Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands.
• Specific training improves gestural commands for interacting with a bathing robot. • Command recognition (CR) of the robot is significantly higher after training. • Improvements in gestural performance (GP) are highly associated with those in CR. • Low initial GP and high gerontechnology anxiety a...
| Published in: | Archives of Gerontology & Geriatrics Vol. 87 |
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| Main Authors: | , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Elsevier B.V.
Mar2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141983927&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141983927 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01674943 3HX jtl: Archives of Gerontology & Geriatrics issn: 01674943 maglogo: N pubinfo: dt: Mar2020 vid: 87 pid: 1004 pub: Elsevier B.V. artinfo: ui: 141983927 141983927 141983927 10.1016/j.archger.2019.103996 141983927 ppct: 1 formats: tig: atl: Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands. aug: au: Werner, Christian Kardaris, Nikos Koutras, Petros Zlatintsi, Athanasia Maragos, Petros Bauer, Jürgen M. Hauer, Klaus affil: Center for Geriatric Medicine, Heidelberg University, Heidelberg, Germany sug: subj: Assistive Technology Devices Robotics User-Computer Interface Body Language Education Bathing and Baths Gerontologic Care Human Quasi-Experimental Studies Pretest-Posttest Design Biosensors Anxiety Aged Aged: 65+ years ab: • Specific training improves gestural commands for interacting with a bathing robot. • Command recognition (CR) of the robot is significantly higher after training. • Improvements in gestural performance (GP) are highly associated with those in CR. • Low initial GP and high gerontechnology anxiety are associated with benefits in GP. • Gesture-based interaction with a bathing robot can be improved via user training. Gesture-based human-robot interaction (HRI) depends on the technical performance of the robot-integrated gesture recognition system (GRS) and on the gestural performance of the robot user, which has been shown to be rather low in older adults. Training of gestural commands (GCs) might improve the quality of older users' input for gesture-based HRI, which in turn may lead to an overall improved HRI. To evaluate the effects of a user training on gesture-based HRI between an assistive bathing robot and potential elderly robot users. Twenty-five older adults with bathing disability participated in this quasi-experimental, single-group, pre-/post-test study and underwent a specific user training (10−15 min) on GCs for HRI with the assistive bathing robot. Outcomes measured before and after training included participants' gestural performance assessed by a scoring method of an established test of gesture production (TULIA) and sensor-based gestural performance (SGP) scores derived from the GRS-recorded data, and robot's command recognition rate (CRR). Gestural performance (TULIA = +57.1 ± 56.2 %, SGP scores = +41.1 ± 74.4 %) and CRR (+31.9 ± 51.2 %) significantly improved over training (p <.001). Improvements in gestural performance and CRR were highly associated with each other (r = 0.80–0.81, p <.001). Participants with lower initial gestural performance and higher gerontechnology anxiety benefited most from the training. Our study highlights that training in gesture-based HRI with an assistive bathing robot is highly beneficial for the quality of older users' GCs, leading to higher CRRs of the robot-integrated GRS, and thus to an overall improved HRI. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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