Survey on the Acceptance of Ambient Sensors in Solo and Older Couple-Only Households in Japan.

For this study, an online survey was conducted to discover the preferences of older adults when they used sensors in their households, rather than the preferences of the researchers who developed them. The sample size was 400 Japanese community-dwelling people aged 65 years and older. The numbers of samples for men and women, household composition (single-person/couple-only household), and younger senior (younger than 74 years old) and older senior (older than 75 years old) were equally assigned. The survey results showed that "informational security" and "constancy of life" were considered more important than other factors when installing sensors. Furthermore, looking at the results regarding the type of sensors that face resistance, we found that both cameras and microphones were evaluated as facing slightly strong resistance, while doors/windows, temperature/humidity, CO2/gas/smoke, and water flow were evaluated as not facing such strong resistance. The elderly who are likely to need sensors in the future also have various attributes, and the introduction of ambient sensors in elderly households may be further advanced by recommending applications that are easy to introduce based on the attributes of the target population, rather than discussing all of them in general.

Association between meaningful activities at home and subjective well-being in older adults with long-term care needs: A cross-sectional study.

For this study, we examined whether engaging in meaningful activities at home is associated with subjective well-being (SWB) in older adults with long-term care needs according to their preference for going out. We distributed a self-administered questionnaire to long-term care facilities in Japan and performed a linear mixed-effects model regression analysis of the responses. The dependent variable was SWB, and the independent variables were the number of meaningful home activities, preference for going out, and the interaction between them. In our survey (n = 217), we found that both number of meaningful home activities (B = 0.43; 95%CI: 0.17, 0.70) and its interaction with preference (B = -0.43; 95%CI: -0.79, -0.08) were associated with SWB. These results suggest the importance of engaging in meaningful activities at home for older adults who do not prefer going out. We should encourage older adults to participate in activities that match their preference.

Questionnaires for the Assessment of Cognitive Function Secondary to Intake Interviews in In-Hospital Work and Development and Evaluation of a Classification Model Using Acoustic Features.

The number of people with dementia is increasing each year, and early detection allows for early intervention and treatment. Since conventional screening methods are time-consuming and expensive, a simple and inexpensive screening is expected. We created a standardized intake questionnaire with thirty questions in five categories and used machine learning to categorize older adults with moderate and mild dementia and mild cognitive impairment, based on speech patterns. To evaluate the feasibility of the developed interview items and the accuracy of the classification model based on acoustic features, 29 participants (7 males and 22 females) aged 72 to 91 years were recruited with the approval of the University of Tokyo Hospital. The MMSE results showed that 12 participants had moderate dementia with MMSE scores of 20 or less, 8 participants had mild dementia with MMSE scores between 21 and 23, and 9 participants had MCI with MMSE scores between 24 and 27. As a result, Mel-spectrogram generally outperformed MFCC in terms of accuracy, precision, recall, and F1-score in all classification tasks. The multi-classification using Mel-spectrogram achieved the highest accuracy of 0.932, while the binary classification of moderate dementia and MCI group using MFCC achieved the lowest accuracy of 0.502. The FDR was generally low for all classification tasks, indicating a low rate of false positives. However, the FNR was relatively high in some cases, indicating a higher rate of false negatives.

Assessment of adjunct cognitive functioning through intake interviews integrated with natural language processing models.

In this article, we developed an interview framework and natural language processing model for estimating cognitive function, based on an intake interview with psychologists in a hospital setting. The questionnaire consisted of 30 questions in five categories. To evaluate the developed interview items and the accuracy of the natural language processing model, we recruited participants with the approval of the University of Tokyo Hospital and obtained the cooperation of 29 participants (7 men and 22 women) aged 72-91 years. Based on the MMSE results, a multilevel classification model was created to classify the three groups, and a binary classification model to sort the two groups. For each of these models, we tested whether the accuracy would improve when text augmentation was performed. The accuracy in the multi-level classification results for the test data was 0.405 without augmentation and 0.991 with augmentation. The accuracy of the test data in the results of the binary classification without augmentation was 0.488 for the moderate dementia and mild dementia groups, 0.767 for the moderate dementia and MCI groups, and 0.700 for the mild dementia and MCI groups. In contrast, the accuracy of the test data in the augmented binary classification results was 0.972 for moderate dementia and mild dementia groups, 0.996 for moderate dementia and MCI groups, and 0.985 for mild dementia and MCI groups.

