Negotiating Relation Work with Telehealth Home Care Companionship Technologies that Support Aging in Place

Abstract

In response to a perceived caregiver shortage and need to support aging in place, telehealth home care systems are being developed to provide remote care and monitoring to older people. Tough research has examined the experiences of teleoperators delivering care through these systems, we know less about the experiences of older adults receiving this care. We report findings from a three-month study of a tablet-based telehealth home care system that provides support for aging in place. We find that there is a mismatch between the designer's conception of how care should be delivered and the ways that participants were interested in using the system. Tis mismatch exists in four areas: participants' interest in geting to know the human teleoperators and rejecting the virtual avatar, interrogating the interface to figure out the inner workings of the platform, pushing for a more symmetrical relationship, and negotiating the relation work that they were willing to perform in the "sacred space" of their homes. We draw on the concept of heteromation to understand the political dimensions of telehealth aging in place technologies. We also provide implications and future directions for technologies requiring relation work as well as the design of avatar-based remote companionship.

Home Interactive Elderly Care Two-Way Video Healthcare System Design

“…For example, Sable-Smith et al introduced a method for generating synthetic data to describe the behaviour of patients with dementia, solved the problem of detecting abnormal behaviours in the elderly, and compared the accuracy of several methods such as recurrent neural networks RNN, VRNN, long and short neural networks LSTM, and GRU [ 24 ]. In terms of monitoring falls in the elderly, Lazar et al described a dense sensing system for resident fall detection, which creates a complete monitoring area and monitors fall in the elderly by placing a smart carpet consisting of an array of radio frequency identification (RFID) tags in an indoor, lobby, or walkway environment [ 25 ]. The researchers proposed a heuristic and machine learning-based algorithm to distinguish between falls and prolonged lying on the floor, a type of falling behaviour.…”

“…The minimum value of k is 2 and the maximum value is not more than 10, which will make the model computation more difficult and complex. First, set the initial parameters C = 1, g = 0, and k = 2, and set the search range for C to [ 2 – 5 , 25 ] in steps of 0.2, and the range for g is set to [ 2 – 5 , 25 ] in steps of 0.2. The actual model is used to calculate the best parameters C and g , as well as the accuracy, as shown in Figure 8 .…”

Design of an Interactive Two-Way Telemedicine Service System for Smart Home Care for the Elderly

“…e concept of telemedicine was first proposed by American scholars, which refers to the use of data technology, information technology, and communication technology as a basis to take advantage of the technical advantages of medical disciplines and advanced equipment resources of large general hospitals as well as specialized hospitals, in order to carry out the information system application of remote medical consultation and treatment, medical and health consultation, and precise collection of multisource heterogeneous data of various medical devices [1]. Data processing and network collaboration are the foundation of telemedicine [2]. Limited by the data processing and sharing capabilities and network bandwidth at that time, early telemedicine could only provide services in health consultation, medical consultation, and long-distance transmission of medical images [3].…”

Coordinating Clinical Teams

“…They can also assist nurses with reception tasks in hospitals (e.g., desk reception) [1]. Other robots are used for telemedicine [32,46] and surgery [62,75]. The aforementioned robots can help fill care gaps, which result from a shortage in the healthcare workforce and the growing number of patients that need medical care [69,74].…”

“…Our work reveals some of the tasks that healthcare providers feel would be of greatest benefit to teams, which in turn will improve the likelihood that they will accept and utilize robots in these spaces. Furthermore, numerous robots have been successfully integrated into various clinical settings [1,23,32,46,54,58] which motivates the potential for robots to be designed for team settings as well. Our work raises many opportunities to design robots that can work effectively in team settings while addressing social challenges such as reluctance to adopt the robot in team workflow, disruption of the existing workflow, and the possibility of unexpected consequences of robots in these spaces.…”