scholarly journals The Trustworthiness of Voice Assistants in the Context of Healthcare Investigating the Effect of Perceived Expertise on the Trustworthiness of Voice Assistants, Providers, Data Receivers, and Automatic Speech Recognition

2021 ◽  
Vol 3 ◽  
Author(s):  
Carolin Wienrich ◽  
Clemens Reitelbach ◽  
Astrid Carolus
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Emerging Market ◽  
Individual Characteristics ◽  
Healthcare Sector ◽  
Sensitive Data ◽  
Future Technology ◽  
Health Related ◽  
Theoretical Line ◽  
The Impact

As an emerging market for voice assistants (VA), the healthcare sector imposes increasing requirements on the users’ trust in the technological system. To encourage patients to reveal sensitive data requires patients to trust in the technological counterpart. In an experimental laboratory study, participants were presented a VA, which was introduced as either a “specialist” or a “generalist” tool for sexual health. In both conditions, the VA asked the exact same health-related questions. Afterwards, participants assessed the trustworthiness of the tool and further source layers (provider, platform provider, automatic speech recognition in general, data receiver) and reported individual characteristics (disposition to trust and disclose sexual information). Results revealed that perceiving the VA as a specialist resulted in higher trustworthiness of the VA and of the provider, the platform provider and automatic speech recognition in general. Furthermore, the provider’s trustworthiness affected the perceived trustworthiness of the VA. Presenting both a theoretical line of reasoning and empirical data, the study points out the importance of the users’ perspective on the assistant. In sum, this paper argues for further analyses of trustworthiness in voice-based systems and its effects on the usage behavior as well as the impact on responsible design of future technology.

scholarly journals Individual- and state-level factors associated with functional limitation prevalence among Colombian elderly: a multilevel analysis

2018 ◽  
Vol 34 (8) ◽  
Author(s):  
Silvia Marcela Ballesteros ◽  
José Moreno-Montoya
Keyword(s):  
Functional Limitation ◽  
State Level ◽  
Nationwide Survey ◽  
Individual Characteristics ◽  
Public Health Care ◽  
Health Coverage ◽  
Cross Sectional ◽  
Factors Associated ◽  
Health Related ◽  
The Impact

Abstract: This study aimed to identify the main regional factors associated with variations in the prevalence of functional limitation on the older adult in Colombia adjusted by individual characteristics. This multilevel study used cross-sectional data from 23,694 adults over 60 years of age in the SABE, Colombia nationwide survey. State-level factors (poverty, development, inequity, violence, health coverage, and access to improved water sources), as well as individual health related, socioeconomic and demographic characteristics, were analyzed. The overall prevalence of functional impairment for the basic activities of daily living (ADL) was 22%. The presence of comorbidities, low educational level, physical inactivity, no participation in social groups, mistreatment and being over 75 years old were associated with functional limitation. At the group level, the analysis showed significant differences in the functional limitation prevalence across states, particularly regarding the socioeconomic status measured according to the Human Development Index (median OR = 1.22; 95%CI: 1.13-1.30; p = 0.011). This study provides evidence on the impact of socioeconomic variation across states on FL prevalence in the Colombian elderly once adjusted for individual characteristics. The findings of this study, through a multilevel approach methodology, provide information to effectively address the conditions that affect the functionality in this population through the identification and prioritization of public health care in groups with economic and health vulnerability.

Interactive Voice Response (IVR) Systems as Automatic Speech Recognition (ASR) Comes of Age

1998 ◽  
Vol 42 (4) ◽  
pp. 444-447 ◽  
Author(s):  
Daryle Gardner-Bonneau ◽  
Cristina Delogu ◽  
Chuck Green ◽  
Lydia Volaitis ◽  
Martha Lindeman ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Interactive Voice Response ◽  
Commercial Use ◽  
The Impact ◽  
Potential Customers ◽  
Workplace Speech ◽  
Ivr Systems ◽  
Made In ◽  
Voice Response

While interactive voice response (IVR) systems were rapidly making their way into the workplace, speech scientists were working hard to improve the performance of automatic speech recognition (ASR) systems to foster their acceptance among potential customers. In the last five years, great strides have been made in this regard, and the commercial use ASR is on the rise. The purpose of this panel is to explore the impact that ASR is (or is not) having on the design of IVR systems that were envisioned originally to operate solely via touch-tone input.

