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Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08
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Ergonomic Evaluation of the Angle of Abduction in Laptops
Environment
Imtiaz Ali Khan*
, Adil A, Khan S, and Imadullah S.
Department of Mechanical Engineering, Aligarh Muslim University, Aligarh (U.P.) 202002, India.
Abstract
Laptops in 21st
century are an integral part of every professional in vivid fields. Off late there has been
emergence of several ergonomic injuries such as repetitive strain injuries (RSIs) due to extensive usage of
laptops, which can be closely linked with applied force and postures. This study investigated the effect of
various angles of keyboard on the applied force and motor action plus response time while performing five
distinct tasks. On the basis of literature two different laptops were selected for performing different tasks. For
each case the three levels of platform angle were considered as 0°, 5°, and 10°. Male subjects were selected to
perform five distinct tasks for each platform angle for both laptops. The force applied (in milli-volts) and the
motor action plus response time (milli-seconds) were recorded using an oscilloscope. The data collected were
analyzed through ANOVA using MINITAB software. The abduction angle with the least mean response time
and applied force were considered as the best from ergonomics viewpoint. The ANOVA results showed that the
angle of abduction for both laptops (small and large) do have significant effect on applied force but not on motor
action plus response time. The analysis of results indicate that 10° angle of abduction in case of small laptops
should be applied to minimize musculoskeletal disorder and repetitive strain injuries.
Research relevance: This work suggests that those responsible for the function and operation of laptops would
have to redesign the system to reduce injuries, as far as musculoskeletal disorder, repetitive strain injuries and
other related problems are concerned. The present work can be quite useful for the system designers of
tomorrow.
Keywords: ANOVA, Laptops, Force applied, Motor action time, Response time, Abduction angle.
I. Introduction
Laptops are nowadays commonly used in a
variety of settings, such as at work, in education, and
for personal multimedia. When it comes to laptops,
the number of them in use has risen in India over the
last few years. Almost one-half of American adults
own a laptop computer. In contrast to desktop
computers, which are typically utilized in a seated
position, the portable nature of laptop computers
allows for a variety of postures during usage. Given
the popularity of the laptops, many researchers have
analyzed its usability, including comparing the
performance of operating tasks, different sized
laptops, different age groups, and the design
considerations for laptops. With the convenience of
laptops increasing frequency and duration of use, the
design characteristics of the laptops give rise to
concerns regarding their impact upon body
mechanics and the musculoskeletal system. The
nature of laptop use may facilitate the potential for
the development of the musculoskeletal symptoms.
With more and more people owning laptops and
spending greater amounts of time emailing, surfing
the net and e-reading, physiotherapists have seen a
significant increase in hand held device related
injuries.
The posture often assumed while using a laptop
is unnatural and can result in number of overuse and
posture-related aches and pains. The spine in not
designed to be held in awkward postures for long
periods of time, in such small area. It is important to
be aware of the risks associated with using the laptop
to take healthy steps and safety measures to avoid
potential injury. Many ergonomically designed
products are also used or recommended to treat or
prevent such disorders, and to treat pressure-
related chronic pain. One of the most prevalent types
of work-related injuries is musculoskeletal disorder.
Work-related musculoskeletal disorders (WMSD)
result in persistent pain, loss of functional capacity
and work disability, but their initial diagnosis is
difficult because they are mainly based on complaints
of pain and other symptoms. Cognitive ergonomics is
concerned with mental processes, such as perception,
memory, reasoning, and motor response, as they
affect interactions among humans and other elements
of a system.
Anthropometry is an important field used in
ergonomics. Ergonomists use anthropometric factors
such as angle of abduction to optimize human
interaction with equipment and workplace.
Anthropometry can be referred to as the measurement
of the human individual. An early tool of physical
RESEARCH ARTICLE OPEN ACCESS
Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08
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anthropology, it has been used for identification, for
the purpose of understanding human physical
variations, in palaeoanthropology and in various
attempts to correlate physical with racial and
psychological traits. Today anthropometry plays an
important role in industrial design, clothing design,
and architecture where statistical data about the
distribution of body dimensions in the population are
used to optimize products. Changes in lifestyles,
nutrition, and ethnic composition of populations lead
to changes in the distribution of body dimensions
(e.g. the obesity epidemic), and require regular
updating of anthropometric data collections. Today,
anthropometry is performed by several measuring
instruments like 3-D scanners, baropodographic
devices and neuro imaging.
