Оценивание эффективности функционирования диалоговой системы на основе применения нечеткого вывода с нейросетевой настройкой

Представлены результаты исследования, направленные на совершенствование процесса оценивания эффективности функционирования диалоговых систем на основе разработки моделей нечеткого вывода и нейросетевого обучени

A Question of Access: Exploring the Perceived Benefits and Barriers of Intelligent Voice Assistants for Improving Access to Consumer Health Resources Among Low-Income Older Adults

Intelligent voice assistants (IVAs) such as Amazon Echo and Google Home present a promising opportunity to improve access to consumer health information and resources for older adults. However, researchers know little about older adults' opinions of using IVAs for these potentially critical tasks, particularly those with already limited access. In this paper, we explore older adults' views about IVAs for consumer health and wellness information with the goal of better understanding what they envision as benefits and barriers of using such technology in the future. We shared an IVA prototype with ten older adults (60 years of age or older). We interviewed them about how a similar system might impact their access to consumer health information. Participants saw the potential for IVAs to improve their search experiences and support them with other health tasks. However, participants were also concerned about adopting an IVA for health due to access barriers, confidentiality risks, and concerns about receiving trusted information. Based on our findings, we discuss considerations for designing IVAs for underserved, older adult populations

Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks

The increased prevalence of voice search presents opportunities to address consumer challenges accessing online health information. However, it is essential to understand how users’ perceptions of voice affect their search processes for health information, concerns, and different scenarios for using voice for health information tasks. We conducted semi-structured interviews with 16 younger (18-25) and older (60-64) adult participants to understand and compare their perceptions of using voice and text-based search for non-health-related and health related tasks. While most participants preferred traditional text search, younger adults were not inclined to use voice search for health information due to concerns about privacy, credibility, and perceived efficiency in filtering results. Older adults found voice search potentially beneficial for reducing manual query generation burdens; however, some were unsure of how to use the technology effectively. We provide a set of considerations to address concerns about voice search for health information tasks in the futur

Be a Miracle - Designing Conversational Agents to Influence Users’ Intention Regarding Organ Donation

The increasing need for organ donations remains a worldwide challenge as transplant waiting lists grow and donation rates persist at constant levels. The increasing popularity of conversational agents (CAs) has prompted new strategies for educating and persuading individuals to adjust their cognitive and behavioral beliefs and become donors. However, how CAs should be designed to modify uninformed users’ intention to donate remains unclear. Against this background, we conducted an online experiment (N=134) to examine the impact of a human-like CA design on users\u27 intention to become organ donors. Based on the three-factor theory of anthropomorphism and the elaboration likelihood model, we derive three theoretical mechanisms to understand the influence of a CAs human-like design on users’ intention to donate. The findings show that perceived anthropomorphism does not directly impact persuasion and empathy but is mediated via perceived usefulness to influence the intention to donate

Exploring the potential of emerging technologies to meet the care and support needs of older people : a Delphi survey

Some emerging technologies have potential to address older people’s care and support needs. However, there is still a gap in the knowledge on the potential uses of these technologies in some care domains. Therefore, a two-round Delphi survey was conducted to establish a consensus of opinion from a group of health and social technology experts (n = 21) on the potential of 10 emerging technologies to meet older people’s needs in five care and support domains. Experts were also asked to provide reasons for their choices in free-text spaces. The consensus level was set at 70%. Free-text responses were analyzed using thematic analysis. Voice activated devices was the technology that reached experts consensus in all assessed care domains. Some technologies (e.g., Artificial intelligence (AI) enabled apps and wearables and Internet of things (IoT) enabled homes) also show potential to support basic self-care and access to healthcare needs of older people. However, most of the remaining technologies (e.g., robotics, exoskeletons, virtual and augmented reality (VR/AR)) face a range of technical and acceptability issues that may hinder their adoption by older people in the near future. Findings should encourage the R & D community to address some of the identified challenges to improve the adoption of emerging technologies by older people

"Alexa is a Toy": Exploring Older Adults' Reasons for Using, Limiting, and Abandoning Echo

Intelligent voice assistants (IVAs) have the potential to support older adults' independent living. However, despite a growing body of research focusing on IVA use, we know little about why older adults become IVA non-users. This paper examines the reasons older adults use, limit, and abandon IVAs (i.e., Amazon Echo) in their homes. We conducted eight focus groups, with 38 older adults residing in a Life Plan Community. Thirty-six participants owned an Echo for at least a year, and two were considering adoption. Over time, most participants became non-users due to their difficulty finding valuable uses, beliefs associated with ability and IVA use, or challenges with use in shared spaces. However, we also found that participants saw the potential for future IVA support. We contribute a better understanding of the reasons older adults do not engage with IVAs and how IVAs might better support aging and independent living in the future

