An approach to providing a seamless end-user experience for location-aware applications

Duri, Sastry S.; Cole, Alan; Munson, Jonathan; Christensen, Jim

doi:10.1145/381461.381465

Cited by 29 publications

(17 citation statements)

References 7 publications

(6 reference statements)

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“…An example of this is the mobile phone which is now a commonly owned device. Location based services (LBS) are services in which the location of a person or an object is used to shape or focus the application or service (Duri 2001). According to a new report from ARC Group 1 , LBS will account for over 40% of operators' mobile data services revenues in 2007, It is apparent that people in modern day society are living longer compared to their predecessors.…”

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confidence: 99%

Older Users’ Requirements for Location Based Services and Mobile Phones

Osman

Maguire

Tarkiainen

2003

Lecture Notes in Computer Science

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Abstract.It is important that studies are carried out to enable developers of new products and services to take into consideration the requirements of the older population and work towards an inclusive design. This paper presents two studies carried out to determine the attitudes and requirements of older users towards location based services and their needs for mobile phone functions and features. The resulting implications and benefits for the developers of future products and services are briefly discussed.Technological advances are occurring at a more rapid pace than ever before and have allowed the development of evermore sophisticated and ubiquitous products and services. In order for technology and services to be successful, they need to be embraced by the population. An example of this is the mobile phone which is now a commonly owned device. Location based services (LBS) are services in which the location of a person or an object is used to shape or focus the application or service (Duri 2001). According to a new report from ARC Group 1 , LBS will account for over 40% of operators' mobile data services revenues in 2007, It is apparent that people in modern day society are living longer compared to their predecessors. This is leading to an increased number of "Third Agers" (people 55 years and over). Coleman (2001) estimated that by the year 2020 almost half the adult population in the UK would be over 50 years of age. If products and services do not include this age group in their development processes then market exploitation will be adversely affected. Meeting the requirements of the older and younger age groups can be achieved by taking an inclusive design approach. Hardie and Plaice (1991) defined inclusive design as "an approach to creating environments and products that are usable by all people to the greatest extent possible". A question that needs answering is whether the developers of products and services are taking the 1

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confidence: 99%

Older Users’ Requirements for Location Based Services and Mobile Phones

Osman

Maguire

Tarkiainen

2003

Lecture Notes in Computer Science

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“…Location-based services have been defined by Duri et al [20] as "services in which the location of a person or an object is used to shape or focus the application or service". Pura [21] identifies location as one of the most promising applications of mobile commerce, due to the ability to allow service providers to offer customized services based on context and resulting in increased perceived value and loyalty of customers.…”

Section: Related Workmentioning

confidence: 99%

Towards a Privacy Rule Conceptual Model for Smart Toys

Rafferty¹,

Hung²,

Fantinato³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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A smart toy is defined as a device consisting of a physical toy component that connects to one or more toy computing services to facilitate gameplay in the cloud through networking and sensory technologies to enhance the functionality of a traditional toy. A smart toy in this context can be effectively considered an Internet of Things (IoT) with Artificial Intelligence (AI) which can provide Augmented Reality (AR) experiences to users. In this paper, the first assumption is that children do not understand the concept of privacy and the children do not know how to protect themselves online, especially in a social media and cloud environment. The second assumption is that children may disclose private information to smart toys and not be aware of the possible consequences and liabilities. This paper presents a privacy rule conceptual model with the concepts of smart toy, mobile service, device, location, and guidance with related privacy entities: purpose, recipient, obligation, and retention for smart toys. Further the paper also discusses an implementation of the prototype interface with sample scenarios for future research works.

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“…Location-based services can be best defined as, "any service that takes into account the geographic location of an entity" [5].The location of a person or an object is used to shape or as a focus on LBS application [6]. LBS rely on either mobile networks, satellite navigation system or local positioning system [7].…”

Section: A Location-based Servicesmentioning

confidence: 99%

Consumer Personality, Privacy Concerns and Usage of Location-Based Services (LBS)

Hin¹

2015

JOEBM

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Abstract-This paper examines the effects of the Big Five personality traits on concern for information privacy (CFIP) and the effects of the formulated concern for information privacy towards perceived risk, which in turn determine location-based services (LBS) usage intention. Data for this research was collected from 291 users and non-users of LBS. Result from Pearson correlation analysis indicated significant relationships exist between: (1) extraversion, and openness with collection; (2) extraversion, conscientiousness, and openness with improper access; (3) extraversion, conscientiousness, and openness with errors; (4) agreeableness, neuroticism, and openness with secondary use. All four dimensions of CFIP are found to have a significant direct relationship with perceived risk of using LBS. Implications for research and practice for location-based service providers are discussed.

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An approach to providing a seamless end-user experience for location-aware applications

Cited by 29 publications

References 7 publications

Older Users’ Requirements for Location Based Services and Mobile Phones

Older Users’ Requirements for Location Based Services and Mobile Phones

Towards a Privacy Rule Conceptual Model for Smart Toys

Consumer Personality, Privacy Concerns and Usage of Location-Based Services (LBS)

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