False feedback about sleep delivered via actigraphy biases daytime symptom reports: implications for insomnia disorder and wearable devices

2017 ◽  
Vol 40 ◽  
pp. e109
Author(s):  
D. Gavriloff ◽  
B. Sheaves ◽  
A. Juss ◽  
S. Kyle
Keyword(s):  
Wearable Devices ◽  
False Feedback ◽  
Insomnia Disorder ◽  
Symptom Reports ◽  
Daytime Symptom

scholarly journals Sham sleep feedback delivered via actigraphy biases daytime symptom reports in people with insomnia: Implications for insomnia disorder and wearable devices

2018 ◽  
Vol 27 (6) ◽  
pp. e12726 ◽  
Author(s):  
Dimitri Gavriloff ◽  
Bryony Sheaves ◽  
Amender Juss ◽  
Colin A. Espie ◽  
Christopher B. Miller ◽  
...  
Keyword(s):  
Wearable Devices ◽  
Insomnia Disorder ◽  
Symptom Reports ◽  
Daytime Symptom

I Like Her, Because I Like Myself: Self-Evaluation as a Source of Interpersonal Attitudes

2003 ◽  
Vol 50 (4) ◽  
pp. 239-246 ◽  
Author(s):  
Eva Walther ◽  
Claudia Trasselli
Keyword(s):  
Opposite Effect ◽  
Learning Phase ◽  
The Self ◽  
Attitude Formation ◽  
Formation Processes ◽  
False Feedback ◽  
Self Evaluation ◽  
Evaluation Group ◽  
Group A ◽  
The Difference

Abstract. Two experiments tested the hypothesis that self-evaluation can serve as a source of interpersonal attitudes. In the first study, self-evaluation was manipulated by means of false feedback. A subsequent learning phase demonstrated that the co-occurrence of the self with another individual influenced the evaluation of this previously neutral target. Whereas evaluative self-target similarity increased under conditions of negative self-evaluation, an opposite effect emerged in the positive self-evaluation group. A second study replicated these findings and showed that the difference between positive and negative self-evaluation conditions disappeared when a load manipulation was applied. The implications of self-evaluation for attitude formation processes are discussed.

The Effect of False Feedback on Performance Expectation

1999 ◽  
Author(s):  
Richard Kratzner ◽  
Angi Mayes ◽  
Amanda Pirino
Keyword(s):  
False Feedback ◽  
Performance Expectation

Symptom Validity Performance and Symptom Reports in Patients With Fibromyalgia

2012 ◽  
Author(s):  
Doug Johnson-Greene ◽  
Larry Brooks ◽  
Tamar Ference
Keyword(s):  
Symptom Validity ◽  
Symptom Reports

Smart technology-assisted Home Nursing Care Program for Persons with Dementia or Hip Fracture: Implementation Difficulties: Thematic Analysis (Preprint)

2020 ◽  
Author(s):  
Yea-Ing Shyu ◽  
Chung-Chih Lin ◽  
Ching-Tzu Yang ◽  
Pei-Ling Su ◽  
Jung-Ling Hsu
Keyword(s):  
Hip Fracture ◽  
Family Caregivers ◽  
Nursing Care ◽  
Care Program ◽  
Wearable Devices ◽  
Elderly Persons ◽  
Home Nursing ◽  
Smart Technology ◽  
Smart Clothing ◽  
Home Nursing Care

BACKGROUND Wearable devices have been developed and implemented to improve data collection in remote health care and smart care. Wearable devices have the advantage of always being with individuals, enabling easy detection of their movements. In this study, we developed and implemented a smart-care system using smart clothing for persons with dementia and with hip fracture. We conducted a preliminary study to understand family caregivers’ and care receivers’ experiences of receiving a smart technology-assisted (STA) home-nursing care program. OBJECTIVE This paper reports the difficulties we encountered and strategies we developed during the feasibility phase of studies on the effectiveness of our STA home-nursing care program for persons with dementia and hip fracture. METHODS Our care model, a STA home-nursing care program for persons with dementia and those with hip fracture included a remote-monitoring system for elderly persons wearing smart clothing was used to facilitate family caregivers’ detection of elderly persons’ movements. These movements included getting up at night, staying in the bathroom for more than 30 minutes, not moving more than 2 hours during the day, leaving the house, and daily activities. Participants included 13 families with 5 patients with hip fracture and 7 with dementia. Research nurses documented the difficulties they encountered during the process. RESULTS Difficulties encountered in this smart-care study were categorized into problems setting up the smart-care environment, problems running the system, and problems with participant acceptance/adherence. These difficulties caused participants to drop out, the system to not function or delayed function, inability to collect data, extra costs of manpower, and financial burden. Strategies to deal with these problems are also reported. CONCLUSIONS During the implementation of smart care at home for persons with dementia or hip fracture, different aspects of difficulties were found and strategies were taken. The findings of this study can provide a reference for future implementation of similar smart-home devices.

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