APPENDIX A: RAW DATA COLLECTED FROM SELECTED STUDIES

APPENDIX A: RAW DATA COLLECTED FROM SELECTED STUDIE

Age-Related Changes in Attention During Motor Learning

Theories of motor learning predict that humans require high levels of attention to perform new motor tasks, but little to no attention for those that are well-learned. Thus, practicing a task may decrease the amount of attention required to perform it. To test this theoretical relationship between attention and task practice, we used a physiological proxy for attention known as electrodermal activity (EDA). We hypothesized that 1) EDA (proxy for attention) would decrease over the course of training and that 2) attention would be higher overall in older adults than in younger adults when performing the same task. This second hypothesis was based on the tendency for older adults to require more attention than younger adults during a given motor task. Two groups of participants (young adult- n=S; mean± SD age=22.4 ± 2.1 yrs vs. older adult- n=S; age=75.8 ± 5.2 yrs) practiced 150 trials of a novel upper extremity task over three days. During each trial, we measured 1) task performance, defined as movement time (seconds, ors) and 2) EDA (μSiemens, or μS) using wrist-worn sensors. Contrary to our first hypothesis, EDA increased with practice, suggesting that additional training may be necessary to reduce the task\u27 s attentional requirements. Results did, however, support our second hypothesis, with higher EDA in older adults compared to younger adults throughout practice. This suggests that older adults may use more attention than younger adults to perform a given task in order to compensate for other age-related declines in sensorimotor function

Cognitive Experiments and Features for Computing Mental Stress

In this paper, mental stress is computed through cognitive experiments that induce stress. In a controlled laboratory environment, a group of students are involved in a series of mental challenges. While performing the cognitive tasks, stress is induced on the participants. Deep breathing exercise is performed in the start of experiments and then in between each activity to make the conditions normal and a participant feels relaxed. Various physiological features are recorded during experimental activities. Also, cerebral features are recorded that provide improved classification results. The severity of stress is different on each participant but the purpose of experimental protocol is to separate stressful conditions from relaxed environment. Support Vector machine (SVM) is used to identify relax or normal class from a number of stressed classes. It is shown that cerebral features improve the classification accuracy with a satisfactory margin and designed protocol system is able to compute the severity of induced stress

The effect of the Reaset Approach on the autonomic nervous system, state-trait anxiety and musculoskeletal pain in patients with work-related stress: A pilot study

