Voice Assistant Strategies and Opportunities for People with Tetraplegia

Friedman, Natalie; Cuadra, Andrea; Patel, Ripal; Azenkot, Shiri; Stein, J.I.; Ju, Wendy

doi:10.1145/3308561.3354605

Cited by 11 publications

(13 citation statements)

References 4 publications

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“…[ [54][55][56][57] but also because they have been shown to bring benefits such as social cohesion [58] or improve comfort and allow the user to interact in a very natural way with machines, since speech is the main mode of communication for humans [59]. In our case, the last of the pillars that make up the HERMES system is precisely the assistant but endowed with greater intelligence, as we will indicate below.…”

Section: Virtual Assistantmentioning

confidence: 97%

“…The development of natural dialogues between humans and machines is one of the goals of AI [50,52]. Voice assistants are here to stay [53], not only because of their benefits for people with specific needs or older adults [54][55][56][57] but also because they have been shown to bring benefits such as social cohesion [58] or improve comfort and allow the user to interact in a very natural way with machines, since speech is the main mode of communication for humans [59]. In our case, the last of the pillars that make up the HERMES system is precisely the assistant but endowed with greater intelligence, as we will indicate below.…”

Section: Virtual Assistantmentioning

confidence: 99%

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Energy Management Expert Assistant, a New Concept

Linan-Reyes

Garrido-Zafra

Gil-de-Castro

et al. 2021

Sensors

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In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed the creation of a high-performance and easy-to-manage expert system (ES). It has been developed in a framework that includes, on the one hand, the efficient energy management functionality boosted with an Internet of Things (IoT) platform, where artificial intelligence (AI) and big data treatment are blended, and on the other hand, an assistant that interacts both with the user and with the HEMS itself. The creation of this ES has made it possible to optimize consumption levels, improve security, efficiency, comfort, and user experience, as well as home security (presence simulation or security against intruders), automate processes, optimize resources, and provide relevant information to the user facilitating decision making, all based on a multi-objective optimization (MOP) problem model. This paper presents both the scheme and the results obtained, the synergies generated, and the conclusions that can be drawn after 24 months of operation.

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Section: Virtual Assistantmentioning

confidence: 97%

Section: Virtual Assistantmentioning

confidence: 99%

Energy Management Expert Assistant, a New Concept

Linan-Reyes

Garrido-Zafra

Gil-de-Castro

et al. 2021

Sensors

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show abstract

“…Advances in natural-language processing and ubiquitous high-performance networks have paved the way for intelligent voice assistants (IVAs) to be the center of the smart home revolution ever since the early 2000s [4]. With applications ranging from eGovernment [5], to accessibility support for humans with disabilities [6], [7], to simple convenience, IVAs were present in more than 41% of homes in the United States alone; generating a projected revenue of up to $19 billion [8]. In fact, the average Google search interest for the term has quadrupled since 2013, after having experienced minor spikes in 2010 and 2012, respectively [9].…”

Section: Background and Related Workmentioning

confidence: 99%

Smart Home Voice Assistants: A Literature Survey of User Privacy and Security Vulnerabilities

Sharif

Tenbergen

2020

J. Complex Syst. Inform. Model. Q.

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Intelligent voice assistants are internet-connected devices, which listen to their environment and react to spoken user commands in order to retrieve information from the internet, control appliances in the household, or notify the user of incoming messages, reminders, and the like. With their increasing ubiquity in smart homes, their application seems only limited by the imagination of developers, who connect these off-the-shelf devices to existing apps, online services, or appliances. However, since their inherent nature is to observe the user in their home, their ubiquity also raises concern of security and user privacy. To justify the trust placed into the devices, the devices must be secure from unauthorized access and the back-end infrastructure tasked with speech-to-text analysis, command interpretation, and connection to other services and appliances must maintain confidentiality of data. To investigate existing possible vulnerabilities, approaches to mitigate them, as well as general considerations in this emerging field, we supplement the findings of a recent study with results from a systematic literature review. We were able to compile a list of six main types of user privacy vulnerabilities, partially confirming previous findings, but also finding additional issues. We discuss these vulnerabilities, their associated attack vectors, and possible mitigations users can take to protect themselves.

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“…While the emphasis is often put on the assistive device itself, such systems actually include three important parts: the user, the control interface, and the device (e.g., robotic arm and exoskeleton). In fact, this is the case for any human-machine interaction and more often than not, the interface, which links the device to the user, seems to be the key element in the system [3][4][5]. So, when it comes to design, it is worth spending time on developing a valuable interface, especially with ATs, on which the ability of a user to be independent in his or her daily living task may heavily rely on it.…”

Section: Introductionmentioning

confidence: 99%

“…Another popular instance is voice control. It has been shown that commercial voice assistants can help people in their daily tasks by providing functionalities to interact with their phone [8], handle lights, or simply play music [3]. Voice assistants often require an internet connection, but lighter versions can also be implemented offline [9].…”

Section: Introductionmentioning

confidence: 99%

IMU-Based Hand Gesture Interface Implementing a Sequence-Matching Algorithm for the Control of Assistive Technologies

Schweitzer

Campeau-Lecours

2021

Signals

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Assistive technologies (ATs) often have a high-dimensionality of possible movements (e.g., assistive robot with several degrees of freedom or a computer), but the users have to control them with low-dimensionality sensors and interfaces (e.g., switches). This paper presents the development of an open-source interface based on a sequence-matching algorithm for the control of ATs. Sequence matching allows the user to input several different commands with low-dimensionality sensors by not only recognizing their output, but also their sequential pattern through time, similarly to Morse code. In this paper, the algorithm is applied to the recognition of hand gestures, inputted using an inertial measurement unit worn by the user. An SVM-based algorithm, that is aimed to be robust, with small training sets (e.g., five examples per class) is developed to recognize gestures in real-time. Finally, the interface is applied to control a computer’s mouse and keyboard. The interface was compared against (and combined with) the head movement-based AssystMouse software. The hand gesture interface showed encouraging results for this application but could also be used with other body parts (e.g., head and feet) and could control various ATs (e.g., assistive robotic arm and prosthesis).

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Voice Assistant Strategies and Opportunities for People with Tetraplegia

Cited by 11 publications

References 4 publications

Energy Management Expert Assistant, a New Concept

Energy Management Expert Assistant, a New Concept

Smart Home Voice Assistants: A Literature Survey of User Privacy and Security Vulnerabilities

IMU-Based Hand Gesture Interface Implementing a Sequence-Matching Algorithm for the Control of Assistive Technologies

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