Living Inside a Smart Home: A Case Study

DOI: 10.1007/1-85233-854-7_12
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Available from: Dave Randall,
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    • "All of these CDIs are put forward in Smart Home literature to increase technology flexibility. The system operation cluster, in turn, contains the following CDIs: privacy and security (Busnel et al., 2008; Friedewald et al., 2007; Leppänen and Jokinen, 2003), reliability and manageability (Edwards and Grinter, 2001; Jiang et al., 2004), safety (Coradeschi and Saffiotti, 2006; Koskela et al., 2004), extensibility, maintainability (Barlow and Venables, 2003; Bodhuin et al., 2005), and obtrusiveness or integration (i.e., to what extent is artefact embedded in everyday objects and therefore remains in the background), (Aarts, 2004; Arcelus et al., 2007; Chan et al., 2008; Mäyrä et al., 2006; Remagnino and Foresti, 2005; Shadbolt, 2003), robustness (Jaygarl et al., 2008; Randall, 2003), and information processing, i.e., how is information generated, stored, transmitted, displayed, etc. (Gann et al., 1999). "
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    ABSTRACT: Critical design issues (CDIs) are a prominent topic in the literature on Smart Home service design and engineering. Smart Home technologies (i.e., products and services) have to meet one or more of these CDIs in order to become or be perceived as being valuable for customers and providers. However, the CDIs mentioned in Smart Home literature are extremely heterogeneous in nature. Moreover, it is not evident why some CDIs are included and others are not. Based on multiple theoretical concepts from various disciplines including system engineering, human–computer interaction, strategic management, and innovation management, three perspectives are proposed, focusing on the customer, provider, and interface of a system or artefact. By using these perspectives, a large number of CDIs are identified and clustered. The CDIs in question help Smart Home designers, engineers and providers: 1) consider a vast range of CDIs that may be critical to the intended technology; and 2) encourage them to apply a multi–perspective approach to meet the needs of customers and providers as well as the technological requirements.
    J of Design Research 05/2013; 11(1):72-90. DOI:10.1504/JDR.2013.054067
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    • "OLLOWING Ambient Intelligence (AmI) vision [1], a Smart Environment (SE) has the main aim of facilitating users in interacting with its services by making their fruition easy, natural and suitable to their needs. However, most of the times, user interfaces for handling functions and services of SE require navigation through menu options just to switch off the lights [2] or a complex setting procedure in order to change the behaviour of the environment in typical scenarios. Smart Environments should assist their users in a proactive and responsive way, trying to recognise user's behaviours and needs so to respond as it is expected from them. "
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    ABSTRACT: In this paper we will propose the use of social robots as interface between users and services in a Smart Environment. We will focus on the need for robots to recognize the user’s feedback, in order to respond and revise its behaviour according to user’s needs. As we believe speech is a natural and immediate input channel in human-robot interaction, we will discuss the importance of recognising, besides the linguistic content of the spoken sentence, the attitude of the user towards the robot and the environment. In this way, the meaning of the user dialog will be made clear when hardly recognisable by the analysis of the utterance structure. Then, we will present the results of the application of a potential approach used for integrating the linguistic analysis with the recognition of the valence and arousal of the user’s utterance. In order to achieve this goal, we collected and analysed a corpus of data to build an interpretation model based on a Bayesian network. Then we tested the accuracy of the model using a test dataset. Results will show that the integration of the linguistic content with the recognition of some acoustic features of spoken sentences perform better in recognising the key aspects of user’s feedback.
    Journal of Physical Agents 01/2009;
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    • "Focusing on users and usability raises the question of how people can interact with technology in the home in a manner that suits the physical and social conditions of domestic use situations. Randall [19] describes several incidents from a smart home case study, which exemplify how digital augmentation of domestic objects and activities often required participants to adapt to the technology, rather than the other way around. For example, removal of manual light switches reportedly required participants to navigate through menus to turn lighting on and off. "
    Y. Dahl ·
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    ABSTRACT: This paper explores the distinctive features of designing smart technology for domestic environments. Because human-computer interaction in digitally augmented home environments is likely to be highly situated, we argue that providing flexibility with regard to method of interaction is a central issue for realization the smart home concept. Framing smart homes as a problem of interaction, we use physical interaction models to explore how two domestic case scenarios can be implemented by combining different sensing techniques (location-awareness and token reading) with mobile and fixed interfaces. Each combination can promote or impede different usability criteria. Drawing on our conceptual scenario analysis we suggest that the "smartness" of smart homes is not so much a result of interconnected objects capable of running logic and taking action on behalf of people. Instead, we consider smartness to be intimately related to the interactive possibilities that are offered. In particular, domestic users could benefit from having multiple methods of interaction to choose from according to what they see fit the immediate use situation.
    Intelligent Environments, 2008 IET 4th International Conference on; 08/2008
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