Background: Work-related stress (WRS) is associated with musculoskeletal pain (MSP), changes in the autonomic nervous system (ANS) and anxiety. Objective: To determine the feasibility of a follow-up study and treatment efficacy of the Reaset Approach on MSP, ANS and State-Trait anxiety. Methods: 15 subjects with WRS and MSP were assigned into 3 groups (Body, Head-Neck, Head-Neck-Body). Each group received a single 25 minute ‘Reaset Approach’ intervention. Heart rate variability (HRV), electro-dermal activity (EDA), State Trait Anxiety (STAI) and MSP were measured. Results: HRV parameters: SDNN increased in 13 of 15 subjects while SD1 and SD2 increased in 12 of 15 subjects. EDA reduced in 10 of 14 subjects. State Anxiety reduced in all subjects and Trait Anxiety reduced in 14 of 15 subjects. MSP reduced in all subjects after the intervention and were still lower three days afterwards. Conclusions: This pilot study determined that a follow-up study can ensue provided minor modifications are implemented and that the ‘Reaset Approach’ has an influence on the ANS, anxiety and MSP. Results do differ between groups. The intervention groups including the head and neck modalities demonstrated better results.:I. Abstract (En) III II. Abstract (De) IV III. Table of Contents V IV. Index of figures VIII V. Index of tables IX VI. Index of abbreviations X 1 Introduction 1 2 Background 2 2.1 Work-related musculoskeletal pain 2 2.2 Work-related stress 3 2.3 Osteopathy and the autonomic nervous system 3 2.4 Stress, pain and osteopathy 4 3 Questions 6 3.1 Feasibility 6 3.2 Treatment effect 6 4 Methods 7 4.1 Study design 7 4.2 Participants 8 4.2.1 Inclusion criteria 8 4.2.2 Exclusion criteria 8 4.2.3 Recruitment 8 4.2.4 Randomization 10 4.3 Parameters 11 4.3.1 Heart rate variability 11 4.3.2 Electro-dermal activity 11 4.3.3 State anxiety 11 4.3.4 Trait anxiety 12 4.3.5 Perceived pain 12 4.4 Measuring Instruments 13 4.4.1 Heart rate variability 13 4.4.2 Electro-dermal Activity 13 4.4.3 State-Trait Anxiety Inventory 13 4.4.4 Short-Form McGill Pain Questionnaire 13 4.5 Interventions 14 4.5.1 Intervention ‘B’: Body 14 4.5.2 Intervention ‘HN’: Head and Neck 16 4.5.3 Intervention ‘HNB’: Head, Neck and Body 16 4.6 Study flow 18 4.7 Statistics 20 5 Results 21 5.1 Autonomic nervous system: Heart rate variability 21 5.1.1 SDNN 22 5.1.2 SD1 25 5.1.3 SD2 28 5.2 Autonomic Nervous System: Electro-dermal activity 31 5.3 Anxiety 34 5.3.1 State anxiety 34 5.3.2 Trait anxiety 37 5.4 Musculoskeletal pain 39 5.4.1 Visual analogue scale 40 5.4.2 Total Short-Form McGill Pain Questionnaire 43 6 Discussion 46 6.1 Discussion of the method 46 6.2 Discussion of the results 50 6.2.1 Autonomic nervous system 50 6.2.1.1 Heart rate variability 50 6.2.1.2 Electro-dermal activity 51 6.2.2 Anxiety 51 6.2.2.1 State anxiety 51 6.2.2.2 Trait Anxiety 52 6.2.3 Musculoskeletal pain 52 6.3 Suggestions for future research 53 7 Conclusion 54 8 Literature 55 9 Addendum 63 9.1 Table: SF-MPQ with Sensory, Affective and Evaluative dimension 63 9.2 Patient Information Sheet 64 9.3 Structured telephone interview 70 9.4 Structured pre-treatment interview 72 9.5 SF-MPQ permission 73 9.6 SF-MPQ 74 9.7 STAI License 76 9.8 STAI forms Y-1 and Y-2 77Hintergrund: Arbeitsbedingter Stress (ABS) ist verbunden mit muskelschmerzen, Veränderungen im autonomen Nervensystem (ANS) und Angst. Ziel: Machbarkeit einer Follow-up-Studie und Wirksamkeit der Behandlung des Reaset Ansatzes auf ANS, Muskelschmerzen und State und Trait- Angst bestimmen. Methoden: 15 Patienten mit ABS und Muskelschmerzen wurden in 3 Gruppen eingeteilt (Körper, Kopf-Hals, Kopf-Hals-Körper). Jede Gruppe erhielt eine einzige 25 Minuten dauernde 'Reaset Approach’-Behandlung. Herzfrequenzvariabilität (HRV), elektro-dermale Aktivität (EDA), State-Trait-Angstsinventar (STAI) und Muskelschmerzen (SF-MPQ) wurden gemessen. Ergebnisse: Die HRV-wert: SDNN ist bei 13 von 15 Probanden erhöht, während SD1 und SD2 bei 12 von 15 Probanden zugenommen hat. EDA war bei 10 von 14 Probanden reduziert. Die State-Angst hat bei allen Probanden und die Trait-Angst bei 14 der 15 Probanden abgenommen. Muskelschmerzen waren bei alle Probanden anschließend an und drei Tage nach der Intervention reduziert. Schlussfolgerung: Diese Pilotstudie hat gezeigt, dass eine Follow-up-Studie fortgesetzt werden kann, sofern kleinere Änderungen durchgeführt werden. Die 'Reaset Approach’ hat einen günstigen Einfluss auf die ANS, State-Trait-Angst und Muskelschmerzen. Ergebnisse zwischen den Gruppen sind unterschiedlich. Die Interventionsgruppen mit einschließlich der Kopf-Hals-Modalitäten zeigten bessere Ergebnisse..:I. Abstract (En) III II. Abstract (De) IV III. Table of Contents V IV. Index of figures VIII V. Index of tables IX VI. Index of abbreviations X 1 Introduction 1 2 Background 2 2.1 Work-related musculoskeletal pain 2 2.2 Work-related stress 3 2.3 Osteopathy and the autonomic nervous system 3 2.4 Stress, pain and osteopathy 4 3 Questions 6 3.1 Feasibility 6 3.2 Treatment effect 6 4 Methods 7 4.1 Study design 7 4.2 Participants 8 4.2.1 Inclusion criteria 8 4.2.2 Exclusion criteria 8 4.2.3 Recruitment 8 4.2.4 Randomization 10 4.3 Parameters 11 4.3.1 Heart rate variability 11 4.3.2 Electro-dermal activity 11 4.3.3 State anxiety 11 4.3.4 Trait anxiety 12 4.3.5 Perceived pain 12 4.4 Measuring Instruments 13 4.4.1 Heart rate variability 13 4.4.2 Electro-dermal Activity 13 4.4.3 State-Trait Anxiety Inventory 13 4.4.4 Short-Form McGill Pain Questionnaire 13 4.5 Interventions 14 4.5.1 Intervention ‘B’: Body 14 4.5.2 Intervention ‘HN’: Head and Neck 16 4.5.3 Intervention ‘HNB’: Head, Neck and Body 16 4.6 Study flow 18 4.7 Statistics 20 5 Results 21 5.1 Autonomic nervous system: Heart rate variability 21 5.1.1 SDNN 22 5.1.2 SD1 25 5.1.3 SD2 28 5.2 Autonomic Nervous System: Electro-dermal activity 31 5.3 Anxiety 34 5.3.1 State anxiety 34 5.3.2 Trait anxiety 37 5.4 Musculoskeletal pain 39 5.4.1 Visual analogue scale 40 5.4.2 Total Short-Form McGill Pain Questionnaire 43 6 Discussion 46 6.1 Discussion of the method 46 6.2 Discussion of the results 50 6.2.1 Autonomic nervous system 50 6.2.1.1 Heart rate variability 50 6.2.1.2 Electro-dermal activity 51 6.2.2 Anxiety 51 6.2.2.1 State anxiety 51 6.2.2.2 Trait Anxiety 52 6.2.3 Musculoskeletal pain 52 6.3 Suggestions for future research 53 7 Conclusion 54 8 Literature 55 9 Addendum 63 9.1 Table: SF-MPQ with Sensory, Affective and Evaluative dimension 63 9.2 Patient Information Sheet 64 9.3 Structured telephone interview 70 9.4 Structured pre-treatment interview 72 9.5 SF-MPQ permission 73 9.6 SF-MPQ 74 9.7 STAI License 76 9.8 STAI forms Y-1 and Y-2 7