Text entry is a fairly complex process, involving
visual, tactile, motion, memory, learning, and other
cognitive functions. Moreover, they belong to
different levels of cognitive processing. The process
of text entry is subject to the biomechanical
constraints of the hand. Whether perceptual and
cognitive concepts are suitable will dominantly affect
the user‟s final performance, such as the response
time and accuracy rate (Khan 2014a; Khan 2014b;
Khan; 2014c; Khan 2014d; Khan and Asghar 2011;
Khan and Asghar 2010). Therefore, if a new input
method is to be designed, ergonomically designed
operation and cognitive compatibility must be
emphasized. According to Fitts‟ law concerning
motion execution (Fitts, 1954), the keyboard layout
should be arranged so that a finger travels the
minimum distance necessary, allowing text entry
efficiency to be improved. Realizing that the
procedural memory has a subtle effect on users, many
researchers have employed the transfer effect of
learning to conduct relevant designs or studies
(Carey, 2001; Jacob and Brad, 2008; Liang and
Chang, 2009). Further, according to the findings
regarding the stimulus-response compatibility effect
(SRC effect), different hand postures will affect
encoding patterns, which will vary with the
relationship between visual stimulus and finger
reaction (Ehrenstein et al., 1989; Lyons et al., 2004;
Lyons et al., 2006). Input accuracy is critical to
usability of laptops because people frequently use
them for a variety of purposes such as personal
information organizers, communicators, business
appliances, and entertainment devices. High input
accuracy enables users to finish their tasks quickly
with few errors. Thumb length might affect users`
reach ability of the keys whereas users with large
thumbs might find it cumbersome keying in messages
via the tiny keys (Balakrishnan and Yeow, 2008).
Work-related Musculo-Skeletal Disorders (WMSDs)
result in considerable costs to industry annually
(Khan 2012). Various studies shows that risks of
WMSDs are associated with certain jobs and certain
work related factors compared with other population
groups not exposed to risk factors. It is necessary to
study repetitive exertions combined with tapping
force for wrist abduction angle. So, the present study
was designed to look at the effects of repetitive force
exertion for abducted wrist postures.
II. Problem formulation
On the basis of the literature reviewed, it can be
observed that majority of the people using laptop feel
discomfort irrespective of its size. In the past studies,
ergonomists studied different postures while using
laptop that are suitable as well as comfortable to fit
the body and the mind of the user. In this study, it
was observed that the angle of abduction and
different tasks performed while using the small and
large laptops are the important parameters that affect
the human performance in terms of response time and
the applied force. In this work two sets of studies
were undertaken on both (small and large size) the
laptops. Based upon surveys, three angles of
abductions 00
, 50
and 100
were considered for
developing an ergonomic database. The studies have
been formulated as follows:
In terms of null hypothesis, the problem could be
formulated as:
a. The angle given to the laptop base does not have
a significant effect on laptop users‟ performance
in terms of response time.
b. The angle given to the laptop base does not have
a significant effect on laptop users‟ performance
in terms of force applied.
c. The two laptop sizes do not have a significant
effect on laptop users‟ performance in terms of
response time.
d. The two laptop sizes do not have a significant
effect on laptop users‟ performance in terms of
force applied.
III. Methodology
The experimental hypothesis stated in section 2
was tested through a set of experimental
investigations. For conducting the investigations, an
experimental setup (figure 1) was designed which is
summarized as follows:
Experimental investigations were conducted in an
isolated environment. The light intensity level was
kept in the range of 85 lux. The setup comprised of
the following sub system:
a. Large Laptop (LL) (HP Pavilion g series, 15.6”)
b. Small Laptop (LL) ( Acer Aspire One ZE7
10.1”)
c. Mica plate with piezo-electric sensor attached
d. Oscilloscope
e. Wooden angle wedges
One of the important requirements for
conducting the experimental investigation was the
selection of subjects participating in the study. The
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present experimental investigation was carried out
with a group of 10 subjects of the same finger, wrist
and elbow lengths and the same age group. All the
subjects had prior experience with using a laptop.
