(s):  
Pervasive Computing ◽  
Context Awareness ◽  
Programming Model ◽  
Software Components ◽  
Context Aware ◽  
Smart Space ◽  
Global Knowledge ◽  
System Utilization ◽  
Pervasive System ◽  
Micro Level

Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.

Context-Awareness and Mobile Devices

2009 ◽  
pp. 3222-3235 ◽  
Author(s):  
Anind K. Dey ◽  
Jonna Häkkilä
Keyword(s):  
Human Computer Interaction ◽  
Mobile Computing ◽  
Ubiquitous Computing ◽  
Mobile Devices ◽  
Context Awareness ◽  
Design Guidelines ◽  
Context Aware ◽  
Definition Of ◽  
Mobile Context ◽  
Computer Interaction

Context-awareness is a maturing area within the field of ubiquitous computing. It is particularly relevant to the growing sub-field of mobile computing as a user’s context changes more rapidly when a user is mobile, and interacts with more devices and people in a greater number of locations. In this chapter, we present a definition of context and context-awareness and describe its importance to human-computer interaction and mobile computing. We describe some of the dif- ficulties in building context-aware applications and the solutions that have arisen to address these. Despite these solutions, users have difficulties in using and adopting mobile context-aware applications. We discuss these difficulties and present a set of eight design guidelines that can aid application designers in producing more usable and useful mobile context-aware applications.

A survey on pervasive computing over context-aware system

2020 ◽  
Vol 2 (2) ◽  
pp. 79-85 ◽  
Author(s):  
S. G. Gollagi ◽  
M. M. Math ◽  
A. A. Daptardar
Keyword(s):  
Pervasive Computing ◽  
Context Aware ◽  
Context Aware System

Is Group-Awareness Context-Awareness?

2019 ◽  
Vol 15 (3) ◽  
pp. 1-19
Author(s):  
Manuele Kirsch Pinheiro ◽  
Carine Souveyet
Keyword(s):  
Context Awareness ◽  
Relevant Information ◽  
Context Information ◽  
Context Aware ◽  
System Behavior ◽  
Group Awareness ◽  
Awareness Information ◽  
Unified View ◽  
Context Aware System ◽  
Awareness Context

This article discusses the interest of emerging a unified view for group awareness and context information on groupware and context-aware systems. Group awareness corresponds to an important concept on Groupware applications, allowing individual users to be kept aware of group's activities and status. Context is defined by ubiquitous computing as any relevant information that can be used to characterize the situation of an entity. We assume that group awareness information should be considered as context information and handled as such. Group awareness information is often employed for decision making, contributing to users' activities and decisions, but it gives also an important clue about user's context, characterizing individual's actions regarding the group. As such, group awareness may be used for adaptation purposes, adapting the system behavior, the supplied content or its services. Besides, architectural concerns adopted on context-aware system should also be considered when developing new groupware applications that are more and more designed as context-aware systems.

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