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Vibrotactile stimulation as an instructor for mimicry-based physical exercise

Lylykangas, Jani,Heikkinen, Jani,Surakka, Veikko,Raisamo, Roope,Myllymaa, Kalle,Laitinen, Arvo

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Copyright © 2015 Jani Lylykangas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Resea ch A icle Vib o ac ile S imula ion as an Ins uc o o Mimic y-Based Physical Exe cise Jani Lylykangas,1Jani Heikkinen,2Veikko Su akka,1Roope Raisamo,1 Kalle Myllymaa,1and A o Lai inen3 1Tampe e Uni o Compu e -Human In e ac ion (TAUCHI), School o In o ma ion Sciences, Uni e si y o Tampe e, Kansle in inne 1, 33014 Tampe e, Finland 2The Uni o Human-Cen e ed Technology (IHTE), Depa men o Pe asi e Compu ing, Tampe e Uni e si y o Technology, P.O. Box 553, 33101 Tampe e, Finland 3Audio Ride s, L d., En allinkuja 4B, 01900 Nu mij¨ a i, Finland Co espondence should be add essed o Jani Lylykangas; jani.lylykangas@u a. i Recei ed 18 June 2015; Re ised 11 Sep embe 2015; Accep ed 29 Sep embe 2015 Academic Edi o : Ma co Mamei Copy igh © 2015 Jani Lylykangas e al. This is an open access a icle dis ibu ed unde he C ea i e Commons A ibu ion License, which pe mi s un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided he o iginal wo k is p ope ly ci ed. The p esen aim was o in es iga e unc ionali y o ib o ac ile s imula ion in mimic y-based beha io al egula ion du ing physical exe cise. Vib o ac ile s imuli communica ed ins uc ions om an ins uc o o an exe cise o pe o m lowe ex emi y mo emen s. A wi eless p o o ype was es ed i s in con olled labo a o y condi ions (S udy 1) and was ollowed by a use s udy (S udy 2) ha was conduc ed in a g oup exe cise si ua ion o elde ly pa icipan s wi h a new e sion o he sys em wi h imp o ed cons uc ion and ex ended unc ionali y. The esul s o S udy 1 showed ha ib o ac ile ins uc ions we e success ul in bo h supplemen ing and subs i u ing isual knee li ins uc ions. Vib o ac ile s imuli we e accu a ely ecognized, and exe cise wi h he de ice ecei ed a i ma i e a ings. In e es ingly, ac ile s imula ion appea ed o s abilize accele a ion magni ude o he knee li s in compa ison o isual ins uc ions. In S udy 2 i was ound ha use expe ience o he sys em was mainly posi i e by bo h he exe cise s and hei ins uc o s. Fo example, exe cise wi h ib o ac ile ins uc ions was expe ienced as mo e mo i a ing han con en ional exe cise session. Toge he he esul s indica e ha ac ile ins uc ions could inc ease possibili ies o people ha ing di icul ies in ollowing isual and audi o y ins uc ions o ake pa in mimic y-based g oup aining. Bo h s udies also e ealed de elopmen a eas ha we e p ima ily ela ed o a sligh delay in igge ing he ib o ac ile s imula ion. 1. In oduc ion S uc u ed physical g oup exe cise is ypically based on seeing and lis ening o ins uc ions o a aine and hen modeling hem by ainees who y o do he same mo emen s in synch ony wi h he aine . The e a e many g oups, howe e , likeagedanddisabledpeoplewhocanno bene i o ge he ull u ili y om such ac i i ies i hei senso y o cogni i e impai men s inhibi hem om ollowing isual and audi o y ins uc ions. U ilizing he sense o ouch as an in o ma ion channel could pa ly eplace he equi emen s o he ull unc ionali y o isual and audi o y pe cep ion (see [1] o a e iew). Following his, ouch media ed ins uc ions could inc ease he achie abili y o g oup exe cise o special g oups and i could ac ually complemen he exe cise e en in he case o ully unc ional senso y sys ems. Mo o esponse o a ouch sensa ion is an inna e ai o human beings, and he sense o ouch has some ad an ages o e he o he senses [2]. Fo example, eac ion imes (RTs) o ac ile s imuli ha e been ound o be as e han RTs o isual s imuli (e.g., [3]). As compa ed o audi o y RTs, ac ile RTs ha e been ound o be less a ec ed by dis ac ions such as a concu en seconda y ask (e.g., [4]). This is p obably because, in con as o isual and audi o y e en s, ac ile e en s a e in di ec physical con ac wi h he o ganism and hus e oke mo e eadily he in e es o an o ganism [5]. Mechanisms o eac o ac ile s imula ion a e among he i s ones o de elop as e idenced by he palma g asp e lex Hindawi Publishing Co po a ion Ad ances in Human-Compu e In e ac ion Volume 2015, A icle ID 953794, 13 pages h p://dx.doi.o g/10.1155/2015/953794 2Ad ances in Human-Compu e In e ac ion o e uses [6]. Fu he mo e, he impo ance o he sense o ouch has been shown by, o example, emaining o mo o esponses o ac ile s imula ion, while he pa ien s a e un esponsi e o o he ypes o s imula ions like isual and audi o y s imula ions [7]. Rela i ely ecen expe imen al esea ch has shown ha echnology-media ed ib o ac ile s imula ion (i.e., cu aneous s imula ion p oduced by a ib a ion ac ua o ) can be success- ullyusedinassis ingphysical ehabili a ionandexe ciseby means o senso y subs i u ion and augmen a ion. Wea able ib o ac ile eedbacksys emsha ep o en obeusable, o example, in gai e aining [8], body balance con ol [9], owing [10], snowboa ding [11], and e en swimming [12]. The e is also e idence ha app op ia ely designed ib o ac ile signals can be in ui i ely associa ed wi h cues sugges ing, o example, o accele a e and decele a e he speed o mo e- men [13]. The e idence on in ui i e