The wooden wedges were used to give the angle to
the laptop base and thus variable wrist abduction
angles (figures 2 and 3). Performance of each subject
was recorded on the basis of response variables i.e.
force applied and motor action response time through
oscilloscope. Mica plate attached with piezoelectric
sensor was used to station the laptops for measuring
the human performance (figure 4) at different angle
of abductions provided through angle wooden
wedges.
Figure 1: Experimental setup
Figure 2: Wooden wedges for 50
wrist abduction
Figure 3: Wooden wedges for 100
wrist abduction
Figure 4: Oscilloscope readings showing force
applied on Y-axis and response time on X-axis
To evaluate the laptop users‟ performance in
context with the wrist abduction angle for both small
and large laptops, a set of experimental investigations
were carried out as follows:
a. The angle of the base of the laptop was varied by
changing the inclination of mica plate with the
help of wooden wedges.
b. The laptop was placed above the sensor point
connected to the mica plate.
c. The subjects were asked to keep their fingers at
the initial reference point i.e. „ctrl‟ key.
d. A pre-recorded voice signal „start‟ was given to
the subject to perform each task by moving the
forefinger from the reference point. The five
target keys for the respective five tasks were „P‟,
„Q‟, „Z‟, „?‟ and „G‟ respectively.
e. After completion of each task i.e. key press, the
force applied and motor action response time
was recorded through the oscilloscope.
f. The performance of each subject was recorded
separately at angle of abductions 00
, 50
and 100
at
five distant tasks for both small and large
laptops.
g. Each of the subjects was imparted instructions so
as to get complete familiarity with the tasks and
postures for using both small and large laptops.
The collected data through the experimental
observations were analyzed by analysis of variance
(ANOVA) using the MINITAB software and is
presented in the next section.
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IV. Experimentation and Results
Tables 1 through 6 presents the average force
applied in milli-volts and average motor action
response time in milli-seconds for large laptop (LL)
and small laptop (SL) at three wrist abduction angles
namely 00
, 50
and 100
respectively.
4.1 Large laptop
Table 1 -Experimental observations for 0o
angle of
abduction for five different tasks
Subject
Force applied
(mean) (in
milli-volts)
Motor action
response time
(mean) (in milli-
seconds)
1 240 382
2 312 408
3 536 352
4 444 380
5 476 432
6 536 444
7 304 400
8 420 444
9 336 448
10 328 444
Mean 393.2 413.4
Table 2 -Experimental observations for 5o
angle of
abduction for five different tasks
Subject Force applied
(mean)
( in milli-volts)
Motor action
response time (mean)
(in milli-seconds)
1 184 368
2 304 388
3 584 328
4 444 418
5 552 460
6 600 432
7 368 380
8 296 464
9 320 452
10 472 476
Mean 412.4 416.6
Table 3 -Experimental observations for 10o
angle of
abduction for five different tasks
Subject Force applied
(mean) (in
milli-volts)
Motor action
response time (mean)
(in milli-seconds)
1 272 404
2 584 404
3 624 356
4 360 388
5 496 440
6 424 520
7 256 364
8 472 436
9 296 450
10 504 312
Mean 428.8 407.4
4.2 Small laptop
Table 4 -Experimental observations for 0o
angle of
abduction for five different tasks
Subject Force applied
(mean) (in
milli-volts)
Motor action response
time (mean) (in milli-
seconds)
1 164 360
2 176 368
3 196 280
4 280 368
5 280 408
6 100 408
7 92 316
8 220 468
9 148 328
10 156 440
Mean 181.2 374.4
Table 5 -Experimental observations for 5o
angle of
abduction for five different tasks
Subject Force applied
(mean)
( in milli-volts)
Motor action
response time (mean)
(in milli-seconds)
1 116 360
2 212 368
3 352 336
4 140 356
5 328 436
6 160 316
7 120 324
8 100 412
9 276 380
10 234 400
Mean 203.8 368.8
Table 6 -Experimental observations for 10o
angle of
abduction for five different tasks
Subject Force applied
(mean)
( in milli-volts)
Motor action
response time (mean)
(in milli-seconds)
1 112 320
2 236 300
3 308 280
4 164 432
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5 200 456
6 156 540
7 116 348
8 120 372
9 152 384
10 236 388
Mean 180.0 382.0
Figures 5 through 8 presents bar graphs for mean
response time and mean applied force for two
experimental considerations interms of large and
small laptops.
