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Mechatronic system usability evaluation

Abstract

This study aimed to refine and validate a Mechatronic System Usability Evaluation (MSUE) questionnaire. A total of 626 users were selected using random sampling, from the area of West Thessaloniki, Greece. The validity of the questionnaire were tested with the content and construction validity method. The reliability of the MSUE questionnaire instrument were tested using test-retest and internal consistency method. Factor analysis resulted a 25 questions questionnaire divided into five axes of, namely efficiency, effectiveness, Satisfaction, ease of use, and ease of learn. The Cronbach Alpha coefficient for the entire scale was 0.819. The questionnaire was tested and the results was shown a suitable instrument to measure usability on mechatronic systems

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Mechatronic system usability evaluation

Author: Tsagaris, Apostolos
Publisher: OmniaScience
Year: 2023
DOI: 10.3926/jotse.1349
Source: https://upcommons.upc.edu/bitstream/2117/387484/1/1349-6787-1-PB.pdf
Jou nal o Technology and Science Educa ion
JOTSE, 2023 – 13(1): 65-72 – Online ISSN: 2013-6374 – P in ISSN: 2014-5349
h ps://doi.o g/10.3926/jo se.1349
MECHATRONIC SYSTEM USABILITY EVALUATION
Apos olos Tsaga is
In e na ional Hellenic Uni e si y (G eece)
sag[email p o ec ed]
Recei ed June 2021
Accep ed July 2022
Abs ac
This s udy aimed o e ine and alida e a Mecha onic Sys em Usabili y E alua ion (MSUE) ques ionnai e.
A o al o 626 use s we e selec ed using andom sampling, om he a ea o Wes Thessaloniki, G eece.
The alidi y o he ques ionnai e we e es ed wi h he con en and cons uc ion alidi y me hod. The
eliabili y o he MSUE ques ionnai e ins umen we e es ed using es - e es and in e nal consis ency
me hod. Fac o analysis esul ed a 25 ques ions ques ionnai e di ided in o i e axes o , namely e iciency,
e ec i eness, Sa is ac ion, ease o use, and ease o lea n. The C onbach Alpha coe icien o he en i e
scale was 0.819. The ques ionnai e was es ed and he esul s was shown a sui able ins umen o measu e
usabili y on mecha onic sys ems.
Keywo ds –
Usabili y, Mecha onic sys ems, E iciency, Sa is ac ion, E ec i eness, Easy o use.
To ci e his a icle:
Tsaga is, A. (2023). Mecha onic sys em usabili y e alua ion. Jou nal o Technology and Science Educa ion,
13(1), 65-72. h ps://doi.o g/10.3926/jo se.1349
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1. In oduc ion
The pu pose o he p esen esea ch is o c ea e and alida e a weigh ed ques ionnai e ha measu es he
usabili y o he in e ac ion wi h mecha onic sys ems. Mecha onics is he in eg a ion o mechanical,
elec ical, and compu e echnologies in o he design o complex p oduc s (Figu e 1). I is a combina ion
o p ecision mechanical enginee ing, elec onic, con ol enginee ing and compu e s o he in elligen
con ol o machines. Is he p ocess whe e an in eg a ed de elopmen o he enginee ing design is
pu chased: The o m o mode n au oma ion sys ems.
Mecha onics sys em is any elec omechanical sys em ha combines elemen s om elec onic de ices and
he con ol is done wi h he help o so wa e. I usually includes a mic ocon olle , senso s, ac ua o s and
he necessa y so wa e o con ol hem. Many imes i has a specially designed in e ace o con ol ei he
h ough a PC o h ough special consoles. The mic ocon olle unde akes he p ocessing o he signals
collec ed by he a ious senso s. The collec ion and he acquisi ion o he signals h ough he senso s is a
key pa o he sys em. They a e hen p ocessed o gi e he app op ia e in o ma ion o he sys em by
pe o ming a ious con ol ac ions.
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Figu e 1. Mecha onic diag am
A mecha onic sys em is use ul when i has a high deg ee o usabili y. When he in e ace is no easy o
use, he use does no ocus on he con en o he in e ac ion, bu on he way o in e ac wi h he sys em
and ha is no good o he esul o he p ocess (Luo, Liu, Kuo & Yuan, 2014).