associa ions be ween ac ile s imula ion and human beha io sugges s ha ac ile s imula ion migh also unc ion as a subs i u e o ano he pe son’s isual demons a ion o bodily mo emen s. Lee and his colleagues [14, 15] ha e empi ically es ed body balance aining wi h ac ile in o ma ion in he mimic y ame o e e ence, bu o he wise using ac ile s imula ion in p o iding in e pe sonal, mimic y-based beha io al egu- la ion in o ma ion seems o be s ill la gely uns udied. In a p elimina y s udy by Lee and Sienko [14] he ask was o eplica e p e eco ded unk il mo emen s consis ing o a 20∘an e io il ollowed by a 6 s long s a ic hold and a 20∘ pos e io unk il back o he up igh s a ing posi ion. The il mo emen s we e pe o med a a a e o abou 1.12∘/s. The ins uc ions we e ei he isual, ac ile, o combined isual- ac ile cues. Visual ins uc ion was p o ided wi h a side- iew illus a ion o a i ual a a a ep esen ing he p e eco ded example mo emen s o an ins uc o . Tac ile ins uc ions we e p o ided wi h wo sepa a e ib a ion ac ua o s placed on unk midline in he na el and back indica ing he an e io and pos e io il s, espec i ely. End o he ib a ion commu- nica ed he a ainmen o he desi ed il angle. The esul s showed ha he example il s we e mimicked signi ican ly mo e accu a ely and as e wi h combined isual- ac ile and ac ile ins uc ions as compa ed o isual ins uc ions. In a ollow-up s udy [15] he speed o he example mo emen was a ied, and his ime only ac ile ins uc ions we e p o ided. The esul s showed ha slow (app oxima ely 1.12∘/s) example mo emen s we e mimicked mo e accu a ely as compa ed o medium (app oxima ely 2.0∘/s) and as (app oxima ely 4.0∘/s) example mo emen s. Toge he he esul s o Lee and colleagues [14, 15] indica e a se ious po en ial o using ac ile ins uc ions o mimic physical mo emen o ano he pe son in eyes- and hands- ee ashion. Howe e , mo e esea ch is needed o assess he unc ionali y o he concep in o he ypes o mimic y-based physical aining. In con as o ea lie wo k, ou aim was o b oaden he scope om pe sonal (i.e., one- o-one) balance ain- ing owa ds as e -paced hy hmic knee li exe cise o en pe o med in g oup aining si ua ions. Clea ly, he cha - ac e is ics and equi emen s o he ela i ely slow-paced unk il exe cise pe o med in he ea lie s udies and he hy hmic knee li exe cise (e.g., ma ching in place) wi h many pa icipan s de ia e om each o he in many espec s. Fo example, he p ecise pos u al mimic y o he angula magni ude o he ins uc o ’s mo emen conside ed essen ial in he ea lie unk il s udies was no ecognized as a cen al ac o in he hy hmic knee li ing ask. This is because com o able li heigh ange may be widely a ied wi hin he exe cise g oup depending on he pa icipan s’ physical condi ion. Accu a e empo al mimic y enabling hy hmic synch ony, howe e , is essen ial in his ype o an exe cise in o de okeep heg oupin hesamephase.So,incon as o he ins uc ions gi en in balance aining, i is mo e i al ocommunica e hes a ime a he hanendpoin o he mo emen . Ano he change conside ed necessa y o he cu en in es iga ion was he eplacemen o he i ual a a a used in [14] by a human ins uc o o mee he acili ies o a ypical g oup exe cise si ua ion. Impo an ly, we also add essed he exe cise s’ subjec i e expe iences on how hey conside ed ouch in o ma ion in he con ex o physical exe cise. We designed a sys em ha measu ed an ins uc o ’s leg mo emen s and, on he basis o hese measu emen s, ac ile s imula ions we e wi elessly ou ed o a leg o a pa icipan o ins uc he momen s o pe o m leg li s. Two e sions o a wi eless and wea able p o o ype sys em we e designed in an i e a i e ashion o in es iga ion. In S udy 1, he i s p o- o ype e sion was es ed in con olled labo a o y condi ions wi h indi idual adul s pa icipa ing in a simula ed exe cise si ua ion o ge basic in o ma ion on he unc ionali y o he sys em and o e eal main de elopmen a eas. In S udy 2, hesecondp o o ype e sionwi hmodi iedcons uc ionand inc eased unc ionali y needed in ac ual aining si ua ion was es ed in ealis ic condi ions wi h a po en ial a ge g oup consis ing o ge ia ic pa icipan s aking pa in a s uc u ed g oup exe cise. In bo h s udies he pa icipan s pe o med mimic y-based asks wi h isual and ac ile guidance and hen e alua ed hei expe iences o pe o ming he exe cise. 2. S udy 1: Labo a o y Expe imen 2.1. In oduc ion. The aim o he i s expe imen was o e alua e how a wi eless ac ile guidance applica ion unc ions in compa ison o con en ionally used isual demons a ion in a knee li exe cise. Typically in such exe cise an ins uc o shows how and when a knee should be li ed, and he exe cise ’s ask is o mimic he demons a ion mo emen s in he same phase wi h he ins uc o . We used p e eco ded ideo ins uc ions in gi ing he isual guidance s imuli o p o ide consis en and compa able es condi ions. A e lec ion symme y mo o pa adigm by Ba elas e al. [16] was used o ins uc he pa icipan o imi a e he ins uc o ’s demons a ion mo emen s shown in he ideo so ha he pa icipan and he ins uc o we e acing each o he and he ask was o espond o he ins uc o ’skneeli asi wa chingone’sownimage e lec ed by a mi o . Tac ile guidance was p o ided wi h ib a ion s imula ion on a leg. Tac ile s imulus was based on a push me apho [11, 17]. This means ha he ask was o wi hd aw he leg Ad ances in Human-Compu e