Use Of Personal Assistants Research Articles

A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration.

Coupling brain-computer interfaces (BCIs) and robotic systems in the future can enable seamless personal assistant systems in everyday life, with the requests that can be performed in a discrete manner, using one's brain activity only. These types of systems might be of a particular interest for people with locked-in syndrome (LIS) or amyotrophic lateral sclerosis (ALS) because they can benefit from communicating with robotic assistants using brain sensing interfaces. In this proof-of-concept work, we explored how a wireless and wearable BCI device can control a quadruped robot-Boston Dynamics' Spot. The device measures the user's electroencephalography (EEG) and electrooculography (EOG) activity of the user from the electrodes embedded in the glasses' frame. The user responds to a series of questions with YES/NO answers by performing a brain-teaser activity of mental calculus. Each question-answer pair has a pre-configured set of actions for Spot. For instance, Spot was prompted to walk across a room, pick up an object, and retrieve it for the user (i.e., bring a bottle of water) when a sequence resolved to a YES response. Our system achieved at a success rate of 83.4%. To the best of our knowledge, this is the first integration of wireless, non-visual-based BCI systems with Spot in the context of personal assistant use cases. While this BCI quadruped robot system is an early prototype, future iterations may embody friendly and intuitive cues similar to regular service dogs. As such, this project aims to pave a path towards future developments in modern day personal assistant robots powered by wireless and wearable BCI systems in everyday living conditions.

Formal help for persons with multiple sclerosis-Background factors associated with usage of personal assistance and home help in Sweden.

Multiple sclerosis (MS) is a chronic neurological disease that may cause several different symptoms, some which may entail the need for help in daily life. The aim of this study was to explore the association between sociodemographic background factors and the use of personal assistance and home help services (home help) among persons with MS in Sweden. The study was based on cross-sectional survey data merged with register data and included 3,863 persons with MS aged 20-51. Binary logistic regression analyses were performed to identify factors associated with the use of personal assistance and home help. The central finding of this study was that grade of impairment, as determined by the Expanded Disability Status Scale for Multiple Sclerosis (EDSS), was the most important variable associated with the use of both personal assistance (p < 0.001, OR 18.83) and home help (p < 0.001, OR 6.83). Living alone and receiving sickness benefit were also both associated with the use of personal assistance (p < 0.001, OR 3.32; p 0.001, OR 3.32) and home help (p 0.004, OR 2.56; p 0.011, OR 2.56). Stating a visible symptom of MS as being the most limiting factor of the disease (p 0.001, OR 2.73) and having a disposable income below the limit for poverty risk (p 0.02, OR 2.16) was associated with the use of personal assistance. Receiving informal, meaning unpaid, help (p 0.049, OR 1.89) was associated with the use of home help. Several background factors were controlled for but were not related to differences in the usage of formal help. The results indicated no significant differences in demographic characteristics that could be linked to unequal distribution. However, differences were found between those using personal assistance and home help. The latter were mainly affected by invisible symptoms, suggesting a plausible influencing factor in the chances of obtaining more comprehensive help in the form of personal assistance. Users of home help were also more likely to receive informal help than users of personal assistance, which may suggest that home help is not sufficient.

How AI can move customer personalisation to customer contextualisation

Reaching beyond personalisation to achieve contextualisation is the holy grail for brands and retailers — a challenge that countless businesses hope to crack by applying emerging artificial intelligence (AI) technologies. International business leaders are increasing their investments in technology and data analytics to drive performance. This includes building out marketing teams with data scientists and acquiring tech start-ups to transform their businesses’ capabilities to more accurately predict customer needs and wants. McDonald’s US$300m acquisition of AI start-up Dynamic Yield is a clear example, described as fuelling the business’s vision to create more personalised customer experiences. In the race to tailor communications and customise recommendations, however, few businesses can deliver contextualisation — the ability to understand what a customer wants, immediately, at a particular moment in time. Advances in voice interfaces and consumer use of personal assistants only accentuate the need for greater sophistication in analysing situational context. This paper shares a view of the emerging AI-fuelled voice and virtual assistant ecosystem, how businesses can drive demonstrable value by solving the contextualisation challenge, and how new low-code development practices can accelerate and democratise these coming technological advances.

Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants

Users install many apps on their smartphones, raising issues related to information overload for users and resource management for devices. Moreover, the recent increase in the use of personal assistants has made mobile devices even more pervasive in users’ lives. This article addresses two research problems that are vital for developing effective personal mobile assistants: target apps selection and recommendation . The former is the key component of a unified mobile search system: a system that addresses the users’ information needs for all the apps installed on their devices with a unified mode of access. The latter, instead, predicts the next apps that the users would want to launch. Here we focus on context-aware models to leverage the rich contextual information available to mobile devices. We design an in situ study to collect thousands of mobile queries enriched with mobile sensor data (now publicly available for research purposes). With the aid of this dataset, we study the user behavior in the context of these tasks and propose a family of context-aware neural models that take into account the sequential, temporal, and personal behavior of users. We study several state-of-the-art models and show that the proposed models significantly outperform the baselines.

Personal choices and situated data: Privacy negotiations and the acceptance of household Intelligent Personal Assistants

The emergence of personal assistants in the form of smart speakers has begun to significantly alter people’s everyday experiences with technology. The rate at which household Intelligent Personal Assistants such as Amazon’s Echo and Google Home emerged in household spaces has been rapid. They have begun to move human–computer interaction from text-based to voice-activated input, offering a multiplicity of features through speech. The supporting infrastructure connects with artificial intelligence and the internet of things, allowing digital interfaces with domestic appliances, lighting systems, thermostats, media devices and more. Yet this also constitutes a significant new production of situated and sensitive data. This study focuses on how (potential) users negotiate and make choices about household Intelligent Personal Assistant use in connection with their data. This study is based on empirical research in Europe with early adopters in Germany and potential users in the Netherlands. This examination of users’ early stage technology acceptance considerations highlights particular practices and choices of users to either preserve their privacy or determine what is acceptable use for their data. Drawing on a simplified version of Unified Theory of Acceptance and Use of Technology 2, a quantitative model for technology acceptance, we demonstrate how acceptance of a household Intelligent Personal Assistants does not imply access to all household data, how users see usefulness in relation to a proliferation of devices, and note the recognition by users regarding the efforts needed for full use and acceptance. The study highlights the complexity of data production at a household level and how these devices produce myopic views of users for platforms.

The Use of Mobility Devices and Personal Assistance: A Joint Modeling Approach.

Objective: To examine whether mobility device use substitutes for personal assistance among U.S. older adults. Method: Using the National Health and Aging Trends Study, we identified 3,211 community-living older adults (aged 65 and older) who reported mobility difficulties at baseline. We used recursive bivariate probit models to simultaneously estimate the effect of covariates on the likelihood of using (a) mobility devices and (b) personal assistance to accommodate mobility difficulty. Independent variables included age, gender, race, physical/mental health status, cognition, and comorbidities. Results: Predictors of the use of personal assistance and mobility devices exhibit important similarities and differences. Device use reduced the odds of receiving personal assistance by 50% (odds ratio [OR] = 0.50, 95% confidence interval [CI] = [0.29, 0.86]). Discussion: Findings suggest device use substitutes for personal assistance. Practitioners and policymakers should promote the appropriate use of mobility devices while recognizing the importance of assistance with some groups and the potential of increasing mobility device use.

Determinants of Work Performance in Workers with Depression and Anxiety: A Cross-Sectional Study.

Depression and anxiety are highly prevalent disorders with an impact on existential aspects of person’s life, including employment i.e., work performance (WP). In order to develop appropriate strategies, it is essential to identify determinants of WP. The objective of this study was to identify the built, social, attitudinal and health system-related environmental determinants of WP in workers with anxiety or depression in total (N = 1211) and regarding the level of disability. Hierarchical binary logistic regression was performed on data obtained from implementation of the WHO Model Disability Survey (MDS) in Chile in 2015. Hindering aspects of means of transportation and workplace, and the use of personal assistance were determinants of WP for all workers with anxiety or depression. Results differed with level of disability. Hindering aspects of means of transportation and workplace, and discrimination were determinants of WP for persons with mild to moderate disability, while hindering aspects of the workplace and dwelling, and the use of personal assistance were determinants of WP for persons with severe disability. Our results emphasize the need for a broader understanding of determinants of WP and the requirement for an integrative approach in developing both universal and specific strategies that go beyond workplace settings.