Sea ching in he li e a u e one will ind nume ous de ini ions o usabili y. As is men ioned in a ious
esea ch and in in e na ional s anda ds, usabili y e e s o e iciency and e ec i eness in achie ing speci ic
goals and use sa is ac ion (Cha ziky kou, 2020). No e ha he de ini ions o usabili y mos o en e e o
Human Compu e In e ac ion o Human Robo ic In e ac ion o Human Machine In e ac ion. I is he
i s ime speaking o Human Mecha onic Sys em In e ac ion. This can be done wi h a combina ion o
he abo e echniques, because mecha onic sys ems a e a combina ion o he abo e a eas.
Acco ding o a ious de ini ions:
“Usabili y is he deg ee o which a p oduc o sys em can be used by speci ic use s o achie e speci ic goals wi h
e iciency, e ec i eness and sa is ac ion in a pa icula con ex o use” (ISO 9241)
The main dimensions o usabili y examined in he li e a u e o in e ac ion wi h compu e s, machines o
obo ics include ease o lea ning (Nielsen, 1990; Guilleme e, 1995), ease o use (Nielsen, 1990;
Guilleme e, 1995), u ili y (Guilleme e, 1995), use sa is ac ion (Nielsen, 1993), e iciency (Pa sazadeh e
al., 2018) and e iciency (Pa sazadeh, Ali, Meh an & Teh ani, 2018).
Acco ding o ISO 9241 (E gonomics o Human-Sys em In e ac ion), usabili y is de ined as “ he ex en o
which a p oduc o sys em can be used by designa ed use s o achie e speci ic goals wi h e iciency,
e ec i eness and sa is ac ion, in a speci ic con ex o use” (ISO 9241-210). The indi idual c i e ia
men ioned in i , a e analyzed in he ease o lea ning, in he high e iciency o execu ion, in he low
equency o use e o s, in he ease o e aining he knowledge o i s use and in he subjec i e use
sa is ac ion (A ou is, Ka sanos, Tselios & Mous akas, 2015).
Dix, Finlay, Abowd and Beale (2004) in hei book “Human-Compu e In e ac ion” (3 d edi ion) conside
usabili y o be a complex concep and analyze i in ease o lea ning, lexibili y, and obus ness
(Kou sambasis, 2015). Shneide man and Pleasan (2009), in hei book “Designing he Use In e ace”
(5 h edi ion) de ine usabili y as he sum o he ollowing measu es (o me ics): ime o lea n, speed o
pe o mance, a e o e o s by use s, e en ion o e ime and subjec i e sa is ac ion (Kou sambasis, 2015).
Acco ding o A ou is, he e alua ion o he usabili y o a sys em includes he analysis o he
cha ac e is ics o he sys em in ela ion o a ce ain con ex o use, he analysis o he in e ac ion p ocess
and he analysis o e iciency, e ec i eness and use sa is ac ion (A ou is e al., 2015).
Al hough he e a e many esea ch on he usabili y o human compu e in e ac ion, human machine
in e ac ion and human obo in e ac ion, he e is no men ion on he usabili y o human mecha onic
sys em in e ac ion, because he e m mecha onic sys em is new, is used he las yea s and combines
di e en kind o echnologies, which includes pa o echnologies men ioned abo e. This esea ch
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examines he “usabili y” o a mecha onic sys em in e ms o e iciency, e ec i eness, Sa is ac ion, ease
o use, and ease o lea n [8, 9, 10]. (A ou is e al., 2015; Kou sambasis, 2015; Lund, 2001).
The e ec i eness o a mecha onics sys em depends on he deg ee o which a sys em achie es i s goals.
Use e ec i eness is de ined as he accu acy and comple eness wi h which use s achie e hei goals using
he sys em. I e lec s he use 's abili y o use he sys em e ec i ely and is ela ed o his desi e o use i .