Figure 5: Bar graph showing mean response time on
Y-axis for large laptop (LL) at angles of abductions
00
, 50
and 100
respectively
Figure 6: Bar graph showing mean applied force on
Y-axis for large laptop (LL) at angles of abductions
00
, 50
and 100
respectively
Figure 7: Bar graph showing mean response time on
Y-axis for small laptop (SL) at angles of abductions
00
, 50
and 100
respectively
Figure 8: Bar graph showing mean applied force on
Y-axis for small laptop (SL) at angles of abductions
00
, 50
and 100
respectively
Analysis of variance (ANOVA) was carried out
to know the significant effect of wrist abduction
angle for both the small and large laptops over force
applied and reaction time. For analysis, the force
applied and response time were the response
variables and six different conditions as given in
table 7 were considered. The conditions were for the
three abduction angles namely 00
, 50
and 100
. Further
ANOVA was applied for checking the significance of
the abduction angle with respect to the size of the
laptops used (table 7). Over here also, the force
applied and response time were the response
variables.
402
404
406
408
410
412
414
416
418
L L 0 L L 5 L L 10
370
380
390
400
410
420
430
L L 0 L L 5 L L 10
362
364
366
368
370
372
374
376
378
380
382
S L 0 S L 5 S L 10
165
170
175
180
185
190
195
200
205
S L 0 S L 5 S L 10
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Table 7 –Showing six conditions with three
abduction angles and two conditions with two types
of laptops with their degrees of freedom
N
Conditions
L L 0
L L 5
L L 10
S L 0
S L 5
S L 10
30
30
30
30
30
30
Laptops L L
S L
60
60
Table 8: ANOVA table for force applied at six
different conditions
Sum of
Squares
Degree of
freedom
Mean
Square
F Sig.
Between
Groups
Within
Groups
Total
756773
574127
1330899
5
54
59
151355
10632
14.24 .000
Significance level at 0.05
Table 8 shows the ANOVA result through
MINITAB software at six different conditions with
force applied as response variable. Through analysis,
the following conclusions are drawn:
(i) Null hypothesis has been rejected because the
aggregate does not have the same force applied
at the six different conditions considered (L L 00
,
L L 50
, L L 100
, S L 00
, S L 50
, S L 100
).
(ii) Null hypothesis has been rejected because Fov=
14.24 isgreater than [F0.05 (5, 54)] ; cv = 2.393
obtained from using the values of degree of
freedom (5, 54) [where ov = observed value and
cv = critical value].
(iii) Null hypothesis has been rejected because P-
value for F-value = 14.24 is found to be less than
the set significance level i.e. a = 0.05.
(iv) The above results indicate that the null
hypothesis was rejected and it was found that the
different wrist abduction angles for both small
and large laptops have a significant effect on the
human performance interms of the force
applied.
Table 9: ANOVA table for response time at six
different conditions
Source Sum of
Squares
Degree
of
freedom
Mean
Square
F Sig.
Factor
Error
Total
22296
161241
183537
5
54
59
4459
2986
1.49 0.207
Significance level at 0.05
Table 9 presents the ANOVA result through
MINITAB software at six different conditions with
response time as output variable. Through analysis,
the following conclusions are drawn:
(i) The aggregate does not have the same response
time at the six different conditions considered (L
L 00
, L L 50
, L L 100
, S L 00
, S L 50
, S L 100
).
(ii) Null hypothesis has been accepted because Fov=
1.49 is lesser than [F0.05 (5, 54)] cv = 2.393
obtained from using the values of degree of
freedom (5, 54) [where ov = observed value and
cv = critical value].
(iii) Null hypothesis has been accepted because P-
value for F-value = 1.49 is found to be greater
than the set significance level i.e. α = 0.05.
The above results indicate that the null
hypothesis was accepted and it was found that the
different wrist abduction angles for both small and
large laptops do not have significant effect on the
human performance interms of response time.
Table 10: ANOVA table for response time at three
abduction angles with respect to type of laptops
Source Sum of
Squares
Degree
of
freedom
Mean
Square
F Sig.
Factor
Error
Total
20981
162555
183537
1
58
59
20981
2803
7.49 0.008
Significance level at 0.05
Table 10 shows the ANOVA results for various
conditions interms of response time. Through
analysis, the following conclusions are drawn:
(i) Null hypothesis has been rejected because the
aggregate does not have the same response time
at the six different conditions considered (L L 00
,
L L 50
, L L 100
, S L 00
, S L 50
, S L 100
).