Effective Use of Personal Assistants for Students With Disabilities: Lessons Learned From the 2014 Accessible Geoscience Field Trip

ABSTRACTIn 2014, the Geological Society of America sponsored an Accessible Field Trip, designed to demonstrate best practices in accommodating a wide variety of participants with disabilities during a field experience. During the trip, an aide was deployed to assist two student participants with sensory disabilities, one with low vision and the other with deafness. The experiences and interactions between the assistant and the students were compiled into a thick description, which was subsequently analyzed through self-reflective case study. The lived experiences of the participants and the assistant are interpreted to describe the efficacy of personal assistants in field study. Effective assistants maintain an awareness that students with disabilities have varying comfort levels with self-advocacy. An effective assistant also facilitates a positive perception of the student with a disability within the full group. Key skills of the personal assistant include awareness of spatial placement, communication, and flexibility. Three fundamental recommendations are presented for the effective use of personal assistants: (1) open and continuous communication as part of pretrip planning, (2) trip leaders must be willing to be flexible and adaptable with their field sites and learning goals, and (3) trip leaders must recognize social and spatial parameters of assisting students with disabilities. Ultimately, trip planners must become familiar with the personal and cultural backgrounds and abilities of their students to plan for an effective instructional excursion.

Follow-up of individuals with cerebral palsy through the transition years and description of adult life: the Swedish experience.

To describe the process of providing healthcare through the transition years to individuals with cerebral palsy (CP) and to present data on living arrangements, education/occupation status, and use of personal assistance in young Swedish adults with CP. A descriptive cross-sectional study of 102 participants (63 males) participating in a standardized follow-up program called CPUP. Data were analyzed in relation to the Gross Motor Function Classification System (GMFCS) and the Manual Ability Classification System (MACS). Of the participants, 58 "lived with parents", 29 reported "independent living", and 15 reported "special service housing". Living arrangements differed among GMFCS levels (p< 0.001) and 14 of 20 with severe disabilities lived with their parents. Thirty-four of 70 reported personal assistance; use of assistance correlated (p< 0.001) with GMFCS (r(s) =0.71) and MACS (r(s) = 0.70). Thirty five were "students", 20 "employed", 36 in "daily activities", and 9 were "unemployed". Of those employed, 18 had GMFCS levels I-II. Some young adults with CP and severe functional limitations manage independent living - however, many still live with their parents. Although many are students, a large number are unemployed. There is disconnect between the pediatric and adult healthcare systems. CPUP may facilitate in making the transition smoother.

A Quality-of-Life Scale for Assistive Technology: Results of a Pilot Study of Aging and Technology

In an aging society, it is increasingly important to understand how assistive devices can be used by older people to maintain quality of life despite chronic disabilities. Assistive technology is a mainstay of physical therapist practice, but the potential for device use to affect psychosocial well-being is not yet understood at the population level. The objective of this study was to develop a parsimonious indicator that can be used in population-based surveys to represent the effect of assistive technologies on quality of life for older people, separate from personal assistance. This study was a cross-sectional survey. /b> The methods used in this study were psychometric scale development and structural equation modeling. The results indicated that a parsimonious, valid, and reliable scale reflecting quality of life related to assistive device use can be created from 3 questions designed to measure improvements in safety, control, and participation due to technology. The findings also suggested that assistive technology may more effectively improve quality of life for people with greater levels of functional limitations. The data were derived from a cross-sectional survey conducted by telephone. The use of personal assistance, on average, was low; thus, the applicability to a population with more profound care needs has yet to be confirmed. Determining the broader impact of assistive technology on quality of life with population-level measures may provide insight into how best to leverage technologies to prevent dependence in aging adults.

Personal Assistance for Children and Adolescents (0‐18) with Intellectual Impairments

This review investigated the effectiveness of personal assistance versus any other form of care for children and adolescents with intellectual impairments. Personal assistance is here defined as paid support of at least 20 hours per week for people with impairments.A literature search identified one study that met the inclusion criteria, which included 1,002 participants. It suggested that personal assistance may be preferred over other services; however, some people prefer other models of care. This review indicates that personal assistance may have some benefits for some recipients and their informal caregivers. Paid assistance might substitute for informal care and cost government more than alternative arrangements; however, the relative total costs to recipients and society are unknown. One study supports use of Personal Assistance for children and teens with intellectual impairments: more research is needed.AbstractBackgroundThere is a high and increasing prevalence of intellectual impairments among children and adolescents in the West. Many countries offer personal assistance in the form of individualised support for people living in the community by a paid assistant other than a healthcare professional for at least 20 hours per week.ObjectivesTo assess the effectiveness of personal assistance for children and adolescents with intellectual impairments, and the impacts of personal assistance on others, compared to other interventions.Search methodsElectronic databases including CENTRAL, MEDLINE, EMBASE, CINAHL, PsycINFO, ERIC, Dissertation Abstracts International and a variety of specialist Swedish databases were searched from 1980 to June 2005; reference lists were checked; 345 experts, organisations, government bodies and charities were contacted in an attempt to locate relevant research.Selection criteriaChildren and adolescents with intellectual impairments (0‐18 years) living in the community who require assistance to perform tasks of daily living (e.g., bathing and eating) and participate in normal activities due to permanent impairments. Controlled studies of personal assistance in which participants were prospectively assigned to study groups and in which control group outcomes were measured concurrently with intervention group outcomes were included.Data collection and analysisTitles and abstracts were examined by two reviewers. Outcome data were extracted. Studies were assessed for the possibility of bias. Results and potential sources of bias are presented for included studies.ResultsOne included study randomised 1002 participants to personal assistance or usual care. Whilst personal assistance was generally preferred over other services, some people prefer other models of care. This review indicates that personal assistance may have some benefits for some recipients and may benefit caregivers. However, near complete dependence on proxy respondents raises concerns about the validity of these results. Paid assistance probably substitutes for informal care and may cost government more than alternatives; however, the total costs to recipients and society are currently unknown.Authors’ conclusionsResearch in this field is limited. When implementing new programmes, recipients could be randomly assigned to different forms of assistance. While advocates may support personal assistance for myriad reasons, this review demonstrates that further studies are required to determine which models of personal assistance are most effective and efficient for particular people.