Research Participant Selection Bias in the Workshop Using Socially Assistive Robots for Older Adults and Its Effect on Population Representativeness.

Every research participant has their own personality characteristics. For example, older adults assisted by socially assistive robots (SAR) may have their own unique characteristics and may not be representative of the general population of older adults. In this research, we compared the average personality characteristics of participants in a workshop on robotics recruited directly through posting with those of older Japanese adults to examine participant selection bias and group representativeness for future study of SARs. After a one-week recruitment period, the workshop was attended by 20 older participants (nine males and 11 females) aged between 62 and 86 years. Extroversion among workshop participants was 4.38, 0.40 higher than the average for older adults in Japan. The workshop participants' openness was 4.55, 1.09 higher than the average for the Japanese elderly. Thus, the results indicate a slight selection bias in the personal characteristics of the participants depending on the recruitment method when compared to the Japan national average for older adults. In addition, only one of 20 participants was below the cutoff on the LSNS-6 score and considered to have a tendency toward social isolation. The development and introduction of socially assistive robots is often being considered to support people in social isolation in their daily lives; however, the results of this study showed that it is difficult to recruit people who tend to be socially isolated when gathering research participants by methods such as posting. Therefore, the effectiveness of the method of recruiting participants should be carefully verified in research regarding socially assistive robots.

A concept for emotion recognition systems for children with profound intellectual and multiple disabilities based on artificial intelligence using physiological and motion signals.

PURPOSE: This study proposes a concept for emotion recognition systems for children with profound intellectual and multiple disabilities (PIMD) based on artificial intelligence (AI) using physiological and motion signals. METHODS: First, the heartbeat interval (R-R interval, RRI) of a child with PIMD was measured, and the correlation between the RRI and emotion was briefly tested in a preliminary experiment. Then, a concept based on AI for emotion recognition systems for children with PIMD was created using physiological and motion signals, and an emotion recognition system based on the proposed concept was developed using a random forest classifier taking as inputs the RRI, eye gaze, and other data acquired using low physical burden sensors. Subsequently, the developed emotion recognition system was evaluated, validating the proposed concept. Finally, we proposed a validated concept for emotion recognition systems. RESULTS: A correlation was found between the RRI and emotion. The emotion recognition system was created based on the proposed concept and tested. According to the results, the recognition rate of "negative" and "not negative" of 70.4% ± 6.1% (Mean ± S.D.) of the developed emotion recognition system was higher than 48.5% ± 5.0% of an unfamiliar person used as a control. CONCLUSION: The results indicate that the proposed concept for emotion recognition systems is useful for communicating with children with PIMD.

A new concept based on artificial intelligence for emotion recognition systems for children with profound intellectual and multiple disabilities (PIMD) using physiological and motion signals is proposed.An emotion recognition system based on the proposed concept developed using a random forest classifier taking as inputs the heartbeat interval, eye gaze, and other data acquired using low physical burden sensors were tested in terms of the emotion recognition rate.The recognition rate of "negative" and "not negative" of the developed system (i.e., 70.4% ± 6.1%) is higher than that of an unfamiliar person (i.e., 48.5% ± 5.0%).The proposed concept for emotion recognition systems may be useful for communicating with children with PIMD.

Cognitive Assessment of Japanese Older Adults with Text Data Augmentation.

Current medical science has not yet found a cure for dementia. The most important measures to combat dementia are to detect the tendency toward cognitive decline as early as possible and to intervene at an early stage. For this reason, screening for dementia based on language ability has attracted much attention in recent years. However, in most of the previous studies, the cohort of people with dementia has been smaller than the control cohort. In this paper, we use a pre-trained Japanese language model for text analysis and evaluate the effectiveness of text augmentation on a dataset consisting of Japanese-speaking healthy older adults and those with mild cognitive impairment (MCI). We also examined what tasks contributed to the results. This experimental setting can also be used to detect other diseases that may affect the language areas of the brain outside of the hospital.

Eliciting a User's Preferences by the Self-Disclosure of Socially Assistive Robots in Local Households of Older Adults to Facilitate Verbal Human-Robot Interaction.

