Robots as Welfare Technologies to Reduce Falls Amongst Older Adults: An Explorative Study from Norway

Saplacan, Diana; Tørresen, Jim

doi:10.1007/978-3-031-05654-3_6

Cited by 8 publications

(3 citation statements)

References 31 publications

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“…When thinking of older people, the focus is frequently placed on their limitations [56,57] even though older people are capable of using systems effectively [7]. Consequently, designing predominantly for limitations may result in technologies that are stigmatizing [7,58], and might even prevent adoption [23,59].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

2022

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This study aimed to understand the perceptions of young computing science students about women and older people with regard to their computer literacy and how this may affect the design of computer-based systems. Based on photos, participants were asked how likely they thought the person depicted would be to use desktop computers, laptops and smartphones, and how much expertise they thought they would have with each technology. Furthermore, in order to see what impact this could have on systems being developed, we asked what design aspects would be important for the depicted person and whether they thought an adapted technology would be required. This study is based on an existing questionnaire, which was translated into German and extended to explore what impact this may have on system design. The results draw on 200 questionnaires from students in the first year of their Information and Communications Technology (ICT) studies at an Austrian university of applied sciences. Quantitative methods were used to determine if the perceptions varied significantly based on the age and gender of the people depicted. Qualitative analysis was used to evaluate the design aspects mentioned. The results show that there are biases against both older people and women with respect to their perceived expertise with computers. This is also reflected in the design aspects thought to be important for the different cohorts. This is crucial as future systems will be designed by the participants, and these biases may influence whether future systems meet the needs and wishes of all groups or increase the digital divide.

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Section: Theoretical Backgroundmentioning

confidence: 99%

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

2022

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“…• While the robot is tele-operated by an engineer using the WebGUI, through slow and rotational movements around the environment, ROS rosbags -file format in ROS for storing ROS message data 16 -are recorded and saved in an external hard-drive. Data consists of camera data (RGB or RGB-D) and odometry data; • The occupancy grid map is saved and displayed on the WebGUI.…”

Section: A Technical Challenges Of Real-world Deploymentmentioning

confidence: 99%

“…There has been increased research in the past few years towards the deployment of socially assistive robots (SAR) in real-world healthcare scenarios, aimed, among other applications, at assisting older adults with the different needs previously mentioned. A few examples are: providing support for cognitive training [10], [11], [12], offering companionship [13], delivering reminders or scheduling videocalls [14], health monitoring such as temperature control or predicting and supporting fall detection [15], [16], among others.…”

Section: Introduction: Aging Needsmentioning

confidence: 99%

Challenges of deploying assistive robots in real-life scenarios: an industrial perspective

Cooper,

Ros,

Lemaignan

2023

2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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The Care-Dependent are Less Averse to Care Robots: An Empirical Comparison of Attitudes

Schönmann,

Bodenschatz,

Uhl

et al. 2023

Int J of Soc Robotics

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A growing gap is emerging between the supply of and demand for professional caregivers, not least because of the ever-increasing average age of the world’s population. One strategy to address this growing gap in many regions is the use of care robots. Although there have been numerous ethical debates about the use of robots in nursing and elderly care, an important question remains unexamined: how do the potential recipients of such care perceive situations with care robots compared to situations with human caregivers? Using a large-scale experimental vignette study, we investigated people’s affective attitudes toward care robots. Specifically, we studied the influence of the caregiver’s nature on participants’ perceived comfort levels when confronted with different care scenarios in nursing homes. Our results show that the care-robot-related views of actual care recipients (i.e., people who are already affected by care dependency) differ substantially from the views of people who are not affected by care dependency. Those who do not (yet) rely on care placed care robots’ value far below that of human caregivers, especially in a service-oriented care scenario. This devaluation was not found among care recipients, whose perceived level of comfort was not influenced by the caregiver’s nature. These findings also proved robust when controlled for people’s gender, age, and general attitudes toward robots.

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Robots as Welfare Technologies to Reduce Falls Amongst Older Adults: An Explorative Study from Norway

Cited by 8 publications

References 31 publications

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

Challenges of deploying assistive robots in real-life scenarios: an industrial perspective

The Care-Dependent are Less Averse to Care Robots: An Empirical Comparison of Attitudes

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