Participation Survey/Mobility: Psychometric Properties of a Measure of Participation for People With Mobility Impairments and Limitations

Gray DB, Hollingsworth HH, Stark SL, Morgan KA. Participation Survey/Mobility: psychometric properties of a measure of participation for people with mobility impairments and limitations. Objective To describe the development and psychometric properties of a self-report survey of participation by people with mobility limitations, the Participation Survey/Mobility (PARTS/M). Design The information obtained during interviews and focus groups was used to develop items for the PARTS/M. Demographics and measures of disability, health, and functioning were collected. The PARTS/M was administered twice. Setting Primarily in the midwestern United States. Participants Purposeful sample of 604 people with mobility limitations having a diagnosis of spinal cord injury, multiple sclerosis, cerebral palsy, stroke, or postpoliomyelitis. Interventions Not applicable. Main Outcome Measure PARTS/M is composed of 20 major life activities that are placed in 6 domains used in the activity/participation component of the International Classification of Functioning, Disability and Health: self-care; mobility; domestic life; interpersonal interactions and relationships; major life areas; and community, social, and civic life. For each activity, questions were asked about components of participation including frequency, health-related limitations, importance, choice, satisfaction, use of assistive technology, and use of personal assistance. Results PARTS/M domains and components of participation had good internal consistency and stability. Composite participation scores were developed for participation components and domains. Conclusions PARTS/M is a reliable measure of some aspects of participation in major life activities for people with mobility impairments and limitations living in community settings.

The effect of equipment usage and residual task difficulty on use of personal assistance, days in bed, and nursing home placement.

To determine whether residual difficulty in functioning in spite of equipment use is linked with increased use of personal assistance. Longitudinal. Two waves of the Asset and Health Dynamics Among the Oldest Old (AHEAD) database were used to test the effect of residual difficulty on hours of personal assistance and bed days at Wave 1 on hours of personal assistance, bed days, and nursing home placement at Waves 1 and 2. A nationally representative setting of community-dwelling persons aged 70 and older and their spouses, regardless of age at Wave 1 AHEAD. There was movement of some respondents into nursing homes by the Wave 2 interview. Respondents to the AHEAD survey, N=8,222 at Wave 1. The dependent variables were hours of personal assistance in the month before the AHEAD survey (Waves 1 and 2), number of days in month before the survey in which the person did not get out of bed (Waves 1 and 2), and residence in a nursing home at Wave 2. The key explanatory variable was a mutually exclusive (four category) variable that specified whether there was residual difficulty (yes/no) in indoor mobility in spite of using equipment to aid specifically with indoor mobility. The four-category variable was defined by the four categories created by a cross-tabulation of equipment use (yes/no) and difficulty with indoor mobility (yes/no). A similar four-category variable was also defined for transferring in the home. In cross section, equipment users with residual difficulty reported more hours of personal assistance in the case of indoor mobility impairment and were more likely to have some hours of personal assistance than those without residual difficulty with indoor mobility and transferring. Longitudinally, those with residual difficulty at Wave 1 were more likely to need some personal assistance hours at Wave 2 (odds ratio=1.67, 95% confidence interval= 1.23-2.26 for indoor mobility). For transferring, those with residual difficulty had 43 more hours of personal assistance per month (P=.001) than those for whom equipment resolved their disability. Residual disability was linked to more bed days for users of indoor mobility and transferring equipment, but it was not predictive of nursing home placement by Wave 2. Equipment for indoor mobility or transfers apparently resolves difficulty for some users of the equipment but not for others. Residual task difficulty in spite of equipment for indoor mobility and transferring is linked with worse outcomes, including increased dependency on personal assistance and more days in bed. This shows that more attention is needed to determine whether equipment prescribed is appropriate for a patient's difficulty and that follow-up assessment is crucial after equipment is prescribed.

