Corchado Rodríguez / Augusto / Novais Ambient Intelligence and Future Trends -

International Symposium on Ambient Intelligence (ISAmI 2010)
1. Auflage 2010
ISBN: 978-3-642-13268-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 72, 260 Seiten, eBook

Reihe: Advances in Intelligent and Soft Computing

ISAmI is the International Symposium on Ambient Intelligence, aiming to bring together researchers from various disciplines that constitute the scientific field of Ambient Intelligence to present and discuss the latest results, new ideas, projects and lessons obtained from recent experiences in building AmI systems. This volume presents the papers that have been accepted in this first edition. These papers reports on innovative results and advances achieved recently in this area.

Zielgruppe

Research

Autoren/Hrsg.

Corchado Rodríguez, Juan Manuel

Augusto, Juan Carlos

Novais, Paulo

Analide, Cesar

Calejo, Miguel

Inhaltsverzeichnis

Long Papers.- A Study on Autonomic Decision Method for Smart Gas Environments in Korea.- Multiagent Systems and Wearable Devices: Helping People Live Healthier.- Accurate Temporal Relationships in Sequences of User Behaviours in Intelligent Environments.- A Framework to Enable Two-Layer Inference for Ambient Intelligence.- GLSS – Group Learning in Shared Spaces Considering Aspects Like Emotion and Personality.- Rewiring Strategies for Changing Environments.- Toward a Behavioral Decomposition for Context-Awareness and Continuity of Services.- A User-Oriented and Context-Aware Service Orchestration Framework for Dynamic Home Automation Systems.- A Multi-user Smart System for Reminding Medication.- Ontology and SWRL-Based Learning Model for Home Automation Controlling.- Model-Driven Development for Ubiquitous MAS.- Accurate Human Limb Angle Measurement in Telerehabilitation: Sensor Fusion through Kalman, LMS and RLS Adaptive Filtering.- An Agent-Based Framework for Context-Aware Digital Signage.- What Context Matters? Towards Multidimensional Context Awareness.- A Framework for Modeling and Analysis of Ambient Agent Systems: Application to an Emergency Case.- Autonomous and Context-Aware Scheduling for Public Displays Using Place-Based Tag Clouds.- Semantic and Implicit HCI: A Step Forward AmI Delivery at Home for Patient Experience.- Domotic Hardware Infrastructure in PERSONA Project.- Context Aware Management Plateform to Invoke Remote or Local e Learning Services: Application to Navigation and Fishing Simulator.- EVATAR – A Prototyping Middleware Embodying Virtual Agents to Autonomous Robots.- User Recognition in AAL Environments.- Short Papers.- Patient Monitoring under an Ambient Intelligence Setting.- Helping Elderly People and Persons with Disability to Accessthe Information Society.- Context Triggered Experience Sampling.- Adaptive Experience Sampling: Addressing the Dynamic Nature of In-Situ User Studies.- An Intelligent Domotics System to Automate User Actions.- Assessing the Usefulness and Acceptance of HERMES MyFuture System in Two European Countries.- Agency, Ambience, Assistance: A Framework for Practical AAL.- Automatic Generation of Personal Maps.- Modeling and Simulating Ambient Assisted Living Environments – A Case Study.- Doctoral Consortium.- Methodology for the Integration of Information, Communication and Automation Technologies in Housing Rehabilitation.- Why Traders Need Ambient Intelligence.- Awareness Models for the Development of Ubiquitous Systems.- A Statistical-Relational Activity Recognition Framework for Ambient Assisted Living Systems.

Leseproben

"Context Triggered Experience Sampling (p. 193-194)

David V. Keyson

Abstract. As products and services have become more embedded in the everyday life and routines of users, the need to understand how the context of use influences product usage over time has increased. The Experience Sampling Method (ESM) aims to capture both the context and content of the daily life of individuals. Critical to the ESM methods is the notion of asking the appropriate set of experience related questions at the right moment. The current approach to ESM is based on provided the user with a set of qualitative questions, typically using scaled measures, at pre-defined intervals during the course of the day over a period of several days or longer. In the current paper the Context Aware Toolbox (CAT) is described as a means to rapidly equip an environment with sensors and actuators which in turn can trigger user input via formal questionnaires and indirect input based on the task at hand.

The main elements of the CAT is a database of algorithms, written in MAX MSP which can be rapidly adapted to particular needs, Phidget sensors and actuators, a MAX Mini containing instructions and the database, touch screens for displaying the qualitative measures on site, and installation tools, as well as a web based infrastructure for adding new content to the database. The CAT setup is currently being applied to design research cases in the area of social and environmental sustainability; an application design case focused on sustainable living is described.

Keywords: Experience Sampling, Context Awareness, Prototyping.

1 Introduction

The emergence of products and services embedded in the everyday routine of people reflect the degree to which technology has become a part of lives. Increasingly, the only way to evaluate the usability of products and services, behind the immediate ease of use of the interface, is to study user interaction in context. For pure Internet based applications, this might mean launching a “beta” version of the software and observing what happens with large number of users and then fixing the problems over successive beta releases.

In the case of evaluating physical products in context, focus group sessions, or phone or mail based questionnaires may only provide brief glimpses into product adoption and usability issues. The two predominant methods to gather ongoing usage data are the Diary Recollection Method [1] and the Experience Sampling Method [2].

Both methods can also be combined [3]. In the case of DRMS the user may be given a diary to fill-in over a fixed time interval across several days or more, or maybe given a camera to take pictures of the context of use on a regular basis. Experience sampling may be conducted via asking the user to fill in a paper form of electronic form on the basis of timed requests which may generated via a watch, beeper, Website, or PDA, to name a few possible platforms.

It is generally argued that ESM combines the ecological validity of naturalistic behavioral observations with the nonintrusive nature of diaries and the precision of scaled questionnaire measures. While the limitations of ESM are acknowledged, in particular the demands it imposes on respondents, which may contribute to a self-selection bias and selective non-response, the method is regarded as some as the best alternative to capturing the context of use.

Central to the ESM is the notion that “by sampling experience the moment it occurs, it avoids the potential distortions associated with the use of daily or weekly retrospective diaries” [2]. While this seems at first glance a logical statement, taking a deeper look at ESM studies reveals that often ESM based questionnaires appear at pre-set time intervals, but are not necessarily triggered when the behavior under study occurs in a given context.

Furthermore the ESM assumes that experiences can only be recorded via qualitative scales, in some cases the way in which a product or service is engaged may in itself reveal experiential data. For example the degree to which a user applies force to while setting a physical control may be an indication of stress or the number of repeated efforts to make a “soft” selection on a screen could reflect a degree of confusion. Such data could be monitored in real-time and collected over an extended period. Taking things a step further the product or service itself could be remotely updated given the availability of online usability data. In some cases it may make sense deploy sensors and actuators close to the product or additionally in the vicinity of the product to capture experience data. To this extent the Context Aware Toolkit was developed."