To realize a society in which older adults can live independently in their homes and familiar environments for as long as possible, their lives can be supported by providing appropriate technology. In this case, a new intervention for older people using socially assistive robots (SARs) is proposed; however, previous research has demonstrated that individual differences exist in the use and response to SAR interventions, and it has also been reported that SARs are not used by users in some cases. Therefore, in this study, we developed a self-disclosure function to promote continuous interaction with robots, using a Japanese corpus and self-disclosure items. In this study, we defined the specific requirements and functions of self-disclosure in SARs and developed ten non-arbitrary speech scripts from the field of social psychology using a Japanese corpus and self-disclosure items. To evaluate the effect of self-disclosure in SARs, an SAR was introduced to each household for 20 days, with the consent of seven community-dwelling older adults. Based on the recorded voice interaction data, we analyzed how the number, total time, and quality of verbal interactions changed with the SAR's self-disclosure. Furthermore, we conducted group interviews with the participants and received positive comments regarding the robot's self-disclosure. Some participants considered the specific personality of the SAR by accumulating its behavioral characteristics. As a consequence, these results indicate that the robot's self-disclosure feature is effective in significantly increasing the quantity and quality of verbal interactions with older adults.

Comprehensible instructions from assistive robots for older adults with or without cognitive impairment.

The purpose of this study was to reveal comprehensible instructions from an assistive robot for older adults, across cognitive levels and characteristics. Participants included 19 older adults with or without cognitive impairment. We administered cognitive tests assessing all major domains (e.g., memory and attention). Participants were required to listen to robot instructions carefully, and perform three activities of daily living (e.g., taking medicine) with three different types of instructions. In instruction pattern 1 (IP1), the robot informed seniors of the task in one sentence, while in instruction patterns 2 and 3 (IP2 and IP3), the steps of each activity were split into two and three sentences, respectively. Participants with lower cognitive level showed lower task performance with IP1, whereas almost all participants completed tasks with IP2 and IP3. Cognitive domains such as working memory significantly affected task performances. Participants with lower attention made mistakes in taking their medicine. The results imply that step-by-step instructions should be used for older people with lower levels of cognitive function, especially working memory, and repeated instructions may be required for lower attention. Types of instruction should be selected depending on cognitive characteristics.

The application of an information support robot to reduce agitation in an older adult with Alzheimer's disease living alone in a community dwelling: a case study.

OBJECTIVE/BACKGROUND: Agitation is a common behaviour of Alzheimer's Disease (AD). Although healing robots have previously been used for alleviating agitation for people with dementia in hospitals and other healthcare facilities, its effects remain unclear whether an information-support robot capable of disseminating information with user needs may have similar effects when it is applied in community dwellings. This study was to investigate the effects of information-support robots for reducing agitation in older people with AD residing alone in community-dwellings. METHODS: One participant with AD who lived alone in a community-dwelling was recruited. Participant's frequencies, durations, and time courses of four patterns of agitation at home at baseline and during intervention were analysed. In this study, agitation was defined as: (a) restlessness going to the corridor (RLtoC), (b) restlessness going to the toilet (RLtoT), (c) restlessness going to the entrance (RLtoE), and (d) restlessness going to multiple places (RLtoMP). In the intervention phase, the information-support robot disseminated daily schedule or date information to the participant. RESULTS: RLtoC and RLtoMP were significantly reduced in frequency during the intervention. The durations of each episode of RLtoT and RLtoMP in the intervention were slightly reduced than those at the baseline. There were no differences in time courses of episodes of RLtoC and RLtoMP after the intervention. CONCLUSION: This case study showed that information-support robot was useful to alleviate agitation of an older adult with AD living alone in a community-dwelling. Further study is warranted.

Effect of the Information Support Robot on the Daily Activity of Older People Living Alone in Actual Living Environment.

Information support robots (ISRs) have the potential to assist older people living alone to have an independent life. However, the effects of ISRs on the daily activity, especially the sleep patterns, of older people have not been clarified; moreover, it is unclear whether the effects of ISRs depend on the levels of cognitive function. To investigate these effects, we introduced an ISR into the actual living environment and then quantified induced changes according to the levels of cognitive function. Older people who maintained their cognitive function demonstrated the following behavioral changes after using the ISR: faster wake-up times, reduced sleep duration, and increased amount of activity in the daytime (p < 0.05, r = 0.77; p < 0.05, r = 0.89, and p < 0.1, r = 0.70, respectively). The results suggest that the ISR is beneficial in supporting the independence of older people living alone since living alone is associated with disturbed sleep patterns and low physical activity. The impact of the ISR on daily activity was more remarkable in the subjects with high cognitive function than in those with low cognitive function. These findings suggest that cognitive function is useful information in the ISR adaptation process. The present study has more solid external validity than that of a controlled environment study since it was done in a personal residential space.