In e ac ion 3 away om he s imulus loca ed in he do sal side o he leg abo e c ook as hough he ib a ion would “push” he limb o an opposi e di ec ion. The s imulus- esponse compa ibili y be ween push e sus pull s imula ion and consecu i e body mo emen s has been s udied o some ex en (e.g., o w is o a ion di ec ion s udied in Jansen e al. [17]), bu so a es ablished guidelines o op imal s imulus loca ions, o example, o a knee li mo emen , seem o be nonexis en . Loca ion, du a ion, ib a ion equency, and ampli ude o he ac ile s imula ion we e chosen based on a pilo es whe e six pa icipan s e alua ed ib a o y s imula ions in di e en leg loca ions while pe o ming a knee li exe cise. The o e all p e e ence o he wo me apho s was almos equally dis ibu ed and hus he decision was based on he sligh ly mo e a i ma i e s imulus ampli ude a ings gi en o he push me apho s imula ions. The e we e h ee modali y condi ions o p o ide knee li ins uc ions: isual (V), ac ile (T), and isual- ac ile (VT) guidance. Knowing ha a sligh delay be ween he onse s o isual and ac ile s imuli will ine i ably be p esen due o an accele a ion h eshold-based igge ing o he ac ile s imulus (i.e., he ins uc o ’s leg mo emen needed o exceed a ce ain magni ude o se on he ac ile s imulus in he exe cise ’s leg) as well as ope a ing la ency o he ib o ac ile ac ua o , we ocusedoncompa ing hekneeli RTbe ween hemodali y condi ions. RT was conside ed as an impo an measu e because synch onous-enough iming be ween he onse s o ins uc o ’s demons a ion mo emen and he ac ile guid- ance s imulus would be a p e equisi e o a success ul g oup exe cise especially wi h isually impai ed exe cise s. We also in es iga ed possible e ec s o ac ile s imula ion on he leg’s accele a ion magni ude o s udy he mo emen dynamics be ween he di e en ins uc ion modali ies in mo e de ail. In addi ion o he objec i e measu es o he knee li RT and accele a ion, he pa icipan s’ subjec i e expe iences we e inqui ed o assess how hey a ed he ac ile ins uc ions in his ype o ac i i y. 2.2. Me hods 2.2.1. Pa icipan s. Twel e olun a y pa icipan s (3 emale and 9 male) be ween he ages o 19 and 48 yea s (M =26 and SD =9) ook pa in he s udy a e signing in o med consen o ms. They we e s uden s o s a o he Uni e si y o Tampe e. All epo ed ha ing no mal sense o ouch and no mal o co ec ed o no mal ision. Ele en o hem we e igh leggedandonewasle leggedby hei own epo .The s udy was app o ed by a local esea ch e hics commi ee. 2.2.2. S imuli. The knee li guidance s imuli we e p esen ed in h ee modali y condi ions. In V modali y condi ion he s imuli we e p o ided wi h an exe cise ideo (320 × 240 pixel esolu ion, ∼30 Hz sampling a e) whe e an ins uc o acing owa ds he pa icipan p oduced he s imuli by demons a ing le knee li mo emen s (Figu e 1). In VT modali y condi ion, a 200 ms long and 285 Hz ib a ion s imulus in he pa icipan ’s igh high was coupled wi h each knee li e en p esen ed in he exe cise ideo. Figu e 1: A sc eensho o he exe cise ideo showing he ins uc o pe o ming a demons a ion mo emen . The cu en s imulus du a ion has been ea lie used in wea able ib a ion sys ems o body mo emen ins uc ions by, o example, Sienko e al. [9] and Jansen e al. [17]. The ib a ion equency was wi hin he bes sensi i i y ange o Pacinian co puscle mechano ecep o s a ound 10–500 Hz [18] and was ound o be well pe cei ed in he p eexpe imen al pilo es . The ib a ion was p o ided in an ea ly phase o he demons a ion knee li mo emen as soon as he ins uc o ’s leg accele a ion exceeded a iaxial sum ec o h eshold o 0.75 g calcula ed as √(𝑔𝑋2)+(𝑔𝑌2)+(𝑔𝑍2)(1) in a baseline-co ec ed da a. The baseline was he mean o he i s 200 samples om he beginning o he measu emen while he ins uc o was s anding s ill. The h eshold was de e mined by inspec ing accele a ions o he demons a ion mo emen s shown in he exe cise ideos. The da a showed ha he cu en h eshold was equi ed o be exceeded in o de o eliably de ec he upwa d phase o each o he demons a ion mo emen s. In consequence o he accel- e a ion h eshold he e was an a e age o 203 ms (SD = 31ms) delay be ween he ins uc o ’s ini ial leg mo emen and he onse o he ac ile s imulus. In T modali y con- di ion he ib a ion s imuli we e iden ical o hose in VT, bu he isual ins uc ions (i.e., he exe cise ideo) we e excluded. In o de o educe he p edic abili y o s imulus onse ime, in e s imulus in e al (ISI) was a ied andomly wi hin h ee du a ions: 3 (sho ), 6 (medium), and 9 (long) seconds, app oxima ely. Th ee sepa a e exe cise ideos (i.e., one o each modali y condi ion) wi h di e en ly a anged ISIoccu encewe eused oelimina epossiblelea ninge ec ega ding he unning o de o he sho , medium, and long ISI ials. 2.2.3. Appa a us. The i s p o o ype de ice (Figu e 2) was buil on A duino Duemilano e p o o yping boa d ha was used o p ocessing he da a om an accele ome e , con ol- ling a ib a ion mo o and communica ing wi elessly wi h a PC o e Blue oo h. The p o o yping boa d, Blue oo h mod- ule, and 9 V ba e y used o powe he de ice we e enclosed o a box and placed in o a bel bag. P ecision Mic od i es 4Ad ances in Human-Compu e In e ac ion (a) (b) Figu e 2: (a) Wea able pa s o he appa a us including elec onics in he enclosu e box (middle), accele ome e inside he ound housing ( igh ), and ib