This ac o is in luenced by o he ac o s, such as he suppo and managemen o he sys em, he ease o
use o he sys em and he quali y o he se ices i p oduces. I is a powe ul ac o o sa is ac ion. In
o he wo ds, e ec i eness e e s o he ex en o which use s' objec i e goals a e me . The e m
e ec i eness is de ined as he p ope y, o abili y o deli e an expec ed esul . E iciency mainly conce ns
he in e nal unc ion o he in e ac ion and exp esses he esou ces consumed o achie e a esul . How
easily o di icul ly one can achie e he desi ed esul and how many esou ces will be consumed o
achie e his. The sa is ac ion conce ns he subjec i e eeling ha he use de i es om i s use. Ease o use
is he abili y o inexpe ienced use s o be able o use he sys em wi hou special knowledge. The in ui ion
o he sys em ha allows hem o make use o i wi hou being pa icula ly knowledgeable also plays an
impo an ole in achie ing his goal. Lea nabili y is he abili y o no ice use s o unde s and how o use
he sys em and how o ge an ini ial le el o good pe o mance. I includes he indi idual p ope ies:
p edic abili y, syn hesizabili y, amilia i y, gene alizabili y and consis ency (Kou sambasis, 2015).
The s uc u e o he pape includes he sec ion 2 wi h he me hodology o ques ionnai e design, he
sec ion 3 wi h he ques ionnai e de elopmen , sec ion 4 wi h he e alua ion o he sec ion 5 wi h he
cons uc ion o he ques ionnai e and inally he conclusions whe e he esea che summa izes he esul s
o he wo k desc ibed in he pape .
2. Me hodology o Ques ionnai e Design
The de elopmen o he ques ionnai e includes se e al s ages. Αs desc ibed in igu e 2 includes he design
o he ques ionnai e, he de elopmen o he ques ionnai e, he e alua ion o he ques ionnai e and he
inal cons uc ion o he ques ionnai e (Figu e 2).
Figu e 2. Ques ionnai e De elopmen Me hodology
Ques ionnai e weigh ing includes pilo applica ion, alida ion and eliabili y check and ela ed
adjus men s / imp o emen s. I is necessa y o conduc a pilo s udy wi h a ela i ely small numbe o
pa icipan s (app oxima ely 30-50), in o de o make a p elimina y assessmen o he alidi y and eliabili y
o he ques ionnai e and o co ec as many e o s and omissions as possible. The co ec ed ques ionnai e
is hen subjec ed o a inal alidi y and eliabili y es , h ough a new pilo s udy.
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Validi y is he ideli y wi h which he a ibu e we wan o measu e coun s, while eliabili y is he accu acy
wi h which a ques ionnai e measu es an a ibu e. The alidi y o a measu emen scale, in simple wo ds,
e e s o he deg ee o which wha i was made o measu e ac ually coun s. The e a e many ypes o
alidi y. In he p esen s udy, con en alidi y and cons uc alidi y will be examined (Galanis, 2013).
Con en alidi y e e s o he ex en o which a scale o measu emen measu es he o al o he eques o
which i has been made. Du ing he p ocess o assessing he alidi y o he con en , a eco d is made o
he da a ela ed o he speci ic concep examined in a ques ion. F om all hese da a, he mos ele an ones
a e selec ed. The au ho s o he ques ionnai e ask a p e-selec ed eam o expe s o judge each i em o he
ques ionnai e as “necessa y”, “use ul, bu no necessa y” o “necessa y”, and hen calcula e he “Con en
Validi y Ra io” o each i em in he ques ionnai e, acco ding o he ollowing equali y Validi y is he ideli y
wi h which he a ibu e we wan o measu e coun s, while eliabili y is he accu acy wi h which a
ques ionnai e measu es an a ibu e.
(1)
In he equa ion, N o an i em (eg ques ion) symbolizes he o al numbe o expe s who judge he
ques ionnai e i ems and ne symbolizes he numbe o expe s who cha ac e ize he speci ic i em in he
ques ionnai e as “necessa y”. When he con en alidi y a io o an elemen o a ques ionnai e is equal o 0,
hen hal o he expe s conside his elemen as “necessa y”. When he con en alidi y a io o an i em in a
ques ionnai e is > 0, hen mo e han hal o he expe s conside his i em o be “ equi e”. When he con en
alidi y a io o an i em in a ques ionnai e is <0, hen less han hal o he expe s conside his i em o be
“ equi ed”. 10 expe s a e used in his esea ch. Acco ding o Galanis (2013) he minimum con en alidi y a io
ha an i em mus ha e in o de o be included in he ques ionnai e is 0.62 (Galanis, 2013).
