Accompany: Acceptable robotiCs COMPanions for AgeiNG Years &amp;#x2014; Multidimensional aspects of human-system interactions

Amirabdollahian, Farshid; Akker, Rieks op den; Bedaf, Sandra; Bormann, Richard; Draper, Heather; Evers, Vanessa; Gelderblom, Gert Jan; Ruiz, C. Gutierrez; Hewson, David J.; Hu, Ninghang; Iacono, Iolanda; Koay, Kheng Lee; Kröse, B.J.A.; Marti, Patrizia; Michel, H.; Prevot-Huille, Helene; Reiser, Ulrich; Saunders, Joe; Sorell, Tom; Dautenhahn, Kerstin

doi:10.1109/hsi.2013.6577882

Cited by 22 publications

(18 citation statements)

References 13 publications

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“…However, they were more anxious about the robot who had similar extraversion levels to themselves. However, personality and behaviours need to be consistent with robot function and the users' expectations of their role [11,12,56]. Amirabdollahain, Akker et al (2013) [57] investigated OA (n=41) response to robots undertaking specific tasks and roles in the laboratory setting.…”

Section: Robot Behaviour and Communication Stylesmentioning

confidence: 99%

Factors Affecting the Acceptability of Social Robots by Older Adults Including People with Dementia or Cognitive Impairment: A Literature Review

Whelan

Murphy

Barrett

et al. 2018

Int J of Soc Robotics

108

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Social robots are being developed to support care given to older adults (OA), people with dementia (PWD) and OA with mild cognitive impairment (MCI) by facilitating their independence and wellbeing. The successful deployment of robots should be guided by knowledge of factors which affect acceptability. This paper critically reviews empirical studies which have explored how acceptability issues impact OA, PWD and OA with MCI. The aim is to identify the factors governing acceptability, to ascertain what is likely to improve acceptability and make recommendations for future research. A search of the literature published between 2005 and 2015 revealed a relatively small body of relevant work has been conducted focusing on the acceptability of robots by PWD or OA with MCI (n=21), and on acceptability for OA (n=23). The findings are presented using constructs from the Almere robot acceptance model. They reveal acceptance of robots is affected by multiple interacting factors, pertaining to the individual, significant others and the wider society. Acceptability can be improved through robots using humanlike communication, being personalised in response to individual users' needs and including issues of trust and control of the robot which relates to degrees of robot adaptivity. However, most studies are of short duration, have small sample sizes and some do not involve actual robot usage or are conducted in laboratories rather than in real world contexts. Larger randomised controlled studies, conducted in the context where robots will be deployed, are needed to investigate how acceptance factors are affected when humans use robots for longer periods of time and become habituated to them.

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Section: Robot Behaviour and Communication Stylesmentioning

confidence: 99%

Factors Affecting the Acceptability of Social Robots by Older Adults Including People with Dementia or Cognitive Impairment: A Literature Review

Whelan

Murphy

Barrett

et al. 2018

Int J of Soc Robotics

108

View full text Add to dashboard Cite

show abstract

“…Thus, here we examine the state of the art within the context of SSP. Although only one sensor may be sufficient for detecting signals within a particular application, investigators developing socially-aware "smart" environments are favoring the use of arrays of multiple sensors to enhance computational awareness and facilitate localizing and tracking individual persons through space 34,35 . While there are many sensors to choose from when designing any socially-aware system, these are not without their limitations.…”

Section: Sensors Used For Detection Of Social Cuesmentioning

confidence: 99%

An interdisciplinary taxonomy of social cues and signals in the service of engineering robotic social intelligence

et al. 2014

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Understanding intentions is a complex social-cognitive task for humans, let alone machines. In this paper we discuss how the developing field of Social Signal Processing, and assessing social cues to interpret social signals, may help to develop a foundation for robotic social intelligence. We describe a taxonomy to further R&D in HRI and facilitate natural interactions between humans and robots. This is based upon an interdisciplinary framework developed to integrate: (1) the sensors used for detecting social cues, (2) the parameters for differentiating and classifying differing levels of those cues, and (3) how sets of social cues indicate specific social signals. This is necessarily an iterative process, as technologies improve and social science researchers better understand the complex interactions of vast quantities of social cue combinations. As such, the goal of this paper is to advance a taxonomy of this nature to further stimulate interdisciplinary collaboration in the development of advanced social intelligence that mutually informs areas of robotic perception and intelligence.

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“…They argued that designs need to be more obvious for the people that will be using or interacting with the robot. Other projects [13,2] have seen this need for respecting the privacy of an elderly person at home.…”

Section: Robots and Privacymentioning

confidence: 99%

Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment

2018

Lecture Notes in Computer Science

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The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we examine different understandings of privacy and use Palen and Dourish's framework to look at the negotiation of privacy along boundaries between a human at home, the robot, and its sensors. We select three dilemmas: turning sensors on and off, the robot seeing through walls, and machine learning. We discuss these dilemmas and also discuss ways the robot can help make the elderly more aware of privacy issues and to build trust.

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Accompany: Acceptable robotiCs COMPanions for AgeiNG Years — Multidimensional aspects of human-system interactions

Cited by 22 publications

References 13 publications

Factors Affecting the Acceptability of Social Robots by Older Adults Including People with Dementia or Cognitive Impairment: A Literature Review

Factors Affecting the Acceptability of Social Robots by Older Adults Including People with Dementia or Cognitive Impairment: A Literature Review

An interdisciplinary taxonomy of social cues and signals in the service of engineering robotic social intelligence

Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment

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