Easishop: Ambient intelligence assists everyday shopping

Keegan, S.; O’Hare, Gregory M. P.; O’Grady, Michael J.

doi:10.1016/j.ins.2007.08.027

Cited by 63 publications

(44 citation statements)

References 12 publications

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“…iGrocer [22] is a mobile shopping assistant aimed to help individuals build nutrition profiles and support them with personalized recommendations of products. Other mobile recommenders include EasiShop, [12] a contextsensitive uCommerce system, and APriori, [17] a product recommendation and rating system that interacts with tagged products through Near Field Communications (NFC).…”

Section: Augmenting the Shopping Experiencementioning

confidence: 99%

Ambient recommendations in the pop-up shop

Garcia-Perate

Dalton

Conroy-Dalton

et al. 2013

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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In this paper we present the design and first-stage analysis of a purposely built, smart, pop-up wine shop. Our shop learns from visitors' choices and recommends wine using collaborative filtering and ambient feedback displays integrated into its furniture. Our ambient recommender system was tested in a controlled laboratory environment. We report on the qualitative feedback and between subjects study, testing the influence the system had in wine choice behavior. Participants reported the system helpful, and results from our empirical analysis suggest it influenced buying behavior.

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Section: Augmenting the Shopping Experiencementioning

confidence: 99%

Ambient recommendations in the pop-up shop

Garcia-Perate

Dalton

Conroy-Dalton

et al. 2013

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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“…In the mobile tourism domain, information has been adapted to tourists' contexts [12] while in the e-commerce domain, agents have negotiated deals for items on users' shopping lists [9].…”

Section: Software Architecturementioning

confidence: 99%

Implicitly and Intelligently Influencing the Interactive Experience

O’Grady

Dragone

Tynan

et al. 2011

Lecture Notes in Computer Science

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“…Intelligent agents can be used easily to integrate multiple sensors for this aim as they can form context model, and reason about them to take decisions that will affect the game. They have been successfully deployed in many mobile computing domains including tourism [21], mobile commerce [16] and in outdoor exergaming environments [14].…”

Section: Agent-based Adaptivitymentioning

confidence: 99%

FreeGaming

Görgü

Campbell

McCusker

et al. 2010

Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia

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Addressing the obesity epidemic that plagues many societies remains an outstanding public health issue. One innovative approach to addressing this problem is Exergaming. A combination of "Exercise" and "Gaming", the objective is to motivate people participate in exercise regimes, usually in their home environment. In this paper a more holistic interpretation of this exercise paradigm is proposed. Freegaming augments Exergaming in a number of key dimensions but especially through the promotion of games in outdoor mobile contexts and within a social environment. The design and implementation of a platform for Freegaming is described and illustrated through the description of a sample game.

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Easishop: Ambient intelligence assists everyday shopping

Cited by 63 publications

References 12 publications

Ambient recommendations in the pop-up shop

Ambient recommendations in the pop-up shop

Implicitly and Intelligently Influencing the Interactive Experience

FreeGaming

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