Exploring and enhancing the home experience

Eggen, Berry; Hollemans, Gerard; Sluis, Richard van de

doi:10.1007/s10111-002-0114-7

Cited by 44 publications

(19 citation statements)

References 14 publications

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“…In order to embed notifications into everyday life, an understanding is needed on how people experience notifications during everyday activities. Whereas professional activities tend to be well-structured and goal oriented, user activities in domestic environments are typically informal and unstructured (Abowd and Mynatt, 2000;Hughes et al, 2000;Eggen et al, 2003). It therefore may be more appropriate for a notification system in the home to use subjective, non performance-based rather than objective, performance-based measures of message value and cost of interruption.…”

Section: Everyday Activitiesmentioning

confidence: 99%

Considerate home notification systems: A user study of acceptability of notifications in a living-room laboratory

Vastenburg

Keyson

Ridder

2009

International Journal of Human-Computer Studies

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Recent field experiments on acceptability of notifications in the home showed that people generally want to be informed of urgent messages as soon as possible, whereas non-urgent messages should not be presented at all. A possible way to improve the acceptability of a notification might be to adjust the presentation mode and the timing of notifications to the message content and to the state of the user. For example, acceptability might be improved by considering user activities when selecting the best time to present the message. The relation between acceptability, presentation mode and timing has not been formally studied in a controlled home setting before. This paper presents the results of a user study, in which ten participant couples were asked to engage in everyday home activities, and to subjectively rate factors that were expected to influence acceptability. The study was situated in a living room laboratory in which the user activities and the timing of notifications were controlled. Questionnaire data was evaluated using cluster analysis in order to construct a semantic model that describes the relationship between user, system and environment. The key findings in the present study are: (1) acceptability could be improved by adjusting the level of intrusiveness of the presentation to message urgency: urgent messages should be presented intrusively, medium-urgent messages unobtrusively, and (2) non-urgent messages should be postponed until the message urgency has increased, or skipped if the message urgency never exceeds the predefined presentation threshold.. Surprisingly, the user activities at the time of notification were not found to influence acceptability. These findings have resulted in a model of acceptability of notifications for the design of future home notification systems.

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Section: Everyday Activitiesmentioning

confidence: 99%

Considerate home notification systems: A user study of acceptability of notifications in a living-room laboratory

Vastenburg

Keyson

Ridder

2009

International Journal of Human-Computer Studies

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“…Smart homes, however, usually have the capability to gather such information through motion detectors and door/window contact sensors and inform their inhabitants before they leave the home or go to bed, thus help avoid windows and doors that were inadvertently left open. Such a functionality exactly fulfills some of the expectations that people have on smart homes, that is, "make life easy" and "taking over the unwanted tasks" [1].…”

Section: Introductionmentioning

confidence: 76%

Exploring Opportunistic Ambient Notifications in the Smart Home to Enhance Quality of Live

Seiderer

Dang

André

2017

Enhanced Quality of Life and Smart Living

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Smart home technology became more and more widespread within recent years. They aim to make life easier and taking over unwanted tasks. In traditional homes, it is often not clear whether all windows and doors of a house are closed before inhabitants leave the home or go to sleep. However, this can be easily addressed by smart homes. We present a system based on opportunistically located ambient lights that assist inhabitants of a smart home in answering this question. In this paper, we show the concept of our system and the inhabitant-centered design process behind the development. The system was installed in a one-family smart home. We report on insights gained through data collected from this deployment over a period of six months. Within interviews, we found that the ambient light system gave inhabitants a more confident feeling about open doors/windows.

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“…A number of qualitative and quantitative studies have been performed to find out how people view the home of the future and what expectations they have of living in such a home. It turns out that comfort tasks and home control are the two most interesting applications for many potential users [4,11,27]; e.g. remote control of heating, lights and windows, and help with cleaning tasks are commonly mentioned applications.…”

Section: User Expectations and Experiencesmentioning

confidence: 99%

An unsupervised recommender system for smart homes

Rasch

2014

Journal of Ambient Intelligence and Smart Environments

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Inhabitants of today's smarter homes struggle with complicated user interfaces and inflexible home configurations. The proposed smart home recommender system addresses these issues by continuously interpreting the user's current situation and recommending services that fit the user's habits, i.e. automate some action that the user would want to perform anyway. With these recommendations it is possible to build much simpler user interfaces that highlight the most interesting choices currently available. Configuration becomes much more flexible, since the recommender system automatically learns user habits. Evaluations on two smart home datasets show that the algorithm produces correct recommendations with 61% and 73% accuracy, respectively.

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Exploring and enhancing the home experience

Cited by 44 publications

References 14 publications

Considerate home notification systems: A user study of acceptability of notifications in a living-room laboratory

Considerate home notification systems: A user study of acceptability of notifications in a living-room laboratory

Exploring Opportunistic Ambient Notifications in the Smart Home to Enhance Quality of Live

An unsupervised recommender system for smart homes

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