What Is the Real-Life Experience of Older Adults on Smart Healthcare Technologies? An Exploratory Interview Study.

INTRODUCTION: Smart healthcare technologies (SHCTs) exhibit the great potential to support older Hong Kong adults with their health problems. Although there are various SHCTs in the Hong Kong market, and some adoption predictors have been proposed and investigated, little is known about older users' views on and real-life experiences with these technologies. This exploratory study examined the experiences, functional needs, and barriers of three kinds of SHCT (i.e., smart wearable devices, smart health monitors, and healthcare applications) with older adults in real life. METHODS: A convenience sampling method was applied to recruit twenty-two older adults from the Hong Kong community. The interview was designed in semi-structured and conducted in a face-to-face setting. The content analysis was used to summarize the older adults' functional needs and barriers in real life. RESULTS: We found older adults mainly applied SHCTs to address physical health, but there are few technological solutions for mental health in practice. There are four types of barriers in using SHCT. However, social support in Hong Kong community greatly helps reduce the barriers in technology use. Based on the findings, we discussed the possible solutions based on the social and technology perspective. CONCLUSION: Current technologies still could not fully address older adults' needs for healthy aging, and various barriers still hinder the actual adoption. By deeply understanding and considering the social context, technology innovation can facilitate the adoption of SHCT and promote a healthy aging society.

The Effectiveness of Digital Interactive Intervention on Reducing Older Adults' Depressive and Anxiety Symptoms: A Systematic Review and Meta-Analysis.

INTRODUCTION: Anxiety and depression are prevalent among older adults, and digital interactive interventions have shown promise in promoting their mental well-being. However, limited research has explored the effects of different types of digital interactive interventions across various devices on anxiety and depression in older adults with different health conditions. METHODS: A systematic literature review and meta-analysis were conducted using seven selected databases to identify relevant studies up to July 19, 2023. Two reviewers independently conducted study selection, data extraction, and quality appraisals. The risk of bias in the included studies was assessed using the Cochrane risk-of-bias tool. For the meta-analysis, the effect size was calculated as the standardized mean difference (SMD) using a random-effects model. RESULTS: A total of 20 randomized control trails involving 1,309 older adults fulfilled inclusion criteria. The meta-analysis results demonstrates that the digital interactive intervention technologies had a significance on depression (SMD = -0.656 s, 95% confidence interval [CI] = -0.992 to -0.380, p < 0.001) and anxiety (SMD = -0.381 s, 95% CI = -0.517 to -0.245, p < 0.001). Physical interactive interventions demonstrated a significant effect on depression and anxiety (SMD = -0.711 s, 95% CI = -1.102 to -0.319, p < 0.001) and (SMD = -0.573 s, 95% CI = -0.910 to -0.236, p = 0.001). Similarly, immersive interactive interventions also showed a significant effect on depression and anxiety (SMD = -0.699 s, 95% CI = -1.026 to -0.373, p < 0.001) and (SMD = -0.343 s, 95% CI = -0.493 to -0.194, p < 0.001). Additionally, in the internal medicine group, significant intervention effects were observed for depression (SMD = -0.388, 95% CI = -0.630 to -0.145, p = 0.002) and anxiety (SMD = -0.325, 95% CI = -0.481 to -0.169, p < 0.001). Similarly, in the neurocognitive disorders group, significant intervention effects were found for depression (SMD = -0.702, 95% CI = -0.991 to -0.413, p < 0.001) and anxiety (SMD = -0.790, 95% CI = -1.237 to -0.342, p = 0.001). CONCLUSION: The results indicated that various digital interactive devices, including physical and immersive interactive devices, have a positive impact on depression and anxiety among older adults. However, mobile games were not effective in addressing depression. Digital interactive technologies did not significantly influence anxiety intervention, except for elderly individuals undergoing surgical procedures. Nevertheless, these interventions effectively addressed depression and anxiety in older individuals with neurocognitive disorders, internal medical issues, and those without health issues.