a ion mo o inside he ube housing (le ). Scale is indica ed by a coin in diame e o 20 mm. (b) The bel bag con aining he enclosu e box and he leg band equipped wi h he accele ome e and ib a ion mo o wo n by a pa icipan . ib a ion mo o (model 304-111) encapsula ed in a plas ic ube was used o s imula ing a leg. The ypical ope a ing cha ac e is ics o he ib a ion mo o included a lag ime o 16 ms and a ise ime o 28 ms. A 3.3 V ou pu o he A duino boa d was used oge he wi h a bipola ansis o o d i e he ib a ion mo o . The ansis o was con olled o e he digi al ou pu o he p o o yping boa d. Dimension Enginee ing DE- ACCM3D iaxial accele ome e senso encapsula ed in a plas ic housing measu ed he accele a ion o a pa icipan ’s leg mo emen . The accele ome e ea u ed a ±3gsense ange and 500 Hz bandwid h o 𝑥-axis, 𝑦-axis, and 𝑧-axis. An analog inpu o he p o o yping boa d was used o ead he ou pu o he accele ome e . The ib a ion mo o and he accele ome e we e a ached o a leg band. The PC and he p o o ype de ice communica ed wi h he BlueSMiRF Sil e module o e se ial po . A USB-Blue oo h adap e was used o ansla ing he wi eless communica ion in a sampling a e o 60 Hz. The PC was used o sending he ac ile ins uc ion s imula ion and p esen ing he ideo ins uc ions o he pa - icipan and o s o ing he ecei ed accele a ion da a om he pa icipan ’s leg using cus om so wa e p og ammed in P ocessing.o g language. The so wa e was used o ecei ing accele a ion da a o e he wi eless communica ion om he p o o ype de ice and o s o ing he ime s amped da a o a ile o la e analysis. The ins uc ions we e based on p e eco ded accele a ion measu emen s ha we e eco ded wi h he de ice and s o ed oge he wi h he eco ded exe cise ideo in synch oniza ion. Visual ins uc ions we e p esen ed h ough a 24󸀠󸀠 Samsung SyncMas e display. 2.2.4. P ocedu e. A e wea ing he bel bag including he elec onics, helegbandwas as eneda ound hepa icipan ’s igh high so ha he accele ome e was loca ed in he en al sideabou 10cmabo e hekneecapand he ib a ionmo o was in he do sal side o he high (Figu e 2(b)). Then a hea ing p o ec o was pu on and wo 200 ms long es s imuli we e p esen ed o con i m ha he pa icipan was able o eel he ib a ionandunable ohea he ib a ionsound. The pa icipan was guided o abou 120 cm dis ance om he compu e display o which cen e poin was 155 cm abo e he loo . Then he expe imen e ga e e bal ins uc ion and a isual example o he exe cise mo emen . The ask was o li he igh knee un il he high angle was pa allel wi h he loo , a he maximum, and immedia ely a e ha o lay he leg down back in he s a ing posi ion. The li was ins uc ed o be done as soon as he isual ins uc ion on he ideo and/o ac ile s imulus was pe cei ed. This ins uc ion was gi en once be o e he ac ual expe imen al ials. Running o de o V, T, and VT condi ions and he h ee exe cise ideos was ully coun e balanced be ween he pa icipan s. A simila p ocedu e was ollowed in V, T, and VT condi ions apa om he ollowing a ibu es: (i) In V condi ion, he ideo was u ned on and he ib a ion mo o o . (ii) In T condi ion, he ideo was u ned o and he ib a ion mo o on. (iii) In VT condi ion, bo h he ib a ion mo o and he ideo we e u ned on. A e he expe imen e had le he oom, each condi ion s a edwi hanini ia ion ialexcluded om heanalysisand was ollowed by 21 expe imen al ials consis ing o se en sho , medium, and long ISI ials. An expe imen al ial s a ed wi h a andomly chosen sho , medium, o long ISI which was ollowed by V, T, o VT ins uc ion s imulus depending on he modali y condi ion. The pa icipan ’s ask was oimmedia ely espond o heins uc ions imulus byakneeli and hens a owai o anex ial. One condi ion ook abou 2.5 minu es. A e comple ing a condi ion, he expe imen e e u ned o he es ing oom and he pa icipan was allowed o ha e a sho b eak. Then he expe imen e announced he ins uc ion modali y o he upcoming condi ion. A e pe o ming all he h ee modali y condi ions he pa icipan assessed hem wi h a ing scales. In acco dance wi h Meh abian and Russell [19] and B adley and Lang [20] he scales we e bipola nine-poin scales a ying om −4 o+4.Ra ingswe easked o hepleasan nesso he ask ( a ying om unpleasan o pleasan ), easiness o he ask ( a ying om di icul o easy), and in e es o he ask ( a ying om bo ing o in e es ing). On each scale, 0 ep esen ed a neu al expe ience (e.g., nei he unpleasan no pleasan ). Ra ings we e gi en using pen and pape . Ad ances in Human-Compu e In e ac ion 5 Finally, he pa icipan was asked o a e he ac ile s imula- ion ega ding i s ampli ude ( oo weak, app op ia e, o oo s ong) and du a ion ( oo sho , app op ia e, o oo long). In addi ion, he empo al uni o mi y o he iming o he ac ile s imula ions in ela ion o he isual ins uc ions ( oo ea ly, app op ia e, o oo la e) p esen ed in he VT condi ion was asked o alida e hesubjec i eexpe ienceo helagcaused by he echnical implemen a ion o he ac ile s imulus. 