Crowding Density in Urban Environment and its Effects on Emotional Responding of Pedestrians: Using Wearable Device Technology with Sensors Capturing Proximity as well as Psychophysiological Emotion Responses while Walking in the Street

Worldwide urbanization in many areas leads to very high urban density living conditions, for example, in Hong Kong, there are about 40,000 people per km2 (Berlin: 4000 p/km2). Tost (2015) pointed out, mental health is impaired by two main features of high density urban environment: 1. high socio-spatial complexity and heterogeneity. 2. shortening social distance and invasion to personal space. Indeed, the empirical findings on mental load effects mainly are based on aggregate level analyses. However little is known about how high density environment with large crowding in street canyon is affecting individuals in their actual emotional responses and to what extent facilities like parks and open spaces can have a restorative counterbalance to stress experiences. Two theoretical approach are relevant for formulating specific hypothesis. 1. Prospect refuge theory (Appleton, 1984). It seeks to describe why certain environments feel secure and thereby meet basic human psychological needs. 2. Attention restorative theory (Kaplan 1995 , Ulrich 1991). It indicates that greening place would help people to recover from mental fatigue, as it could supply indirect attention resource. From this background, these research will be examined emipirically: 1. How high density urban environment is reflected in specific trajectories of casual crowd encounter and pace of walking and how does it correlate with stress perception and restorative need? 2. Does walking in a park nearby park compensate accumulated stress experience? Does park experience increase stress resilience in coping with high density urban experiences mentioned above? The sample is based on 30 students (age>18) studying and living in Hong Kong since no longer than 3 years. The study uses a within-subject and between-subject measurement design. Subjects were told to walk a selected route is in Tsim Sha Tsui of Hong Kong. The route contains of two parts: urban environment and Kowloon Park. Tsim Sha Tsui is a commerce center in Hong Kong with very high pedestrian density. There are two groups of subjects which will walk the same route but reversed walking sequence. Subject start at meeting point a and go through smartphone with specific tests and questionnaires. After walked one part of the route, they return to meeting point a and repeat it. This pre-post-measurement design is for the aim to guarantee sample homogeneity. At selected spots, there are questions need to be answered. When finished the walking, socio-demographic information will be collected. Continuous measurement of geo-position and casual people encounter is captured automatically by a wearable device combining GPS logging and ambient space cross movement detection by infra-red sensor. Besides adding knowledge to micro processes of high urban density effects on social casual encountering intervening with stress effects and their counterbalancing by park experience, the study will provide findings about reliability and validity of an integrated wearable devices which objectively and ctinuously measures crowd density and its covariation with psychophysiological emotion responses while walking in urban environment

A Smart Home Network for Proactive Users

According to the European Strategy Energy Technology (SET) Plan, the resident-user engagement into thenational energy strategy is pivotal, as reported by the Challenge 1st: “Active consumer is at the centre of the energy system”. The Italian Ministry of Economic Development and ENEA have entered into a Program Agreement for the execution of the research and development lines of General Interest for the NationalElectricity System. In particular, as part of the “Development of an integrated model of the Urban Smart District” project. An experimental demonstration of a Smart Home network is being carried out in the Centocelle district of Rome and called “Smart Home Centocelle”. The project was developed in an informal settlement, which shares a common background with likewise urban settings, such as a lack of public transportation convenience or enjoyable public spaces and average quality housing, whereas people who adhered to the project have a medium-high education level and proved to be sensitive to alternative and more sustainable energy sources. Our research has examined the deployment progress made so far, gathering and analysing all the information to assess how the project applications could affect various quality-of-life dimensions: safety, health, environmental quality and personal comfort perception, social connectedness and the cost of living, above all