Effectiveness of sensor-based interventions in improving gait and balance performance in older adults: systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Sensor-based interventions (SI) have been suggested as an alternative rehabilitation treatment to improve older adults' functional performance. However, the effectiveness of different sensor technologies in improving gait and balance remains unclear and requires further investigation. METHODS: Ten databases (Academic Search Premier; Cumulative Index to Nursing and Allied Health Literature, Complete; Cochrane Central Register of Controlled Trials; MEDLINE; PubMed; Web of Science; OpenDissertations; Open grey; ProQuest; and Grey literature report) were searched for relevant articles published up to December 20, 2022. Conventional functional assessments, including the Timed Up and Go (TUG) test, normal gait speed, Berg Balance Scale (BBS), 6-Minute Walk Test (6MWT), and Falling Efficacy Scale-International (FES-I), were used as the evaluation outcomes reflecting gait and balance performance. We first meta-analyzed the effectiveness of SI, which included optical sensors (OPTS), perception sensors (PCPS), and wearable sensors (WS), compared with control groups, which included non-treatment intervention (NTI) and traditional physical exercise intervention (TPEI). We further conducted sub-group analysis to compare the effectiveness of SI (OPTS, PCPS, and WS) with TPEI groups and compared each SI subtype with control (NTI and TPEI) and TPEI groups. RESULTS: We scanned 6255 articles and performed meta-analyses of 58 selected trials (sample size = 2713). The results showed that SI groups were significantly more effective than control or TPEI groups (p < 0.000) in improving gait and balance performance. The subgroup meta-analyses between OPTS groups and TPEI groups revealed clear statistically significant differences in effectiveness for TUG test (mean difference (MD) = - 0.681 s; p < 0.000), normal gait speed (MD = 4.244 cm/s; p < 0.000), BBS (MD = 2.325; p = 0.001), 6MWT (MD = 25.166 m; p < 0.000), and FES-I scores (MD = - 2.036; p = 0.036). PCPS groups also presented statistically significant differences with TPEI groups in gait and balance assessments for normal gait speed (MD = 4.382 cm/s; p = 0.034), BBS (MD = 1.874; p < 0.000), 6MWT (MD = 21.904 m; p < 0.000), and FES-I scores (MD = - 1.161; p < 0.000), except for the TUG test (MD = - 0.226 s; p = 0.106). There were no statistically significant differences in TUG test (MD = - 1.255 s; p = 0.101) or normal gait speed (MD = 6.682 cm/s; p = 0.109) between WS groups and control groups. CONCLUSIONS: SI with biofeedback has a positive effect on gait and balance improvement among a mixed population of older adults. Specifically, OPTS and PCPS groups were statistically better than TPEI groups at improving gait and balance performance, whereas only the group comparison in BBS and 6MWT can reach the minimal clinically important difference. Moreover, WS groups showed no statistically or clinically significant positive effect on gait and balance improvement compared with control groups. More studies are recommended to verify the effectiveness of specific SI. Research registration PROSPERO platform: CRD42022362817. Registered on 7/10/2022.

When Trustworthiness Meets Face: Facial Design for Social Robots.

As a technical application in artificial intelligence, a social robot is one of the branches of robotic studies that emphasizes socially communicating and interacting with human beings. Although both robot and behavior research have realized the significance of social robot design for its market success and related emotional benefit to users, the specific design of the eye and mouth shape of a social robot in eliciting trustworthiness has received only limited attention. In order to address this research gap, our study conducted a 2 (eye shape) × 3 (mouth shape) full factorial between-subject experiment. A total of 211 participants were recruited and randomly assigned to the six scenarios in the study. After exposure to the stimuli, perceived trustworthiness and robot attitude were measured accordingly. The results showed that round eyes (vs. narrow eyes) and an upturned-shape mouth or neutral mouth (vs. downturned-shape mouth) for social robots could significantly improve people's trustworthiness and attitude towards social robots. The effect of eye and mouth shape on robot attitude are all mediated by the perceived trustworthiness. Trustworthy human facial features could be applied to the robot's face, eliciting a similar trustworthiness perception and attitude. In addition to empirical contributions to HRI, this finding could shed light on the design practice for a trustworthy-looking social robot.