2.2.5. Da a Analysis. RTs and peak accele a ions o he knee li s we e analyzed wi h a one-way epea ed measu es analysis o a iance (ANOVA) wi h modali y condi ion as a wi hin- subjec s ac o . I he sphe ici y assump ion o he da a was iola ed, G eenhouse-Geisse co ec ed deg ees o eedom we e used o alida e 𝐹s a is ic. Bon e oni co ec ed pai - wise 𝑡- es s we e used o pos hoc es s. RTs we e measu ed om he momen when he ins uc o ’s demons a ion knee li exceeded he 0.75 g accele a ion h eshold o he momen when he pa icipan ’s knee li mo emen eached i s peak accele a ion. Peak accele a ion sum ec o was de ined as he highes alue du ing an upwa d phase o he pa icipan ’s knee li e en using a simila baseline de ini ion and o mula as in de e mining he h eshold o s imulus onse in he exe cise ideo. A o al o 33% o he RT and accele a ion da a (i.e., 4, 5, and 3 pa icipan s in V, T, and VT condi ions, esp.) was excluded due o echnical easons causing noisy accele a ion signal and eplaced by a condi ion speci ic se ies means in he analyses. P io o he impu a ion, he no mali y o he ob ained RT and peak accele a ion da a was con i med using Shapi o-Wilk es o no mali y. The es s sugges ed ha he assump ion o no mal dis ibu ion was me in he V, T, and VT condi ions ega ding RT (S-W = 0.95, d = 8, and 𝑝 = 0.67;S-W=0.95,d =7,and𝑝 = 0.76;S-W=0.97,d =9, and 𝑝 = 0.91, esp.)andpeakaccele a ionda a(S-W=0.90, d = 8, and 𝑝 = 0.28;S-W=0.95,d =7,and𝑝 = 0.72;S-W= 0.87, d = 9, and 𝑝 = 0.13, esp.). Ra ings o pleasan ness, easiness, and in e es we e ana- lyzed wi h h ee sepa a e F iedman es s. I he F iedman es showed a signi ican e ec , Wilcoxon Signed-Rank es s we e used o pai wise compa isons. 2.3. Resul s. Means and s anda d e o o he means (SEMs) o heRTsandpeakaccele a ionso kneeli sa ep esen ed in Figu e 3. Nobody missed any knee li s imuli in he V, T, and VT condi ions. 2.3.1. Reac ion Times. A one-way epea ed measu es analysis o a iance (ANOVA) showed a s a is ically signi ican e ec o modali y: 𝐹(1.27,14.00) = 15.66;𝑝 ≤ 0.001.Pos hoc pai wise compa isons be ween he modali ies showed ha he RTs we e signi ican ly as e in V and VT condi ions as compa ed o T condi ion: MD = 158 ms and 𝑝 < 0.05 and MD = 183ms and 𝑝 < 0.001, espec i ely. RT di e ence be ween V and VT condi ions was s a is ically nonsigni ican . 2.3.2. Peak Accele a ions. Aone-wayANOVAshoweda s a is ically signi ican e ec o modali y: 𝐹(2,22) = 5.91;𝑝< 0.01. Pos hoc pai wise compa isons be ween he modali ies VTVT Ins uc ion modali y Reac ion ime Peak accele a ion 0 200 400 600 800 Time (ms) 0 1 2 3 4 Accele a ion (g) Figu e 3: Mean RTs and mean peak accele a ions o knee li s in isual (V), ac ile (T), and isual- ac ile (VT) modali y condi ions. E o ba s ep esen SEMs. Pleasan ness Easiness In e es V T VT −4 −3 −2 −1 0 1 2 3 4 Mean a ing Figu e 4: Mean a ings o pleasan ness, easiness, and in e es o he knee li asks in isual (V), ac ile (T), and isual- ac ile (VT) modali y condi ions. E o ba s ep esen SEMs. showed ha he peak leg accele a ions we e signi ican ly g ea e in VT condi ion when compa ed o T condi ion: MD =0.25gand𝑝 ≤ 0.05. O he pai wise compa isons we e s a is ically nonsigni ican . 2.3.3. Subjec i e Ra ings. Means and SEMs o he subjec- i e a ings a e shown in Figu e 4. F iedman es showed a s a is ically signi ican e ec o he a ings o in e es : 𝜒2= 9.66;𝑝 < 0.01. Fo he a ings o pleasan ness and easiness, he F iedman es e ealed no s a is ically signi ican e ec s. Wilcoxon Signed-Rank es s showed ha he ask was conside ed in T and VT condi ions as signi ican ly mo e in e es ing han in V condi ion: 𝑍 = −2.51and 𝑝 < 0.05and 𝑍 = −2.45 and 𝑝 < 0.05, espec i ely. Di e ence be ween T and VT condi ions was no s a is ically signi ican . Vib a ion ampli ude was conside ed as app op ia e by each o he wel e pa icipan s. No one epo ed he ib a ion being oo weak o oo s ong. Vib a ion du a ion was assessed as app op ia e by ele en pa icipan s, while one conside ed 6Ad ances in Human-Compu e In e ac ion ha he ib a ion was oo long. Nobody conside ed he ib a ion oo sho . In VT condi ion he ib a ion iming (i.e., synch ony) wi h espec o he knee li shown in he ins uc ion ideo was ag eed as app op ia e by i e pa icipan s and he emainde conside ed ha he ib a ion came oola e.Nobody hough ha he ib a ionwas oo ea ly wi h espec o he ideo. 2.4. Discussion. The esul s o S udy 1 showed ha ac ile ins uc ion channel was unc ional in a knee li exe cise bo h alone (i.e., T condi ion) and when combined wi h isual ins uc ions (i.e., VT condi ion). I seems ha he pa ame e s (i.e., du a ion, ib a ion equency, ampli ude, and loca ion) o he ac ile s imulus we e applicable because nobody missed any ac ile s imuli. In addi ion, he indings in he subjec i e a ings and pos expe imen al in e iews showed a o able assessmen s o ac ile ins uc ions. In he in e iews s imulus ampli ude and du a ion we e conside ed as app op ia e almos unanimously. The empo al synch ony o he isual and ac ile ins uc ion in VT condi ion, howe e , pola ized he opinions, as mo e han hal o he pa icipan s hough ha he ib a ion came oo la e wi h espec o knee li shown in he ideo. The expe ienced asynch ony was likely due o he ela- i ely obus accele a ion h eshold causing he 203 ms delay and he 16 ms onse la ency o he ib a ion ac ua o , which oge he esul ed in a minimum o abou 220 ms delay om he ins uc o ’s ini ial leg mo emen o he onse o he ac iles imulusin hepa icipan ’sleg.Inconsequence, he ins uc o ’s leg mo emen was al eady isible in he ideo when he ac ile s imulus s a ed. The delay can also explain why he mean RT (i.e., ime o each he peak leg accele a ion) in T condi ion was 158.2 and 182.5 ms slowe as compa ed