Cons uc alidi y e e s o he deg ee o which a scale o measu emen accu a ely measu es he meaning
we ha e de ined as measu ing. I is o some ex en subjec i e and he e o e equi es a signi ican numbe
o s udies o be conduc ed in di e en coun ies, in di e en s udied popula ions and a di e en imes.
In he p esen esea ch, he con ol o he alidi y o a concep ual cons uc ion is achie ed by ac o
analysis (Pe ei a, Maia, Ma ques, Bos, Soa es, Gomes e al., 2008).
The eliabili y o , in o he wo ds, he accu acy o a ques ionnai e e e s o he s abili y o , in o he wo ds,
o he consis ency wi h which he ques ionnai e measu es he meaning o he a iable ha i claims o
measu e. Inc easing he eliabili y o a ques ionnai e means educing he andom e o . We mus keep in
mind ha eliabili y e e s o he esul s o measu ing a scale and no o he scale i sel . This means ha
eliabili y is in luenced by he subjec s o he esea ch ( o example by he esponden s) and by he
measu emen p o ocol. The e o e a scale can be eliable in one applica ion a ea and un eliable in ano he .
The e a e di e en ypes o eliabili y and i s e alua ion in his esea ch o check he eliabili y o epe i i e
measu emen s o con ol - es ( e es ) and he eliabili y o in e nal consis ency (in e nal consis ency). In he
eliabili y es wi h he me hod o epe i i e measu emen s ( es - e es ) we apply, a o he imes, he scale
wice o he same people, unde he same condi ions and inally we check he s a is ical co ela ion be ween
he wo sco es. Calcula e he coe icien (Pea son coe icien ) o es - e es .
In he con ol o eliabili y wi h he me hod o in e nal consis ency (in e nal consis ency) he
homogenei y o he ques ions o he scale is e alua ed. We apply he scale once because he answe s a e
no bina y bu mo e, we use C onbach's alpha. I he coe icien is <0.7 he in e nal consis ency eliabili y
is ques ionable, while i i is> 0.7 i is accep able. O cou se, he highe he eliabili y (Galanis, 2013).
3. Ques ionnai e De elopmen
The s udy was conduc ed in wo s ages conce ning he de elopmen o he s anda d esea ch ool and
da a collec ion. As he wo k aims o collec da a o he alida ion o he esea ch ool, da a we e collec ed
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om 626 mecha onics sys em use s. The use in ol ed an ATM wi hd awal sys em ha is known o many
people. Simila s udies ha e shown ha he sample size is sa is ac o y (Hai , Ande son, Ta ham, Black,
1998; Go such, 1983; Kline, 1979)
An ATM is simply a e minal wi h wo inpu de ices (ca d eade , keyboa d) and ou ou pu de ices
(mic ophone, moni o , eceip p in e , slo and cash dispense ). These de ices a e connec ed o he
p ocesso which is he hea o he ATM. All ATMs wo ldwide a e based on a cen al da abase sys em and
o his eason he ATM communica es wi h he cen al p ocesso (se e ) which in u n communica es
wi h he in e ne se ice p o ide (ISP) which is he b idge h ough which All ATMs a e a ailable o he
ca dholde . When he use wan s o make a ansac ion, he p o ides he necessa y in o ma ion h ough his
ca d, which is “ ead” by he buil -in ca d eade , and h ough he keyboa d, which selec s he ype o
se ice he needs. The ATM o wa ds his in o ma ion o he se e whe e i ans e s he use 's eques o
he espec i e bank. In case o wi hd awal o deposi , he bank sub ac s o adds he equi ed amoun
om he use and communica es wi h he ATM p ocesso o comple e he ansac ion h ough he
cash- ecei e .
