scholarly journals Population Ageing and Socially Assistive Robots for Elderly Persons: The Importance of Sociodemographic Factors for User Acceptance

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Priska Flandorfer
Keyword(s):  
Sociodemographic Factors ◽  
User Acceptance ◽  
Population Ageing ◽  
Assistive Devices ◽  
Elderly Persons ◽  
Key Factors ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
Gender Education ◽  
Ageing Populations

Taking care of older adults is among the major challenges currently faced by ageing populations. Researchers, designers, and engineers have proposed socially assistive robots as one way of helping elderly people stay in their homes longer. In a systematic literature review, this paper wants to investigate if and how evaluations of the acceptance of socially assistive robots by older people take into account sociodemographic factors. The results indicate that this only holds true for a few studies. Research that incorporates age, gender, education, and so forth; clearly shows that these key factors have a significant impact. However, the relations are complex and experience with technology mitigates the influence of sociodemographic factors on acceptance. Assistive devices should be adaptable to individual needs to be able to consider all these factors.

scholarly journals Control Strategies and Artificial Intelligence in Rehabilitation Robotics

AI Magazine ◽  
2015 ◽  
Vol 36 (4) ◽  
pp. 23-33 ◽  
Author(s):  
Domen Novak ◽  
Robert Riener
Keyword(s):  
Artificial Intelligence ◽  
Control Strategies ◽  
Rehabilitation Robotics ◽  
Control Algorithms ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
Rehabilitation Robots ◽  
Exercise Adaptation ◽  
Dominant Paradigm ◽  
Do So

Rehabilitation robots physically support and guide a patient's limb during motor therapy, but require sophisticated control algorithms and artificial intelligence to do so. This article provides an overview of the state of the art in this area. It begins with the dominant paradigm of assistive control, from impedance-based cooperative controller through electromyography and intention estimation. It then covers challenge-based algorithms, which provide more difficult and complex tasks for the patient to perform through resistive control and error augmentation. Furthermore, it describes exercise adaptation algorithms that change the overall exercise intensity based on the patient's performance or physiological responses, as well as socially assistive robots that provide only verbal and visual guidance. The article concludes with a discussion of the current challenges in rehabilitation robot software: evaluating existing control strategies in a clinical setting as well as increasing the robot's autonomy using entirely new artificial intelligence techniques.

Socially Assistive Robots in Elderly Care: A Systematic Review into Effects and Effectiveness

2012 ◽  
Vol 13 (2) ◽  
pp. 114-120.e1 ◽  
Author(s):  
Roger Bemelmans ◽  
Gert Jan Gelderblom ◽  
Pieter Jonker ◽  
Luc de Witte
Keyword(s):  
Systematic Review ◽  
Elderly Care ◽  
Assistive Robots ◽  
Socially Assistive Robots

User Acceptance of Location-Based Mobile Advertising

2012 ◽  
pp. 59-71 ◽  
Author(s):  
Kiyana Zolfaghar ◽  
Farid Khoshalhan ◽  
Mohammad Rabiei
Keyword(s):  
Technology Acceptance ◽  
Mobile Networks ◽  
User Acceptance ◽  
Key Factors ◽  
Effort Expectancy ◽  
New Form ◽  
And Control ◽  
Potential Customers ◽  
Tracking Technology

Location-based advertising (LBA) opens up new frontiers for marketers to place their advertisements in front of consumers. LBA is a new form of marketing communication that uses location-tracking technology in mobile networks to target consumers with location-specific advertising on their cell phones. It provides more targeted communication and interaction between the marketer and its potential customers. This paper reviews different aspects of LBA advertising and investigates the drivers of consumer acceptance toward it. Achieving this, a research framework is developed to explore the factors influencing consumer intention for using LBA in Iran. Individuals’ responses to questions about intention to accept/use of LBA advertising were collected and analyzed with various factors modified from UTAUT with main constructs of utility expectancy, trust, effort expectancy, and control. While the model confirms the classical role of utility expectancy and effort expectancy as the key factors in technology acceptance, the results also show that users’ behavioral intentions are influenced by trust and their control on ads flow.

Feasibility, acceptance, and impact of socially assistive robots in non-drug interventions with people with dementia: A scoping review

2020 ◽  
Vol 20 (1) ◽  
pp. 1-25
Author(s):  
Catharina Wasić ◽  
Anna Pendergrass ◽  
Hans-Joachim Böhme ◽  
Frank Bahrmann ◽  
Elmar Graessel
Keyword(s):  
Scoping Review ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
People With Dementia ◽  
Drug Interventions

Engagement and experience of older people with socially assistive robots in home care

2019 ◽  
pp. 1-15
Author(s):  
Rajiv Khosla ◽  
Mei-Tai Chu ◽  
Seyed Mohammad Sadegh Khaksar ◽  
Khanh Nguyen ◽  
Toyoaki Nishida
Keyword(s):  
Home Care ◽  
Older People ◽  
Assistive Robots ◽  
Socially Assistive Robots
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