o V and VT condi ions, espec i ely. I he ac ile s imulus onse had been c ea ed in exac synch ony wi h he ins uc o ’s ini ial leg mo emen , he RTs in T and VT condi ions could, in ac , ha e been abou 40– 60 ms as e han hose in V condi ion. This conclusion is based on sub ac ion o he lag caused by he echnical imple- men a ion om he mean RT o T condi ion and suppo ed by ea lie indings showing abou 30–40 ms sho e RTs o ac ile han isual s imuli (e.g., [3, 5, 21]). Following his, ac ile ins uc ions would seem o ha e he po en ial o enable e en as e knee li eac ions han con en ionally used isual ins uc ion p o ided ha he onse o he ac ile s imulus couldbe eliablysi ua ed o heini ialphaseo heins uc o ’s leg mo emen . Howe e , he aim o he p esen s udy was o assess he unc ionali y o ac ile ins uc ion sys em in a ealis ic exe cise si ua ion, whe e a obus -enough onse me hod would be equi ed o p e en he ins uc o om gi ing alse-posi i e ins uc ion s imuli esul ing, o exam- ple, om mino o unin en ional leg mo emen s be ween he epe i ions. Thus, lowe ing he accele a ion h eshold o diminish he onse delay would equi e u he s udies o ind an accep able ade-o be ween he speed and accu acy o p o iding he ac ile ins uc ions. Ins uc ionmodali yalsohadane ec o heaccele a ion magni ude o he leg mo emen s. VT ins uc ion esul ed in signi ican ly highe peak accele a ion han T ins uc ion. Despi e he ac ha he mean peak accele a ion was he highes in V condi ion and he lowes in T condi ion, he di e ence did no each s a is ical signi icance. As i can be seen in he SEM e o ba s o Figu e 3, his was due o he la ge de ia ion o accele a ion magni ude in V condi ion compa ed o hose ound in T and VT condi ions. This esul may indica e ha ac ile s imula ion s abilized he accele a ion o leg mo emen and enabled mo e consis en epe i ions. Ra ings o he pleasan ness, easiness, and in e es o he exe cise ask we e clea ly posi i e in each modali y condi ion which indica es ha ac ile ins uc ion channel was well accep ed in he cu en con ex along wi h con en ionally used isual ins uc ions bo h unimodally and when com- binedwi h isualins uc ionmodali y.Thiswasdespi e he ac ha hepa icipan swe e ullycapableo ollowing isual ins uc ions and, he e o e, did no necessa ily need ac ile ins uc ions in his ype o ac i i y. Mo eo e , ac ile s imula- ion p o ided in T and VT condi ions inc eased signi ican ly he pa icipan s’ in e es o he ask when compa ed o V condi ion. This inding sugges s ha such a de ice may be o in e es o exe cise s also in eal aining si ua ions, which in u n would be impo an in he ligh o ea lie s udies showing ha in e es owa ds he aining is a cen al ac o in inc easing he mo i a ion and exe cise adhe ence (e.g., [22]). 3. S udy 2: Use Expe ience and Accep ance o a Vib o ac ile Exe cise De ice among Elde ly Pa icipan s 3.1. In oduc ion. In a ollow-up use s udy, he wea able ac ile de ice used in S udy 1 was i e a ed u he and edesigned obeusedinag oupexe cisesi ua ionwi h elde ly pa icipan s. This app oach was chosen based on a ecen end ha has been shi ing inc easingly om one- o-one pe sonal aining o g oup exe cise and aining p og ams [23]. Supe ised g oup exe cise is o en a o ed in public and ins i u ional heal hca e, because i is clea ly mo e ime-e ec i e and cos -e ec i e in compa ison o pe sonal aining and i has been ound o be bene icial in p omo ing no only physical i ness [24] bu also social and men al well- being and o e all quali y o li e [25]. Anew e siono hede iceallowedanins uc o o ac i a e an exe cise ’s legs wi h ac ile s imula ion au o- ma ically and in eal ime (i.e., in conjunc ion wi h he ins uc o ’s demons a ion mo emen s) ia a wi eless link. The main goal o his use s udy was o e alua e accep ance and use expe ience (UX) o he ac ile exe cise de ice in a con ex o ec ea ional g oup exe cise among a po en ial a ge popula ion.Theapp oachhad h eemain esea ch ques ions: (1) How do elde ly pa icipan s expe ience he use o a ac ilede iceinag oupexe cisecon ex ? (2) How does i di e om con en ional session wi hou ac ile ins uc ions? Ad ances in Human-Compu e In e ac ion 7 (a) (b) Figu e 5: (a) Wea able pa s o he exe cise de ice and (b) hei a achmen loca ions. (3) Do he elde ly pa icipan s accep he use o ac ile s imula ion in a g oup exe cise con ex ? The use s udy consis ed o exe cise sessions bo h wi h and wi hou he de ice, UX ques ionnai es, and in e iews inqui ing he exe cise s’ as well as he ins uc o s’ imp es- sions, expe ience, and accep ance o using he de ice. 3.2. Me hods 3.2.1. Pa icipan s. Pa icipan s and p emises o he s udy we e p o ided by a se ice cen e o elde ly people. The a ge ed use g oup consis ed o ela i ely heal hy elde ly olun ee s wi hou any majo cogni i e disabili ies o ensu e ha hey we e ully able o answe ques ionnai es and ake pa in an in e iew. They we e also equi ed o be able o ake pa in he physical exe cise asks, including knee li ing used in S udy 1. Two male and six emale exe cise s and wo emale ins uc o s ook pa in he s udy a e signing in o med consen o ms. The exe cise s we e be ween he ages o 73 and 92 yea s (M =83and SD =7). The ins uc o s we e 27 and 39 yea s old. One o he ins uc o s had a o mal educa ion in physical he apy. The s udy consis ed o wo wi hin-subjec s exe cise g