3D human ear modelling with parameterization technique and variation analysis.

Anthropometry is vital to provide design references when seeking proper product fit. Nowadays, 3D anthropometry is widely used to provide more size and shape details for improving product designs. However, 3D ear anthropometry is still at an explorative stage, considering the complex ear morphology and other technical obstacles. The proposed research method in this study is applicable to analyse the 3D point cloud of the entire external ear. With the cross-parameterisation technique, the dataset was used to explore the morphological characteristics of the ear. Ear dimensions were automatically extracted and further analysed to explore the gender and symmetry differences using two-way ANOVA. The 3D ear models were investigated through Principal Component Analysis (PCA). The most significant variation was found in the helix and concha region, and the overall ear size is the second important factor determining ear variance. The statistical models were generated as 3D design references for ear-related products.Practitioner summary: This study revealed the morphological variations of the entire 3D external ear with a parameterised 3D ear dataset. Based on the PCA findings, a set of statistical models were generated as design references for product evaluation digitally or physically.

The Influence of Anthropomorphic Cues on Patients' Perceived Anthropomorphism, Social Presence, Trust Building, and Acceptance of Health Care Conversational Agents: Within-Subject Web-Based Experiment.

BACKGROUND: The last decade has witnessed the rapid development of health care conversational agents (CAs); however, there are still great challenges in making health care CAs trustworthy and acceptable to patients. OBJECTIVE: Focusing on intelligent guidance CAs, a type of health care CA for web-based patient triage, this study aims to investigate how anthropomorphic cues influence patients' perceived anthropomorphism and social presence of such CAs and evaluate how these perceptions facilitate their trust-building process and acceptance behavior. METHODS: To test the research hypotheses, the video vignette methodology was used to evaluate patients' perceptions and acceptance of various intelligent guidance CAs. The anthropomorphic cues of CAs were manipulated in a 3×2 within-subject factorial experiment with 103 participants, with the factors of agent appearance (high, medium, and low anthropomorphic levels) and verbal cues (humanlike and machine-like verbal cues) as the within-subject variables. RESULTS: The 2-way repeated measures ANOVA analysis indicated that the higher anthropomorphic level of agent appearance significantly increased mindful anthropomorphism (high level>medium level: 4.57 vs 4.27; P=.01; high level>low level: 4.57 vs 4.04; P<.001; medium level>low level: 4.27 vs 4.04; P=.04), mindless anthropomorphism (high level>medium level: 5.39 vs 5.01; P<.001; high level>low level: 5.39 vs 4.85; P<.001), and social presence (high level>medium level: 5.19 vs 4.83; P<.001; high level>low level: 5.19 vs 4.72; P<.001), and the higher anthropomorphic level of verbal cues significantly increased mindful anthropomorphism (4.83 vs 3.76; P<.001), mindless anthropomorphism (5.60 vs 4.57; P<.001), and social presence (5.41 vs 4.41; P<.001). Meanwhile, a significant interaction between agent appearance and verbal cues (.004) was revealed. Second, the partial least squares results indicated that privacy concerns were negatively influenced by social presence (ß=-.375; t312=4.494) and mindful anthropomorphism (ß=-.112; t312=1.970). Privacy concerns (ß=-.273; t312=9.558), social presence (ß=.265; t312=4.314), and mindless anthropomorphism (ß=.405; t312=7.145) predicted the trust in CAs, which further promoted the intention to disclose information (ß=.675; t312=21.163), the intention to continuously use CAs (ß=.190; t312=4.874), and satisfaction (ß=.818; t312=46.783). CONCLUSIONS: The findings show that a high anthropomorphic level of agent appearance and verbal cues could improve the perceptions of mindful anthropomorphism and mindless anthropomorphism as well as social presence. Furthermore, mindless anthropomorphism and social presence significantly promoted patients' trust in CAs, and mindful anthropomorphism and social presence decreased privacy concerns. It is also worth noting that trust was an important antecedent and determinant of patients' acceptance of CAs, including their satisfaction, intention to disclose information, and intention to continuously use CAs.