Chatbots applications in education: A systematic review

Abstract: Please refer to full text to view abstrac

Supporting remote therapeutic interventions with voice assistant technology

Nowadays, digital personal assistants are incorporated in many devices. Smart TVs, smartphones and stand-alone voice assistants like Amazon Alexa allow owners to control their smart home systems, play music on command or lookup information on the internet via voice queries. Using custom skills from various third-party vendors, almost any company can have a skill supporting the needs of their customers or control their devices. Furthermore, therapeutic interventions represent a vital part of most therapies, but there are some underlying struggles during therapies for which therapists can utilize the support of smart mobile devices. As an extension of an already existing system called Albatros, its features have been converted into an custom Alexa skill called remote interventions. But voice assistants can do more than improving everyday life, like helping people during medical therapies. A vital part of such therapies are therapeutic interventions, but therapists often face struggles when monitoring a patients progress and results. To overcome this problem, an existing system called Albatros allows a therapist to review the patients status. As an extension to the existing Albatros system, its features have been incorporated into a custom Alexa skill called remote interventions. Aiming to contribute to the proof of concept, the objective of this thesis is to demonstrate the development process of a custom Alexa skill which implements the features of retrieving exercises, allowing patients to record feedback via a smart speaker which can then be accessed by the therapist. With the addition of a notification feature the system also supports patients in remembering how and when to do their exercises properly. Due to the proof of concept nature of the project, apart from the actual development process, an analysis of whether or not the ideas and features translate well into a voice driven platform is performed

Smart Home Technology Effect on Behavior, Cognition, and Wellbeing of Individuals Aging In Place

As many older adults prefer to age in place, there is a possibility of elevating the Quality of Life (QoL) via implementing smart home technologies, specifically Voice-Controlled Intelligent Personal Assistants (VIPA). This study explores the acceptance and user behavior of older adults who utilize such devices and how it affects caregivers in providing care and peace of mind for caregivers and older adults. The research method adopted for this study consisted of a qualitative thematic analysis of verified Amazon Echo Dot 3rd Generation reviews, posted on Amazon's website, that involved the keywords senior, elderly, grandparents, and caregiver. The reviews were extracted via a web scraping software, ParseHub, that helped organize and export the reviews into a Microsoft Excel workbook to prepare for coding that data. The reviews provided insight into how seniors and caregivers utilize the VIPA device to age in place, helping determine relevant themes. The dataset was obtained after filtering through 1,048,808 online reviews by keywords and set the search criteria concerning the reviews type set to verified only. The datasets included 414 verified online reviews that contained the keywords senior, elderly, grandparents, and caregiver. The process resulted in forming eight themes, which are entertainment, communication, companionship, learning and news, emergency and security, reminders and alarms, home automation, and shopping. The users, seniors, and caregivers gave insight into how they utilize the VIPA device, which helped understand the most common uses of VIPA devices among older adults. Moreover, some of the reviews included additional information that indicated an elevated Quality of Life after acquiring and using the VIPA device, such as a senior with visual impairment using the smart speaker to control their home lights via voice commands

Conversational affective social robots for ageing and dementia support

Socially assistive robots (SAR) hold significant potential to assist older adults and people with dementia in human engagement and clinical contexts by supporting mental health and independence at home. While SAR research has recently experienced prolific growth, long-term trust, clinical translation and patient benefit remain immature. Affective human-robot interactions are unresolved and the deployment of robots with conversational abilities is fundamental for robustness and humanrobot engagement. In this paper, we review the state of the art within the past two decades, design trends, and current applications of conversational affective SAR for ageing and dementia support. A horizon scanning of AI voice technology for healthcare, including ubiquitous smart speakers, is further introduced to address current gaps inhibiting home use. We discuss the role of user-centred approaches in the design of voice systems, including the capacity to handle communication breakdowns for effective use by target populations. We summarise the state of development in interactions using speech and natural language processing, which forms a baseline for longitudinal health monitoring and cognitive assessment. Drawing from this foundation, we identify open challenges and propose future directions to advance conversational affective social robots for: 1) user engagement, 2) deployment in real-world settings, and 3) clinical translation