oups, each wi h one ins uc o and ou exe cise s. The s udy was app o ed by he local esea ch e hics commi ee. 3.2.2. Appa a us. The ac ile de ice consis ed o wo elas ic leg bands and a bel bag (Figu e 5). Bo h he leg bands included a ac ile ac ua o and accele ome e , while he bel bag con ained an A duino boa d and a 9 V ba e y. The componen s in he leg bands we e connec ed o he boa d ia la cables. The s udy was done wi h wo iden ical de ices. Onede icewo nbyanins uc o unc ionedina“mas e ” mode and he o he wo n by an exe cise was se in a “sla e” mode. The de ices communica ed ia Blue oo h wi h a PC ac ing as hos and ou ing he communica ion be ween he de ices. A mo e de ailed desc ip ion o he sys em’s ope a ion p inciple is gi en in [26]. The majo change om he use s’ iew poin was he ac ha , con a y o he de ice used in S udy 1, leg bands we e a ached o bo h limbs. In addi ion, he ib a ion ac ua o ype was eplaced wi h Sola bo ics VPM2 Vib a ing Disk Mo o due o i s closed s uc u e. The e was a mechanical delay o 60 ms, on a e age, measu ed om heonse o heapplied ol age(3V) o hebeginning o he ac ua ion om he mo o using a GW Ins ek GDS- 2104A oscilloscope. The accele ome e s we e eloca ed abo e he ac ua o s in he do sal side o he legs. Toge he hese e isions enabled a mo e compac design o he leg bands. 3.2.3. Use Expe ience Ques ionnai e. The UX ques ionnai e was used o s udying he esea ch ques ions 1 and 2. The ques ionnai e had wo a ian s: one o e alua ing he exe cise expe ience while wea ing he de ice and ano he wi hou i . They had nea ly iden ical scales and dis inc i e ins uc ions on wha o e alua e. The ques ionnai es we e based on UX model by Hassenzahl [27]. The seman ic di e en ials we e selec ed om wo di e en ques ionnai es: A akDi 2 [28] and A ak-Wo k [29]. A akDi 2 ques- ionnai e consis s o se en-poin seman ic di e en ial scales, which a e di ided in o p agma ic quali ies (PQ), hedonic quali ies o s imula ion (HQS) and iden i ica ion (HQI), and a ac i eness (ATT). The A ak-Wo k adds a ask and goal achie emen (TGW) quali y, which is essen ial in wo k- ela ed con ex s. The p agma ic scales a e close o he adi ional de ini ion o usabili y (use ulness, u ili y, and usabili y). I a p oduc is s imula ing, i p o ides possibili ies o gain new knowledge and sel -de elopmen , while iden i- ica ion can be explained as social sel -exp ession h ough physical objec s and possessions. Th ee de ice-cen ic scales we e omi ed om he ques ionnai e wi hou he de ice: imp ac ical, p ac ical; makes exe cise ha de , makes exe cise easie ; and slows down he exe cise, speeds up he exe cise. A ew scales we e selec ed o each o he i e hemes o keep he ques ionnai e leng h on one page. Mo eo e , some scales had obele ou as heywe ep esumed obeinapplicable o his s udy due o he con ex and na u e o he de ice. The selec ed scales o each quali y a e p esen ed in Table 1. 3.2.4. In e iew. The g oup in e iews concen a ed on qual- i a i e in o ma ion on he pa icipan s’ gene al imp essions o ac ile ins uc ions and he de ice. The in e iews we e semis uc u ed and s a ed wi h ee- o m desc ip ion o he pa icipan s’ imp essions o he use expe ience. This was ollowed by a discussion abou he exe cise wi h and wi hou 8Ad ances in Human-Compu e In e ac ion Table 1: Quali ies and scales used in he UX ques ionnai es. Quali y Scale ID P agma ic Complex, simple PQ 2 Imp ac ical, p ac ical PQ 3 Challenging, e o less PQ 4 Con using, clea PQ 6 Hedonic: s imula ion Con en ional, o iginal HQS 1 Unimagina i e, c ea i e HQS 2 Dull, abso bing HQS 5 Hedonic: iden i ica ion Unp o essional, p o essional HQI 2 Poo quali y, high quali y HQI 4 Noninclusi e-Inclusi e HQI 5 Sepa a es me om people, b ings me close o people HQI 6 A ac i eness Unpleasan , pleasan ATT 1 Una ac i e, a ac i e ATT 3 Bad, good ATT 5 Discou aging, mo i a ing ATT 7 Task and goal achie emen Makes exe cise ha de , makes exe cise easie TGW 1 Slows down he exe cise, speeds up he exe cise TGW 4 Di icul ocon ol,easy ocon ol TGW 7 he de ice, accep ance, and o he ideas o he de ice and applica ions bo h he exe cise s and ins uc o s migh ha e. 3.2.5. P ocedu e. The exe cise s’ ask was o ollow and epea heexe ciseguidedby heins uc o .Theexe ciseconsis ed o mo ing legs in sea ed and s anding posi ions, including a ious leg li ing asks, s a iona y ma ching, and dancing. The whole exe cise was done wi h backg ound music. The sessions we e designed and ca ied ou by he ins uc o s as no mally as possible bu wi h emphasizing on legs and lowe pa o he body. The exe cise sessions began wi h an in oduc ion o hepu poseo heuse s udyandab ie explana ion o he de ice. The exe cise s we e old ha he ins uc o ’s de ice sen ac ile ins uc ions o he exe cise ’s de ice as an addi ional signal o s a pe o ming he exe cise mo emen s. Tac ile s imuli we e p oduced concu en ly in bo h he ins uc o ’s de ice and he exe cise ’s de ice, hus enabling he ins uc o o con i m a success ul sending o a ac ile ins uc ion. Due o he limi ed amoun o de ices, he exe cise ’s de ice was o a ed be ween he ou exe cise s in he g oup. E e y 15 minu es he exe cise was paused o swi ch he de ice o a nex exe cise . As a esul , each exe cise go o wea and exe cise wi h he de ice o abou 15 minu es du ing he1-hou session.Theins uc o wo e