Effectiveness of exergaming-based interventions for mobility and balance performance in older adults with Parkinson's disease: systematic review and meta-analysis of randomised controlled trials.

BACKGROUND: exergaming-based interventions (EbIs) have been proposed to improve older adults' mobility and balance performance. However, the effectiveness of such interventions for older adults with Parkinson's disease (OAPD) remains unclear. METHODS: seven databases (Web of Science, Medline, Academic Search Premier, CINAHL Complete, PsycINFO, PsychARTICLE and PubMed) were searched up to 7 April 2022. We assessed mobility and balance performance between EbIs groups and control groups or traditional physical training interventions (TPTIs) groups by comparing the outcomes of the Timed Up and Go (TUG), 6-Minute Walk Test (6MWT), Berg Balance Scale (BBS), gait velocity, stride length and Functional Gait Assessment (FGA). RESULTS: we scanned 1,190 articles and meta-analysed 19 trials (sample size = 781). In general, the results revealed statistical differences between EbIs groups and TPTIs groups in the TUG [mean difference (MD) = -1.030 s; 95% confidence interval (CI) = -2.029 to -0.031; P = 0.043; high quality of evidence], 6MWT (MD = 63.483 m; 95% CI = 9.542 to 117.425; P = 0.021; moderate quality of evidence), BBS (MD = 2.129; 95% CI = -1.293 to 2.965; P < 0.001; high quality of evidence) and FGA (MD = 2.099 95% CI = -0.306 to 3.893; P = 0.022; moderate quality of evidence). No significant difference was discovered between EbIs groups and TPTIs groups in enhancing gait velocity and stride length. CONCLUSIONS: EbIs are statistically better than TPTIs in improving OAPD's performance in TUG, 6MWT, BBS and FGA, whereas only the change between EbIs and TPTIs in 6MWT can reach the value of minimal clinically important difference. Further studies are needed to better assess the effectiveness of exergaming-based interventions.

Measurement of soft tissue deformation at discomfort and pain threshold in different regions of the head.

Understanding of product-soft tissue interface and related discomfort is essential while designing wearable devices. Although pressure thresholds at the perception of discomfort and pain have been measured in the past, associated tissue deformation is yet to be studied. This data can provide a holistic understanding of user discomfort and be a valuable reference for ergonomic product design. Hence, in the current study, tissue deformation at discomfort and pain threshold was measured using an ultrasound indentation device at 18 landmarks for 83 Chinese adults on the head and face. Results show that deformation was higher in the facial region than the scalp and forehead, with maximum deformation in the cheek area and minimum in the forehead region for both thresholds. Also, for most landmarks, the tissue deformation data showed no significant relationship with age and Body Mass Index (BMI). Nearly half of the landmarks exhibited significant gender-based differences. Overall, the measured data showed acceptable within-session and between-session reliability. Practitioner Summary: In this study, tissue deformation was measured in different head regions for discomfort and pain thresholds, and corresponding deformation maps were developed. Measured tissue deformation data showed no significant relationship with BMI and age. This data can be a useful reference in the design, testing, and evaluation of headgears.

Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design.

As an emerging artificial intelligence system, social robot could socially communicate and interact with human beings. Although this area is attracting more and more attention, limited research has tried to systematically summarize potential features that could improve facial anthropomorphic trustworthiness for social robot. Based on the literature from human facial perception, product, and robot face evaluation, this paper systematically reviews, evaluates, and summarizes static facial features, dynamic features, their combinations, and related emotional expressions, shedding light on further exploration of facial anthropomorphic trustworthiness for social robot design.

