An activity-based perspective of interacting with ambient intelligence systems

Rizopoulos, Charalampos

doi:10.1049/cp:20070351

Cited by 6 publications

(6 citation statements)

References 0 publications

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“…microscope, telescope), access superordinate or subordinate units of environment. This reveals a similarity with Activity Theory in the treatment of tools [13]. Gibson views tools as extensions of the human body, a view that may be considered consistent with that of functional organs in Activity Theory.…”

Section: Ecological Approach To Visual Perceptionmentioning

confidence: 57%

“…According to McQuail [11] (pp. [12][13][14], two types of variation are most commonly encountered. The first is the separation between media-centric and societycentric (or socio-centric) approaches.…”

Section: Types Of Media Theorymentioning

confidence: 99%

“…It has been previously used as a descriptive and analytical tool in HeI in general (e.g. [9]) and applied to intelligent environments [13], and there are certain aspects of Activity Theory that are particularly relevant to locative media use as well. According to Activity Theory, human activity emerges when the subject identifies an object as a means of fulfilling a need (thus "objectifying" that need), and this becomes the objective of the activity.…”

Section: Activity Theorymentioning

confidence: 99%

See 2 more Smart Citations

Towards a theoretical model of communication via locative media use

Rizopoulos¹,

Charitos²,

Koutsompolis³

et al. 2008

4th International Conference on Intelligent Environments (IE 08)

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Section: Ecological Approach To Visual Perceptionmentioning

confidence: 57%

Section: Types Of Media Theorymentioning

confidence: 99%

Section: Activity Theorymentioning

confidence: 99%

See 1 more Smart Citation

Towards a theoretical model of communication via locative media use

Rizopoulos¹,

Charitos²,

Koutsompolis³

et al. 2008

4th International Conference on Intelligent Environments (IE 08)

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“…The user is the main actor also in the studies by Rizopoulos [43] and Nijholt [38], and he may also play the role of a designer: as an actor of the system, the user assigns human characteristics to all elements of the surrounding environment, including computers and new technologies. The environment is a medium, a social actor that must be characterized by embodied agents that gain behaviors and communication styles similar to the human ones.…”

Section: Users Are Part Of the Design Processmentioning

confidence: 99%

Designing for user confidence in intelligent environments

Corno

Guercio

Russis

et al. 2015

J Reliable Intell Environ

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Intelligent environments aim at supporting and assisting users in their daily activities. Their reliability, i.e., the capability of correctly accomplishing the intended tasks and of limiting or avoiding damage in case of malfunctions, is essential as for any user-facing technology. One aspect of reliability, often neglected, is guaranteeing the consistency between system operation and user expectations, so that users may build confidence over the correct behavior of the system and its reaction to their actions. The paper will review the literature concerning methodologies and tools that directly involve users and have been specifically applied or adopted for intelligent environments, throughout the entire design flow-from requirements gathering to interface design. The paper will then propose, building on top of the previous analysis, a set of guidelines that system designers should follow to ensure user confidence in their intelligent environments.

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“…Instead of enhancing interactions with technological objects, there is a need for possible AmI applications that can enhance interactions with other people [5]. Enhancing the interactions among people contributes to what is currently termed as the Social Ambient Intelligence [6]. Central to the social ambient intelligence research is the use of Web 2.0 techniques within AmI applications.…”

Section: Introductionmentioning

confidence: 99%

Sharing Biomedical Learning Knowledge for Social Ambient Intelligence

Mohammed¹,

Fiaidhi²,

Mohammed³

2009

JCP

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In this paper, we describe a Bio-SAmI system, which is a Biomedical learning system that is context- aware and responsive to mobile learners sharing information on a social network. Bio-SAmI is a Web 2.0 enabled system which employees Social Ambient Intelligence techniques. The Bio-SAmI infrastructure is based on the Actor model that treats mobile users or “actors" as the universal primitives of computation. The actor model is implemented using a combination of Java enabled APIs including SALSA, JADE, LEAP and tuPrologME. The implemented prototype enable learners to share biomedical information represented by the DICOM SR standard in relation to the notion of inflammation as well as to respond to variety of learning queries including classifying learning case studies, finding learning case studies, locating a FOAF learner and syndication and aggregation of learning case studies .

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An activity-based perspective of interacting with ambient intelligence systems

Cited by 6 publications

References 0 publications

Towards a theoretical model of communication via locative media use

Towards a theoretical model of communication via locative media use

Designing for user confidence in intelligent environments

Sharing Biomedical Learning Knowledge for Social Ambient Intelligence

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