'Care literacy' in super aging Japan.

Accentuated by the ongoing coronavirus disease (COVID-19) pandemic, the change in Japan to community-based health and care services for older adults indicates an urgent need to enhance and spread citizens' understanding of care. This is a broader notion of care that incorporates conditions within the community to support the inclusion of older adults, involving not only those older adults receiving care and their direct providers of care, but also others in the community who are involved in the daily lives of these older adults. To underpin such a broader notion of care across citizens, this paper proposes 'care literacy' as a novel analytical concept, defined as the knowledge and capabilities that enable people in need of care to live their daily lives in the community and facilitate potential health and care solutions. Reflecting the interconnection of health and care and rooted in the local context, care literacy underpins aging by enabling this involvement of the broader community, and is disseminated through media and grassroot activities.

Effectiveness of using assistive technology for time orientation and memory, in older adults with or without dementia.

AIMS: The purposes of this study were to reveal the effectiveness of an electric calendar, showing the date and schedule automatically for older people, and to prove the characteristics of appropriate users. MATERIAL AND METHODS: The participants were 27 older adults with or without dementia (9 men and 18 women, mean age: 81.5 ± 6.9 years, range: 72-94 years). The study design was a cross-over randomized controlled trial, with 15 participants (55.6%) allocated to the first group to use the electric calendar, and 12 participants (44.4%) to the second intervention group. The outcome measures are daily behaviors and cognitive function assessed by the Mini-Mental State Examination and Neurobehavioral Cognitive Status Examination. RESULTS: Participants showed significant increase in total Mini-Mental State Examination score (p = 0.020, a paired t-test) after intervention period, whereas there was no significant difference after no intervention. Daily activities related healthcare were improved. The participants with positive outcomes showed higher motivations, and around 18 points in Mini-Mental State Examination. Most healthy older adults mentioned that electric calendars were useful, but unnecessary. CONCLUSION AND SIGNIFICANCE: Using the electric calendar was effective in improving global cognitive function and daily activities. The target users are older people, who (1) might have mild dementia, (2) have difficulties in daily activities, (3) can be supported by caregivers, and (4) have positive motivation to new technologies.IMPLICATIONS FOR REHABILITATIONAn electric calendar is effective on grovel cognitive function, and activities of daily living related to healthcare in older adults, as well as reality orientation therapy.The electric calendar can be useful for older people with mild dementia or mild cognitive impairment, having difficulties activities of daily living, supported by caregivers at regular intervals.

A Study on Evaluations of Living Spaces by Caregivers for Elderly People.

Caregivers who provide nursing-care visits to the elderly learn to notice changes in the physical and mental functions of residents by looking for signs of disorder in living spaces and changes in the orderliness of living spaces. In this research, to understand what draws caregiver attention and how they evaluate them, 15 caregivers are interviewed and asked to evaluate images of 33 living spaces. The results show variances in evaluations concerning the degree of clutter of living spaces even among experienced caregivers, but that it is possible to classify the degree of clutter using a two-axis scale.

Design of a Behavior of Robot That Attracts the Interest of the Mildly Demented Elderly.

In this study, using the unexpected intervention overturning the interaction amount of the field and the mental model, an interaction of a robot system that enables sustained nonverbal communication with the mildly demented elderly was proposed and its effectiveness was shown in the group home of the mildly demented elderly.

Kinematic walking analysis on a new vehicle "Tread-Walk" with active velocity control of treadmill belt.

The importance on walking for health is growing in elder dominated society. We have been developing a new mobility "Tread-Walk 1 (TW-1)" controlled by walking movement. The device uses active treadmill velocity control, which allows the user to walk on the treadmill at any desired velocity. In this paper, the walking movements on the TW-1 were kinematically analyzed and compared with the walking movements on a traditional constant-velocity treadmill and on flat ground. The results showed that the walking pattern on the TW-1 was somewhat similar to that on a constant-velocity treadmill and on flat ground; however, the flexion angle of the hip joint and the dorsiflexion and plantaflexion angles of the ankle joint during TW-1 walking were larger. It also was shown that the foot applied a stronger kicking force to the belt at toe-off and the foot clearance on the TW-1 was larger than that on the constant-velocity treadmill and on flat ground. Therefore, the walking patterns in the swing and stance phase on the TW-1 are little different. However, the walking movements based on the TW-1 active belt control are valuable from the viewpoints of motion training.