Wayfinding Information Syntheses: A Study of Wayfinding Efficiency and Behavior in Complex Outdoor Institutional Environment.

OBJECTIVE: This research aims to investigate the effectiveness of wayfinding information (destination reference images) in real-time complex environmental settings through the syntheses of mobile and static information sources. This investigation will help in improving the wayfinding information design for complex institutional environments which will enhance the environmental legibility. BACKGROUND: Complex environments are challenging for wayfinding efficiency. Identification of the location and orientation are considered to be important for wayfinding efficiency. This study investigated the user behavior in synthesizing the wayfinding information for identifying the users' location and orientation in a complex environment. METHOD: Twenty-five university students have participated in the desktop-based virtual reality experiment. Five experimental conditions were developed for the assessment of wayfinding efficiency and users' preferred information sources. RESULTS: Reference images of destinations with user-matched angles were found more effective than the building's facade images. Participants synthesized the mobile wayfinding information with real environmental information to identify their location and orientation. Real environment information (road intersections and shape of the road) and mobile information (reference images of building facades) were found influential in the identification of the user's location and orientation. CONCLUSIONS: The study suggested a need for thorough investigation regarding the users' wayfinding behavior with different types of environmental information. Future studies have been recommended to investigate other complex institutional environments with larger sample groups for enhancing environmental legibility and institutional efficiency.

In robot we trust? The effect of emotional expressions and contextual cues on anthropomorphic trustworthiness.

Following the evolution of technology and its application in various daily contexts, social robots work as an advanced artificial intelligence (AI) system to interact with humans. However, limited research has been done to discuss the role of emotional expressions and contextual cues in influencing anthropomorphic trustworthiness, especially from the design perspective. To address this research gap, the current study designed a specific robot prototype and conducted two lab experiments to explore the effect of emotional expressions and contextual cues on trustworthiness via a combination of subjective ratings and physiological measures. Results showed that: 1) positive (vs. negative) emotional expressions enjoyed a higher level of anthropomorphic trustworthiness and visual attention; 2) regulatory fit was expanded in parasocial interaction and worked as a prime to activate anthropomorphic trustworthiness for social robots. Theoretical contributions and design implications were also discussed in this study.

Facial Anthropomorphic Trustworthiness Scale for Social Robots: A Hybrid Approach.

Social robots serve as autonomous systems for performing social behaviors and assuming social roles. However, there is a lack of research focusing on the specific measurement of facial trustworthiness toward anthropomorphic robots, particularly during initial interactions. To address this research gap, a hybrid deep convolution approach was employed in this study, involving a crowdsourcing platform for data collection and deep convolution and factor analysis for data processing. The goal was to develop a scale, called Facial Anthropomorphic Trustworthiness towards Social Robots (FATSR-17), to measure the trustworthiness of a robot's facial appearance. The final measurement scale comprised four dimensions, "ethics concern", "capability", "positive affect", and "anthropomorphism", consisting of 17 items. An iterative examination and a refinement process were conducted to ensure the scale's reliability and validity. The study contributes to the field of robot design by providing designers with a structured toolkit to create robots that appear trustworthy to users.

Modeling 3D geometric growth patterns and variations of Children's heads.

To design high-quality head/face-related products for children, it is essential to be able to construct 3D geometric models of their head growth patterns and variations. However, compared to 3D anthropometric analysis of adults' heads, this is still an underexplored research area. This study developed a framework for modeling the 3D geometric growth patterns and sex-specific variations of children's heads. To analyze these variations, the entire heads of 793 children (395 females and 398 males) ages 5-17 were scanned, and one global and two sex-specific statistical shape models (SSMs) were constructed. The first principal component in these SSMs, contributing more than 65% to the total explained variations, was highly related to overall head sizes. To model growth patterns, expected average heads for different ages and per-vertex growth rates were computed. Our results showed that the entire female head basically reaches its mature size at age 13-14, whereas in males it continues to increase until age 16-17. This study therefore provides valuable references for children's head/face-related product design, including the development of a more accurate sizing system and improvements in product fit and function.