(ii) Null hypothesis has been rejected because Fov=
7.49 is greater than [F0.05 (1, 58)] cv = 4.009
obtained from using the values of degree of
freedom (1, 58) [where ov = observed value and
cv = critical value].
(iii) Null hypothesis has been rejected because P-
value for F-value = 7.49 is found to be less than
the set significance level i.e. α = 0.05.
The above results indicate that the null
hypothesis was rejected and it was found that the
different wrist abduction angles for both small and
large laptops do have a significant effect on human
performance interms of the response time.
Table 11 : ANOVA table for force applied at three
abduction angles with respect to type of laptops
Source Sum of
Squares
Degree
of
freedom
Mean
Square
F Sig.
Factor
Error
Total
746827
584072
1330899
1
58
59
746827
10070
74.16 0.000
Significance level at 0.05
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ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08
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Table 11 presents the ANOVA results for
various conditions interms of force applied. Through
analysis, the following conclusions are drawn:
(i) Null hypothesis has been rejected because the
aggregate does not have the same response time
at the six different conditions considered (L L 00
,
L L 50
, L L 100
, S L 00
, S L 50
, S L 100
).
(ii) Null hypothesis has been rejected because Fov=
74.16 is greater than [F0.05 (1, 58)] cv = 4.009
obtained from using the values of degree of
freedom (1, 58) [where ov =
(iii) Null hypothesis has been rejected because P-
value for F-value = 74.16 is found to be less than
the set significance level i.e. α = 0.05.
The above results indicate that the null
hypothesis was rejected and it was found that the
different wrist abduction angles for both small and
large laptops do have a significant effect on human
performance interms of the force applied.
V. Conclusion
Through the set of experimental investigations,
an attempt has been made to develop a better
understanding of human performance with respect to
anthropometric factors and postures while interacting
with a laptop. The first study explored the effect of
wrist abduction angle having a significant effect on
two performance parameters i.e. response time and
force applied for both small and large laptops. The
second study investigated the effect of two different
laptops generally used while performing various
tasks. In both the studies, performance of the laptop
user was in terms of response time and force applied.
On the basis of results obtained the following
concluding remarks are drawn:
(i) The angle of wrist abduction while using laptops
has a significant effect over the force applied.
(ii) The results obtained for the large laptop was
significantly different from small laptop for
different abduction angles in terms of
performance parameters, response time and force
applied.
(iii) For large laptop, force applied was found to be
least for 00
angle of abduction while response
time was found to be minimum at 100
wrist
abduction angle.
(iv) For small laptop, force applied was found to be
least for 100
angle of abduction while response
time was found to be minimum at 50
wrist
abduction angle.
(v) Comparision of results indicate that the
minimum applied force at keys was observed for
small laptop with the angle of abduction 100
and
minimum response time was observed for small
laptop at 50
angle of abduction.
On the basis of experimental investigation, it is
explored that the users should use small laptop at 100
abduction angle for ergonomically better
performance and to minimize musculoskeletal
disorder and repetitive strain injuries. Small laptop
should be preferred over large laptops for better
efficiency in use as investigated interms of response
time. The results of this work may be directly applied
to the practical field. Further studies may be
considered using parameters like more wrist
abductions, elbow abductions, and arm abductions
and other anthropometric and environmental
considerations.
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/doi/abs/10.1080/001401399184983;
Assessed on 24/12/2015.
[20.] Website.5: http://www.ncbi.nlm.nih.gov/p
mc/articles/PMC3715443/; Assessed on
24/12/2015.