scholarly journals Towards an Automatic Speech-Based Diagnostic Test for Alzheimer’s Disease

2021 ◽  
Vol 3 ◽  
Author(s):  
Roozbeh Sadeghian ◽  
J. David Schaffer ◽  
Stephen A. Zahorian
Keyword(s):  
Speech Recognition ◽  
Diagnostic Test ◽  
Automatic Speech Recognition ◽  
Recognition System ◽  
Theory And Practice ◽  
Linguistic Features ◽  
Automatic Speech Recognition System ◽  
Non Invasive ◽  
Considerable Work ◽  
The Impact

Automatic Speech Recognition (ASR) is widely used in many applications and tools. Smartphones, video games, and cars are a few examples where people use ASR routinely and often daily. A less commonly used, but potentially very important arena for using ASR, is the health domain. For some people, the impact on life could be enormous. The goal of this work is to develop an easy-to-use, non-invasive, inexpensive speech-based diagnostic test for dementia that can easily be applied in a clinician’s office or even at home. While considerable work has been published along these lines, increasing dramatically recently, it is primarily of theoretical value and not yet practical to apply. A large gap exists between current scientific understanding, and the creation of a diagnostic test for dementia. The aim of this paper is to bridge this gap between theory and practice by engineering a practical test. Experimental evidence suggests that strong discrimination between subjects with a diagnosis of probable Alzheimer’s vs. matched normal controls can be achieved with a combination of acoustic features from speech, linguistic features extracted from a transcription of the speech, and results of a mini mental state exam. A fully automatic speech recognition system tuned for the speech-to-text aspect of this application, including automatic punctuation, is also described.

scholarly journals Effort in Semi-Automatized Subtitling Processes

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Anke Tardel
Keyword(s):  
Speech Recognition ◽  
Visual Attention ◽  
Eye Tracking ◽  
Automatic Speech Recognition ◽  
Cognitive Effort ◽  
Task Duration ◽  
Insertions And Deletions ◽  
Split Attention ◽  
Technical Effort ◽  
The Impact

The presented study investigates the impact of automatic speech recognition (ASR) and assisting scripts on effort during transcription and translation processes, two main subprocesses of interlingual subtitling. Applying keylogging and eye tracking, this study takes a first look at how the integration of ASR impacts these subprocesses. 12 professional subtitlers and 13 translation students were recorded performing two intralingual transcriptions and three translation tasks to evaluate the impact on temporal, technical, and cognitive effort, and split-attention. Measures include editing time, visit count and duration, insertions, and deletions. The main findings show that, in both tasks, ASR did not significantly impact task duration, but participants had fewer keystrokes, indicating less technical effort. Regarding visual attention the existence of an ASR script did not decrease the time spent replaying the video. The study also shows that students were less efficient in their typing and made more use of the ASR script. The results are discussed in context of the experiment and an outlook on further research is given.

Neighborhood Resources and Social Participation Among Older Adults

2012 ◽  
Vol 25 (2) ◽  
pp. 296-318 ◽  
Author(s):  
Lucie Richard ◽  
Lise Gauvin ◽  
Yan Kestens ◽  
Bryna Shatenstein ◽  
Hélène Payette ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Information System ◽  
Geographic Information System ◽  
Social Participation ◽  
Individual Characteristics ◽  
Sociodemographic Characteristics ◽  
Health Related ◽  
Future Work ◽  
The Impact

Objective: This article examined the associations between proximity to selected locations considered to be conducive to social participation, and social participation itself, in urban-dwelling seniors. Methods: A sample of 520 older adults residing in the Montreal area provided reports of social participation and information about health, sociodemographic characteristics, social networks, and perceptions about features of their residential environment. Information about the distance between their home and five locations deemed to be conducive to social participation were obtained from a geographic information system. Results: Analyses showed a significant association between proximity to selected locations and social participation while accounting for individual characteristics and perceptions of neighborhood features (β = 0.37; SE = 0.17; p < 0.05). Discussion: Findings were consistent with contributions highlighting the impact of the built environment on seniors’ health-related behavior. Future work would benefit from the use of longitudinal designs and examinations of social participation through alternate channels.

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