Evaluation of a Context-Aware Voice Interface for Ambient Assisted Living

Vacher, Michel; Caffiau, Sybille; Portet, François; Meillon, Brigitte; Roux, Camille; Elias, Elena; Lecouteux, Benjamin; Chahuara, Pedro

doi:10.1145/2738047

Cited by 60 publications

(66 citation statements)

References 54 publications

(48 reference statements)

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“…Adapted to homes containing multiple rooms which are fitted with sensors and actuators -such as infra-red presence detectors, consumption meters, multimedia servers, etc. -this kind of interface is particularly suitable to people in loss of autonomy [43,52]. Smart-homes aim at providing daily living context-aware decision using the perception of the situation of the user, as previously illustrated in Scenario 1.…”

Section: Methodsmentioning

confidence: 99%

Arcades: A deep model for adaptive decision making in voice controlled smart-home

Brenon

Portet

Vacher

2018

Pervasive and Mobile Computing

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In a voice controlled smart-home, a controller must respond not only to user's requests but also according to the interaction context. This paper describes Arcades, a system which uses deep reinforcement learning to extract context from a graphical representation of home automation system and to update continuously its behavior to the user's one. This system is robust to changes in the environment (sensor breakdown or addition) through its graphical representation (scale well) and the reinforcement mechanism (adapt well).The experiments on realistic data demonstrate that this method promises to reach long life context-aware control of smart-home.

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Section: Methodsmentioning

confidence: 99%

Arcades: A deep model for adaptive decision making in voice controlled smart-home

Brenon

Portet

Vacher

2018

Pervasive and Mobile Computing

Self Cite

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“…For this reason, some older adults are enthusiastic about joining LivingLab ICT initiatives [7] despite some barriers to their involvement in ICT [6,10]. Although there are previous studies on VA usability [9], also with older adults in the context of SH [12] it is worth to further investigate this problem in multiple cultural contexts in order to suggest how to make Voice Interfaces more accessible [3] in general to facilitate different groups of older adults' interaction with ICT-enhanced solutions.…”

Section: Related Workmentioning

confidence: 99%

Older Adults and Voice Interaction

Kowalski

Jaskulska²,

Skorupska

et al. 2019

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

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In this paper we present the results of an exploratory study examining the potential of voice assistants (VA) for some groups of older adults in the context of Smart Home Technology (SHT). To research the aspect of older adults' interaction with voice user interfaces (VUI) we organized two workshops and gathered insights concerning possible benefits and barriers to the use of VA combined with SHT by older adults. Apart from evaluating the participants' interaction with the devices during the two workshops we also discuss some improvements to the VA interaction paradigm.

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“…In such scenarios, voice interfaces may also be included, where several aspects (e.g., type of language, on/offline system, context-aware, etc.) must be observed in order for them to become useful (in [59] several of these aspects are discussed).…”

Section: Actionsmentioning

confidence: 99%

A User-Centred Well-Being Home for the Elderly

Rodrigues

Pereira

2018

Applied Sciences

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Every single instant a person generates a large amount of information that somehow is lost. This information can assume a large diversity of means, such as an oral word, a sneeze, an increase in heartbeat or even facial expressions. We present a model which promotes the well-being of the elderly in their homes. The general idea behind the model is that every single experience may mean something, and therefore may be recorded, measured and even have adequate responses. There is no device that provides a more natural interaction than a human body and every one of us, sends and receives useful information, which sometimes gets lost. Trends show that the future will be filled with pervasive IoT devices, present in most aspects of human life's. In this we focus on which aspects are more important for the well-being of a person and which devices, technologies and interactions may be used to collect data directly from users and measure their physiological and emotional responses. Even though not all the technologies presented in this article are yet mainstream, they have been evolving very rapidly and evidence makes us believe that the efficiency of this approach will be closely related to their advances.

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Evaluation of a Context-Aware Voice Interface for Ambient Assisted Living

Cited by 60 publications

References 54 publications

Arcades: A deep model for adaptive decision making in voice controlled smart-home

Arcades: A deep model for adaptive decision making in voice controlled smart-home

Older Adults and Voice Interaction

A User-Centred Well-Being Home for the Elderly

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