To pilo he ques ionnai e, a pilo applica ion was implemen ed wi h a ela i ely small numbe o
pa icipan s (25 people) and a p elimina y assessmen o he alidi y and eliabili y o he ques ionnai e
was ca ied ou , co ec ing as many e o s and omissions as possible. Some co ec ions we e made
ega ding he comp ehension and co ec wo ding o he ques ions, he de e mina ion o he app op ia e
ime o comple e, he in e es o he esponden s and he o e all appea ance. The co ec ed ques ionnai e
was hen subjec ed o a inal alidi y and eliabili y check.
4. E alua ion o Ques ionnai e
Validi y included alidi y o con en and alidi y o concep ual cons uc ion. In Con en Validi y, a
p e-selec ed eam o 10 expe s was asked o a e each ques ion in he ques ionnai e as “necessa y”,
“use ul bu no necessa y” o “unnecessa y”. The “Con en Validi y Ra io” was hen calcula ed o each
ques ion acco ding o equa ion 1.
Ques ions answe ed as equi ed wi h a alidi y a io o > 0.62 we e e ained and inco po a ed in o he
p oposed usabili y assessmen ques ionnai e. Those deemed necessa y wi h a alidi y a io o <0.62, o
deemed use ul bu unnecessa y o unnecessa y we e disca ded and dele ed om he ool (Galanis, 2013).
In he nex phase, he alidi y o he concep ual cons uc ion was e alua ed. Fac o analysis was used
since he da a had many dimensions (scale 1-5). Applying ac o analysis o he da a o a ques ionnai e, 5
ac o s eme ged ha exp ess indi idual dimensions o he concep measu ed by he s udy ques ionnai e.
These ac o s eme ged based on he co ela ions p esen ed be ween he a ious elemen s o he
ques ionnai e. Thus, a b oad concep was simpli ied and g ouped in o indi idual pa s o make i clea e .
Table 1 below shows he ques ions and ac o s.
By examining each ac o i em acco ding o he model and li e a u e amewo k, i ems unde ac o 1 can
be placed unde he aspec o e iciency, ac o 2 unde he aspec o e ec i eness, ac o 3 unde he
aspec o Sa is ac ion, ac o 4 unde he aspec o ease o use and ac o 5 unde ease o lea n. I ems
loaded om each o he i e componen s ha e s ong, clea , and concep ual links.
In o de o analyse he alid i ems o each componen , a Kaise –Meye –Olkin (KMO) es and Ba le ’s
es o sphe ici y ha e been ca ied ou . Table 2 shows ha he KMO es esul ed in a alue o 0.916.
This alue exceeded he ecommended alue o 0.6 (Kaise , 1970; Kaise , 1974), indica ing ha he
sample was adequa e o es he ac o analysis.
The es - e es me hod was used o check he eliabili y. Thus, he s abili y o he answe s was e alua ed.
The same scale was applied wi h a ime di e ence o 15 days o he same indi iduals (20 indi iduals)
unde he same condi ions and he s a is ical co ela ion be ween he alues o he esponses was checked.
The pea son coe icien calcula ed was 0.923 which means a e y la ge co ela ion.
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Ques ions
Fac o s
1 2 3 4 5
Q1 The design o in e ac ion is simple wi h he essen ials. 0.847
Q2 The esponse speed o he sys em is sa is ac o y. 0.783
Q3 The execu e o he command is accu a ely. 0.821
Q4 The In e ac ion is comple e. 0.904
Q5 I wo ks as expec ed. 0.791
Q6 The gi en in o ma ion by he in e ace is sa is ac o y. 0.837
Q7 The in e ac ion is easy. 0.868
Q8 A wide ange o commands is co e ed. 0.793
Q9 The e is eedom o mo emen by he use . 0.862
Q10 The change o command is easy. 0.848
Q11 The e is lexibili y in in e ac ion. 0.786
Q12 The use p o ides sa is ac ion. 0.846
Q13 I is lexible in he choice o mo emen s. 0.831
Q14 In e ac ion is no a ec ed by en i onmen al condi ions. 0.871
Q15 The equipmen does no make mo emen s di icul . 0.823
Q16 Ope a ing he sys em is no edious. 0.799
Q17 Commands a e easy o emembe . 0.841
Q18 I is easy o use. 0.787
Q19 I is no edious o use. 0.773
Q20 No mis akes a e made du ing he in e ac ion. 0.826
Q21 I lea ned o use i quickly. 0.707
Q22 I easily emembe how o use i . 0.841
Q23 I quickly became a capable use . 0.785
Q24 I is easy o lea n. 0.837
Q25 I has no di icul unc ions. 0.773
Table 1. P incipal Componen Analysis
Tes Value
Kaise -Meye -Olkin Adequacy Sampling Measu e 0.916
Ba le ’s Tes o Sphe ici y
App ox. Chi-Squa e 5135.417
d 190
Sig. .000
Table 2. Kaise –Meye –Olkin (KMO) and Ba le ’s es .