A 3D anthropometry-based quantified comfort model for children's eyeglasses design.

Modeling the quantified relationships between anthropometric/product parameters and human perceptions provides research-driven guidelines for mass customization and personalization of ergonomic products. In particular, such models are critical for designing children's eyeglasses; however, they are still underexplored. This study examined children's comfort perceptions for eyeglasses with two variables (i.e., nose pads width and temple clamping force), and established quantified linkage models between subjective human perceptions and objective 3D anthropometric/product parameters. To the best of our knowledge, this is the first work to quantify these relationships for ergonomic eyeglasses design. A psychological experiment with thirty child participants was performed, and our analyses showed that two eyeglasses variables significantly influenced the children's comfort perceptions; static vs. dynamic conditions caused slight differences. The mathematical trendlines and trend surfaces established by our findings can estimate perceived component-specific and overall comfort scores based on 3D anthropometric/product parameters. This also allows for calculation of parameter's allowances for sizing and grading eyeglasses while maintaining satisfactory comfort.

MeshWGAN: Mesh-to-Mesh Wasserstein GAN With Multi-Task Gradient Penalty for 3D Facial Geometric Age Transformation.

As the metaverse develops rapidly, 3D facial age transformation is attracting increasing attention, which may bring many potential benefits to a wide variety of users, e.g., 3D aging figures creation, 3D facial data augmentation and editing. Compared with 2D methods, 3D face aging is an underexplored problem. To fill this gap, we propose a new mesh-to-mesh Wasserstein generative adversarial network (MeshWGAN) with a multi-task gradient penalty to model a continuous bi-directional 3D facial geometric aging process. To the best of our knowledge, this is the first architecture to achieve 3D facial geometric age transformation via real 3D scans. As previous image-to-image translation methods cannot be directly applied to the 3D facial mesh, which is totally different from 2D images, we built a mesh encoder, decoder, and multi-task discriminator to facilitate mesh-to-mesh transformations. To mitigate the lack of 3D datasets containing children's faces, we collected scans from 765 subjects aged 5-17 in combination with existing 3D face databases, which provided a large training dataset. Experiments have shown that our architecture can predict 3D facial aging geometries with better identity preservation and age closeness compared to 3D trivial baselines. We also demonstrated the advantages of our approach via various 3D face-related graphics applications. Our project will be publicly available at: https://github.com/Easy-Shu/MeshWGAN.

Comfort and fit perception based on 3D anthropometry for ear-related product design.

Anthropometry and human perception lie at the core of the ergonomic design process. Until now, relevant studies have been quite restricted, being unable to provide a holistic view of the perceived comfort and fit for ear-related products. The study examined the perceived comfort and fit using factor analysis and established a linkage between anthropometry and human perception for design uses. A total of 30 participants (15 male, 15 female) were recruited in the within-subject experiment. The results showed that ear symmetry, gender, concha length, and cavum concha width had either insignificant or weak correlation with the perception scores. Use condition and product size significantly influenced the perceived comfort and fit for ear-related products. Users preferred a larger product size in the dynamic condition than in the static condition. Moreover, the study proposed a novel method to quantify the relationship between anthropometric data and human perception for the ear-related product. For an in-the-ear product, trendlines were generated to link the product size based on 3D anthropometry with the comfort and fit scores.

Contributions of individual muscle forces to hip, knee, and ankle contact forces during the stance phase of running: a model-based study.