The Negotiation and Use of Personal Assistance by Women with Chronic Arthritis

The aim of this study was to gain a greater understanding of the impact of chronic arthritis on the functional ability of women, the strategies that they used to maintain their function and the integration of these strategies into their lifestyles. A qualitative approach was adopted, using semi-structured interviews, personal diaries and focus groups. Twelve women with chronic arthritis participated over a period of 2 years. All the interviews and focus group discussions were transcribed and coded. The data analysis involved the development of a thematic framework to identify recurring themes and their relationships. The negotiation and use of personal assistance emerged as an important strategy used by the women. It was highlighted as a complex strategy owing to the number of factors influencing its use, the personal connotations of being a recipient of assistance and the need to negotiate levels of assistance with other family members. Insights into the women's use of assistance have the potential to inform the way in which this strategy is approached in educational programmes and also highlight the need to address how people with chronic arthritis communicate their need for assistance and negotiate help within the family.

Gender differences in disability, assistance, and subjective well-being in later life.

This study focused on gender differences in functional disability among older adults, their reliance on personal assistance and technical aids, and relationships among the use of these sources of assistance, functional disability, and subjective feelings of well-being. The analyses employ data from interviews conducted with 1,406 community-dwelling elders living in Manitoba, Canada. The results reveal (a) greater disability and somewhat greater use of personal assistance among women, and (b) differences between men and women in relationships between both personal and technical resources and subjective feelings of well-being across levels of functional disability.

Self report functional disability scores and the use of devices: two distinct aspects of physical function in rheumatoid arthritis.

Self report scores of physical disability and the use of devices or assistance in performing activities are sometimes integrated in one index of physical function, although they are aimed at measuring different dimensions of physical disability. The properties of both parameters were evaluated in two groups of patients with rheumatoid arthritis (RA). A group of patients with RA of recent onset was compared with a group with established disease on four parameters of disability: use of devices, use of personal assistance, and scores on a validated Dutch version of the Health Assessment Questionnaire Disability Index, with and without integrating the use of devices or assistance. Correlation coefficients among disability parameters were calculated. In multiple regression analysis the influence of disease duration on the disability parameters was determined after disease activity, psychological wellbeing, and demographical characteristics had been controlled. Functional disability scores were mainly related to inflammatory activity and psychological wellbeing, whereas the uses of devices had a strong relation with disease duration, independent of current disease activity. Integrating these parameters of disability yielded a parameter that was still mainly associated with disease activity. Self report scores of functional disability and the use of devices represent distinct dimensions of physical function in RA. Integrating both parameters into one measure of physical disability does not provide an index adequately reflecting both dimensions. The use of both parameters to measure outcome in long term clinical studies is recommended.

Changes in the use of personal assistance and special equipment from 1982 to 1989: results from the 1982 and 1989 NLTCS.

Analysis of data from the 1982, 1984 and 1989 National Long-term Care Surveys suggests that long-term care use is changing. Between 1982 and 1989, equipment use by persons with light physical impairment, or to supplement personal assistance for the severely disabled, increased. Over this same period, there was a decline in the use of personal assistance as the sole modality to deal with chronic impairments. Since equipment costs are nonrecurrent, whereas personal assistance costs are recurrent, this finding has implications for long-term care policy.

The Use of Personal Assistance Services by Persons With Spinal Cord Injury

Previous discussions of personal assistance have focused on census data and descriptions of service programs. The current study examines patterns of usage of personal assistance among a community-based sample of 284 persons with spinal cord injury and how these patterns relate to other aspects of their lives. Expected significant relationships were found among variables of who provides assistance, whether they are paid, and with whom participants live, and between the amount of assistance received and severity of disability. Unexpectedly high rates of use of unpaid nonrelatives and paid relatives were found, as was the use of a combination of relatives and nonrelatives as assistants. Use of nonrelatives increased with education level. The effect of usage pattern on productivity could not be examined due to a staggeringly high unemployment rate (89%). Implications of these results for development of a national policy on providing personal assistance services, the expansion of formal service delivery systems, and the further investigation of the use of personal assistance are discussed.