Ques ions Fac o C onbach Alpha
Q1 - Q5 E iciency 0.829
Q6 - Q9 E ec i eness 0.840
Q10 - Q13 Sa is ac ion 0.828
Q14 - Q20 Ease o Use 0.817
Q21 - Q25 Ease o Lea n 0.789
Table 3. C onbach Alpha
The in e nal consis ency eliabili y was hen checked by calcula ing he C onbach alpha coe icien . The
coe icien was calcula ed a 0.819 o he whole ques ionnai e, while o each axis sepa a ely he
coe icien alues a e shown in Table 3.
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In all cases we see ha we ha e alues g ea e han 0.78 and in some alues hey each up o 0.84. This
means ha he ques ions ha e a e y high in e nal cohe ence bo h in each axis and in he o e all
ques ionnai e.
As can be seen om he analysis o he alidi y and eliabili y o he ques ionnai e, i can be concluded
ha is a ool ha can be used o measu e he usabili y o he in e ac ion.
5. Ques ionnai e Cons uc ion
The ques ionnai e s a s wi h a epo on he de ails o he su ey. I consis s o wo pa s, one e e ing
o he gene al in o ma ion o he pa icipan s and he o he o he de ails o he usabili y assessmen .
In he gene al ques ions he pa icipan s we e asked abou hei gende , age and educa ional le el. These
da a a e c ucial in o ma ion o he esul s o he esea ch, hus iden i ying he independen a iables o
he esea ch. The second pa ques ions e e o he de ails o he e alua ion o he usabili y o
mecha onic sys ems di ided in o he 5 axes analyzed abo e. The ques ionnai e was cons uc ed using a
i e-poin Like scale anging om 1 (s ongly disag ee) o 5 (s ongly ag ee).
The ques ions Q1-Q5 e e s o E iciency and Q6-Q9 o he E ec i eness. The Q10-Q13 e e s o he
Sa is ac ion, while he ques ions Q14-Q20 e e s o he Ease o Use. Finally he ques ions Q21-Q25 e e s
o Ease o Lea n.
6. Conclusions
This pape p esen s he cons uc ion and es ing o a ques ionnai e ha can be used o assess usabili y in
in e ac ion wi h mecha onic sys ems. Combining e iciency, e ec i eness, ease o use, ease o lea ning
and sa is ac ion, he ques ionnai e was buil o de ec he o e all usabili y o a sys em. All checks on he
alidi y and eliabili y o he ques ionnai e we e pe o med and he indica o s showed ha i is an essen ial
ool o e alua ing usabili y. Fo he es we e used among he o he 626 use s and he alue o he
C onbach alpha coe icien was calcula ed a 0.819 gi en a e y high alidi y and eliabili y o he ool. As
u he wo k o he esea ch could be men ioned he applica ion o his ques ionnai e in he in e ac ion
wi h compu e in eg a ed sys ems, such p oduc ion lines, cons uc ion lines, obo ic assembly lines, e c. in
o de o op imize he in e ac ion wi h hem.
Decla a ion o Con lic ing In e es s
The au ho s decla ed no po en ial con lic s o in e es conce ning he esea ch, au ho ship, and/o
publica ion o his a icle.
Funding
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