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Ergonomic Evaluation of the Angle of Abduction in Laptops Environment

  • 1. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 1|P a g e Ergonomic Evaluation of the Angle of Abduction in Laptops Environment Imtiaz Ali Khan* , Adil A, Khan S, and Imadullah S. Department of Mechanical Engineering, Aligarh Muslim University, Aligarh (U.P.) 202002, India. Abstract Laptops in 21st century are an integral part of every professional in vivid fields. Off late there has been emergence of several ergonomic injuries such as repetitive strain injuries (RSIs) due to extensive usage of laptops, which can be closely linked with applied force and postures. This study investigated the effect of various angles of keyboard on the applied force and motor action plus response time while performing five distinct tasks. On the basis of literature two different laptops were selected for performing different tasks. For each case the three levels of platform angle were considered as 0°, 5°, and 10°. Male subjects were selected to perform five distinct tasks for each platform angle for both laptops. The force applied (in milli-volts) and the motor action plus response time (milli-seconds) were recorded using an oscilloscope. The data collected were analyzed through ANOVA using MINITAB software. The abduction angle with the least mean response time and applied force were considered as the best from ergonomics viewpoint. The ANOVA results showed that the angle of abduction for both laptops (small and large) do have significant effect on applied force but not on motor action plus response time. The analysis of results indicate that 10° angle of abduction in case of small laptops should be applied to minimize musculoskeletal disorder and repetitive strain injuries. Research relevance: This work suggests that those responsible for the function and operation of laptops would have to redesign the system to reduce injuries, as far as musculoskeletal disorder, repetitive strain injuries and other related problems are concerned. The present work can be quite useful for the system designers of tomorrow. Keywords: ANOVA, Laptops, Force applied, Motor action time, Response time, Abduction angle. I. Introduction Laptops are nowadays commonly used in a variety of settings, such as at work, in education, and for personal multimedia. When it comes to laptops, the number of them in use has risen in India over the last few years. Almost one-half of American adults own a laptop computer. In contrast to desktop computers, which are typically utilized in a seated position, the portable nature of laptop computers allows for a variety of postures during usage. Given the popularity of the laptops, many researchers have analyzed its usability, including comparing the performance of operating tasks, different sized laptops, different age groups, and the design considerations for laptops. With the convenience of laptops increasing frequency and duration of use, the design characteristics of the laptops give rise to concerns regarding their impact upon body mechanics and the musculoskeletal system. The nature of laptop use may facilitate the potential for the development of the musculoskeletal symptoms. With more and more people owning laptops and spending greater amounts of time emailing, surfing the net and e-reading, physiotherapists have seen a significant increase in hand held device related injuries. The posture often assumed while using a laptop is unnatural and can result in number of overuse and posture-related aches and pains. The spine in not designed to be held in awkward postures for long periods of time, in such small area. It is important to be aware of the risks associated with using the laptop to take healthy steps and safety measures to avoid potential injury. Many ergonomically designed products are also used or recommended to treat or prevent such disorders, and to treat pressure- related chronic pain. One of the most prevalent types of work-related injuries is musculoskeletal disorder. Work-related musculoskeletal disorders (WMSD) result in persistent pain, loss of functional capacity and work disability, but their initial diagnosis is difficult because they are mainly based on complaints of pain and other symptoms. Cognitive ergonomics is concerned with mental processes, such as perception, memory, reasoning, and motor response, as they affect interactions among humans and other elements of a system. Anthropometry is an important field used in ergonomics. Ergonomists use anthropometric factors such as angle of abduction to optimize human interaction with equipment and workplace. Anthropometry can be referred to as the measurement of the human individual. An early tool of physical RESEARCH ARTICLE OPEN ACCESS
  • 2. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 2|P a g e anthropology, it has been used for identification, for the purpose of understanding human physical variations, in palaeoanthropology and in various attempts to correlate physical with racial and psychological traits. Today anthropometry plays an important role in industrial design, clothing design, and architecture where statistical data about the distribution of body dimensions in the population are used to optimize products. Changes in lifestyles, nutrition, and ethnic composition of populations lead to changes in the distribution of body dimensions (e.g. the obesity epidemic), and require regular updating of anthropometric data collections. Today, anthropometry is performed by several measuring instruments like 3-D scanners, baropodographic devices and neuro imaging. Text entry is a fairly complex process, involving visual, tactile, motion, memory, learning, and other cognitive functions. Moreover, they belong to different levels of cognitive processing. The process of text entry is subject to the