Automated Behavioral Mapping for Monitoring Social Interactions among Older Adults

Rébola, Claudia B.; Ogunmakin, Gbolabo; Vela, Patricio A.

doi:10.1007/978-3-642-34103-8_19

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Concretely, we utilize video sensors to gain the images of person interaction and multiple computation nodes to process the sensor data; subsequently, the social behavior recognition will be sent to a central control node that reacts on the actuators to control physical objects (e.g., projector, plotter, scanner, printer, and fax). Additionally, we refer to the approach mentioned in Rebola et al [2012] to detect the social behavior of people. Apart from video sensors and actuators, computation tasks of smart office can be divided into the following five types:…”

Section: Smart Office Modelingmentioning

confidence: 99%

A System-Level Modeling and Design for Cyber-Physical-Social Systems

Zeng

Yang

2016

ACM Trans. Embed. Comput. Syst.

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The design of cyber-physical-social systems (CPSS) is a novel and challenging research field due that it emphasizes the deep fusion of cyberspace, physical space, and social space. In this article, we extend our previously proposed system-level design framework [Zeng et al. 2015] to tailor it to the needs of social scenario of multiple users. A hierarchical Petri net-based model and social flow are presented to extend the control flow and formally describe the social interactions of multiple users, respectively. By using the extended model, the system-level optimization for CPSS can be achieved by the improved design flow. Specifically, object emplacement and user satisfaction are further extended into the social environment. Also maximal power estimation algorithm is improved, leveraging the extended intermediate representation model. Finally, we use a smart office case to demonstrate the feasibility and effectiveness of our improved design approach for multiple users.

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Section: Smart Office Modelingmentioning

confidence: 99%

A System-Level Modeling and Design for Cyber-Physical-Social Systems

Zeng

Yang

2016

ACM Trans. Embed. Comput. Syst.

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“…In HCI, one vein of research has studied interactions between individuals living in independent living communities. For example, technologies have been proposed to monitor [59] and increase [42,58] interactions in common spaces. One system was designed for residents to register for activities in an independent living community [57].…”

Section: Independent Living Communities In Hcimentioning

confidence: 99%

Successful Leisure in Independent Living Communities

Lazar

Nguyen

2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Leisure activities are a source of meaning and enjoyment for individuals across the lifespan. In this study, we conducted interviews with twenty-four older adults living in four different independent living communities. We present societal and ecological factors and motivations that influenced the way people participated in and decided what constitutes leisure activities. The goal of maintaining physical and cognitive health was often intertwined with motivations to engage in leisure activities. We discuss how this fits into the broader framework of successful aging and implications for technology design. We also provide an example of how findings from this study can be applied to a specific leisure activity: watching television.

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Automated Behavioral Mapping for Monitoring Social Interactions among Older Adults

Cited by 2 publications

References 11 publications

A System-Level Modeling and Design for Cyber-Physical-Social Systems

A System-Level Modeling and Design for Cyber-Physical-Social Systems

Successful Leisure in Independent Living Communities

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