heo he de ice o he whole exe cise session. Hal way h ough he session, he exe cise s illed he UX ques ionnai es e alua ing he subjec i e expe ience o exe cising in he g oup. The i s wo exe cise s o y he ac ile de ice illed he ques ionnai e “exe cise wi h he de ice,” and he o he wo illed he ques- ionnai e “exe cise wi hou he de ice.” This was epea ed a heendo hesessionbu his ime ice e sa.A heend, each exe cise in he g oup e alua ed he exe cise wi h and wi hou wea ing he de ice. The ins uc o s in bo h g oups e alua ed he use expe ience o exe cising wi h he de ice a e he session. Following he session, he g oup (including he ins uc o ) ook pa in 30-minu e-long in e iew. 3.3. Resul s 3.3.1. Use Expe ience Ques ionnai e. The exe cise s’ a ings gi en o he UX ques ionnai e (Figu e 6(a)) showed ha he exe cise bo h wi hou and wi h he de ice was expe i- enced mainly in a posi i e way. They e alua ed he exe cise wi h he de ice o be mo e mo i a ing han ha wi hou he de ice (ATT 7), bu o he wise he SEM anges o he a ings we e o e lapping be ween he wo exe cise si ua ions indica ing po en ially nonsigni ican di e ences. Ra ings o he h ee i ems e lec ing he de ice use si ua ion only we e also posi i e; he exe cise s conside ed ha he de ice was mo e p ac ical han imp ac ical (PQ 3), made he exe cise somewha easie (TGW 1), and speeded up he exe cise (TGW 4). In e es ingly, he ins uc o s’ a ings o he de ice in Figu e 6(b) we e mainly ou side he SEM ange o hose gi en by he exe cise s shown in Figu e 6(a). One o bo h o he ins uc o s a ed he de ice mo e posi i ely han he exe cise s ega ding 8 i ems (i.e., PQ 2, PQ 6, HQS 1, HQS 2, HQI 2, HQI 5, HQI 6, and ATT 7) and mo e nega i ely ega ding 10 i ems (i.e., PQ 3, PQ 4, HQI 4, ATT 1, ATT 3, ATT 5, ATT 7, TGW 1, TGW 4, and TGW 7). Consensus was ound only o i em HQS 5; he exe cise wi h he de ice was ound equally abso bing by he exe cise s and he wo ins uc o s. Howe e , no s a is ical analysis was pe o med o he ques ionnai e da a due o low numbe o he pa icipan s. 3.3.2. In e iew: Exe cise Expe ience wi h and wi hou he De ice. Exe cise s’ expec a ions o he exe cise wi h he de ice we e summa ized in o h ee g oups: (1) no expec- a ions, (2) sligh ly ne ous o a aid, and (3) in e es ed. Majo i y o he exe cise s we e sligh ly ne ous o a aid o ying a de ice hey did no ha e any expe ience wi h. Howe e , a e he exe cise s ied he de ice, many o he expec a ions we e changed in a posi i e way as exempli ied by ollowing quo a ions: “I was ne ous abou his hing we we e supposed o wea . Then I saw how simple i was and he ea anished,” an exe cise said. “A i s I was ne ous and su p ised. I didn’ expec i o be his easy,” an exe cise said. On he o he hand, one exe cise commen ed ha his/he expec a ions did no change, and ano he one had expec ed much s onge s imula ion. Fi s imp essions o exe cise wi h he ac ile de ice, o bo h he exe cise s and ins uc o s, we e posi i e and e en su p ising. These consis ed o posi i e and neu al desc ip- ions, such as nice, pleasan , easy, un, o dina y, di e en (i.e., Ad ances in Human-Compu e In e ac ion 9 Simple P ac ical E o less Clea O iginal C ea i e Abso bing P o essional High quali y Inclusi e B ings me close o people Pleasan A ac i e Good Mo i a ing Makes exe cise easie Speeds up exe cise Easy o con ol [PQ_2] Complex [PQ_4] Challenging [PQ_6] Con using [HQS_1] Con en ional [HQS_2] Unimagina i e [HQS_5] Dull [HQI_2] Unp o essional [HQI_4] Poo quali y [HQI_5] Noninclusi e [HQI_6] Sepa a es me om people [ATT_1] Unpleasan [ATT_3] Una ac i e [ATT_5] Bad [ATT_7] Discou aging [TGW_7] Di icul o con ol ∗)[PQ_3] Imp ac ical ∗)[TGW_1] Makes exe cise ha de ∗)[TGW_4] Slows down exe cise Exe cise s wi hou de ice Exe cise s wi h de ice −2 −1 0123 −3 Mean a ing (a) Simple P ac ical E o less Clea O iginal C ea i e Abso bing P o essional High quali y Inclusi e B ings me close o people Pleasan A ac i e Good Mo i a ing Makes exe cise easie Speeds up exe cise Easy o con ol Complex Imp ac ical Challenging Con using Con en ional Dull Unimagina i e Unp o essional Poo quali y Noninclusi e Sepa a es me om people Unpleasan Una ac i e Bad Discou aging Makes exe cise ha de Slows down exe cise Di icul o con ol Ins uc o 1 wi h de ice Ins uc o 2 wi h de ice 1023 −2 −1−3 Mean a ing (b) Figu e 6: Mean a ings o he UX ques ionnai es on 7-poin seman ic di e en ial scale gi en by (a) he exe cise s and (b) he ins uc o s. I ems labeled wi h ∗)in (a) we e excluded om he “exe cise wi hou he de ice” ques ionnai e. E o ba s in (a) ep esen SEMs. some hing new), and e o less. The emphasis on he easiness was equen in he commen s. Once he de ice was pu on, he exe cise s did no need o concen a e on ope a ing he de ice. The majo i y o he exe cise s also quickly unde s ood he pu pose o he de ice wi h a e y sho in oduc ion. Two o he exe cise s needed u he ins uc ions. One exe cise had majo di icul ies in ecognizing he ac ile s imula ion and ano he was so concen a ing on ollowing he ac ile ins uc ions ha she o go o pay a en ion o he ac ual exe cise. The ac ile s imuli and he o m- ac o o he wea - able de ice we e com o able and pleasan acco ding o he exe cise s. Howe e , one o he ins uc o s said ha wea ing he de ice o an hou became uncom o able because o he equen ac ile s imula ion.