Knowledge of muscle forces' contributions to the joint contact forces can assist in the evaluation of muscle function, joint injury prevention, treatment of gait disorders, and arthroplasty planning. This study's objective was to evaluate the contributions of human lower limb muscles to the hip, knee, and ankle joint contact forces during the stance phase of running. A total of 25 muscles (or groups) were investigated based on the OpenSim framework along the anterior-posterior, superoinferior, and mediolateral components of each joint coordinate system. It was revealed that, during the running stance phase, the gluteus medius, gluteus maximus, and iliopsoas mainly contributed to the hip contact force. The soleus, vastus group, and rectus femoris primarily contributed to the knee contact force, while the peroneus, soleus, gluteus medius, and gastrocnemius mainly contributed to the ankle joint force; some muscles simultaneously offloaded the joints during the stance phase. The distributive pattern of the individual muscle functions contributing to the joint load may substantially differ during the running and walking stance phases. This study's findings may further provide suggestive information for the design of lower limb joint prosthesis, the study of the biomechanics of pathologic walking and running, and the progression of joint osteoarthritis.

The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors.

Mobile medical platforms (MMPs) can make medical services more accessible and effective. However, the patient-centered factors that influence patients' acceptance of MMPs are not well understood. Our study examined the factors affecting patients' acceptance of MMPs by integrating the theory of planned behavior (TPB), the technology acceptance model (TAM), and three patient-centered factors (i.e., perceived convenience, perceived credibility, and perceived privacy risk). Three hundred and eighty-nine Chinese respondents were recruited in this study and completed a self-administered online questionnaire that included items adapted from validated measurement scales. The partial least squares structural equation modeling results revealed that perceived privacy risk, perceived credibility, and perceived ease of use directly determined the perceived usefulness of an MMP. Perceived convenience, perceived credibility, and perceived usefulness significantly affected the patients' attitudes toward MMPs. Perceived usefulness, attitude, perceived privacy risk, and perceived behavioral control were important determinants of the patients' behavioral intentions to use MMPs. Behavioral intention and perceived behavioral control significantly influenced perceived effective use. Perceived credibility and perceived ease of use significantly affected perceived convenience. However, social influence had no significant effect on attitude and behavioral intention. The study provides important theoretical and practical implications, which could help practitioners enhance the patients' use of MMPs for their healthcare activities.

Assessment of pressure sensitivity in the head region for Chinese adults.

Measurement of pressure threshold has found its applications in the fields of medical sciences and product design. Hence it has been a profound area of research interest for several decades. However, hardly any detailed investigation has been undertaken to measure the pressure threshold in the head region. In this study, Pressure Discomfort Threshold (PDT) and Pressure Pain Threshold (PPT) were measured for two hundred eighteen healthy Chinese adults at seventy-six anatomical locations, and further statistical analyses were performed on the acquired data to understand the relationship between different demographic parameters. The results suggest that the pressure sensitivity is low in the vertex region, moderate in the forehead and temporal area, and high in the facial and nasal region. From this study, pressure sensitivity maps were developed for PDT and PPT for Chinese adults. The measured pressure threshold data showed no significant relationship with age and Body Mass Index (BMI).

The effect of facial features on facial anthropomorphic trustworthiness in social robots.

As the nature of human-robot relationships have become increasingly bound to shift from supervisor-machine to friend-companion, people have exhibited an increasing interest in making social judgments toward such anthropomorphic objects, such as trustworthiness. However, the facial features of social robots and their potential effect on anthropomorphic trustworthiness are seldom analyzed and discussed comprehensively. This study examined whether the trustworthiness perception toward a social robot shared similarity with baby schema features on the human face. It also explored the effects of different combinations of baby schema facial features, especially the positions and sizes of the eyes and mouth, on facial anthropomorphic trustworthiness. A 5-way mixed experiment (N = 270) was conducted accordingly. The results indicated that people would experience a high level of facial anthropomorphic trustworthiness toward robots with baby schema features (i.e., large eyes, with medium vertical and horizontal positions of the eyes and mouth). This paper contributes to the literature on facial anthropomorphic trustworthiness in human-robot interaction and provides suggestions for social robot design.