biomechanical constraints of the hand. Whether perceptual and cognitive concepts are suitable will dominantly affect the user‟s final performance, such as the response time and accuracy rate (Khan 2014a; Khan 2014b; Khan; 2014c; Khan 2014d; Khan and Asghar 2011; Khan and Asghar 2010). Therefore, if a new input method is to be designed, ergonomically designed operation and cognitive compatibility must be emphasized. According to Fitts‟ law concerning motion execution (Fitts, 1954), the keyboard layout should be arranged so that a finger travels the minimum distance necessary, allowing text entry efficiency to be improved. Realizing that the procedural memory has a subtle effect on users, many researchers have employed the transfer effect of learning to conduct relevant designs or studies (Carey, 2001; Jacob and Brad, 2008; Liang and Chang, 2009). Further, according to the findings regarding the stimulus-response compatibility effect (SRC effect), different hand postures will affect encoding patterns, which will vary with the relationship between visual stimulus and finger reaction (Ehrenstein et al., 1989; Lyons et al., 2004; Lyons et al., 2006). Input accuracy is critical to usability of laptops because people frequently use them for a variety of purposes such as personal information organizers, communicators, business appliances, and entertainment devices. High input accuracy enables users to finish their tasks quickly with few errors. Thumb length might affect users` reach ability of the keys whereas users with large thumbs might find it cumbersome keying in messages via the tiny keys (Balakrishnan and Yeow, 2008). Work-related Musculo-Skeletal Disorders (WMSDs) result in considerable costs to industry annually (Khan 2012). Various studies shows that risks of WMSDs are associated with certain jobs and certain work related factors compared with other population groups not exposed to risk factors. It is necessary to study repetitive exertions combined with tapping force for wrist abduction angle. So, the present study was designed to look at the effects of repetitive force exertion for abducted wrist postures. II. Problem formulation On the basis of the literature reviewed, it can be observed that majority of the people using laptop feel discomfort irrespective of its size. In the past studies, ergonomists studied different postures while using laptop that are suitable as well as comfortable to fit the body and the mind of the user. In this study, it was observed that the angle of abduction and different tasks performed while using the small and large laptops are the important parameters that affect the human performance in terms of response time and the applied force. In this work two sets of studies were undertaken on both (small and large size) the laptops. Based upon surveys, three angles of abductions 00 , 50 and 100 were considered for developing an ergonomic database. The studies have been formulated as follows: In terms of null hypothesis, the problem could be formulated as: a. The angle given to the laptop base does not have a significant effect on laptop users‟ performance in terms of response time. b. The angle given to the laptop base does not have a significant effect on laptop users‟ performance in terms of force applied. c. The two laptop sizes do not have a significant effect on laptop users‟ performance in terms of response time. d. The two laptop sizes do not have a significant effect on laptop users‟ performance in terms of force applied. III. Methodology The experimental hypothesis stated in section 2 was tested through a set of experimental investigations. For conducting the investigations, an experimental setup (figure 1) was designed which is summarized as follows: Experimental investigations were conducted in an isolated environment. The light intensity level was kept in the range of 85 lux. The setup comprised of the following sub system: a. Large Laptop (LL) (HP Pavilion g series, 15.6”) b. Small Laptop (LL) ( Acer Aspire One ZE7 10.1”) c. Mica plate with piezo-electric sensor attached d. Oscilloscope e. Wooden angle wedges One of the important requirements for conducting the experimental investigation was the selection of subjects participating in the study. The
  • 3. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 3|P a g e present experimental investigation was carried out with a group of 10 subjects of the same finger, wrist and elbow lengths and the same age group. All the subjects had prior experience with using a laptop. The wooden wedges were used to give the angle to the laptop base and thus variable wrist abduction angles (figures 2 and 3). Performance of each subject was recorded on the basis of response variables i.e. force applied and motor action response time through oscilloscope. Mica plate attached with piezoelectric sensor was used to station the laptops for measuring the human performance (figure 4) at different angle of abductions provided through angle wooden wedges. Figure 1: Experimental setup Figure 2: Wooden wedges for 50 wrist abduction Figure 3: Wooden wedges for 100 wrist abduction Figure 4: Oscilloscope readings showing force applied on Y-axis and response time on X-axis To evaluate the laptop users‟ performance in context with the wrist abduction angle for both small and large laptops, a set of experimental investigations were carried out as follows: a. The angle of the base of the laptop was varied by changing the inclination of mica plate with the help of wooden wedges. b. The laptop was placed above the sensor point connected to the mica plate. c. The subjects were asked to keep their fingers at the initial reference point i.e. „ctrl‟ key. d. A pre-recorded voice signal „start‟ was given to the subject to perform each task by moving the forefinger from the reference point. The five target keys for the respective five tasks were „P‟, „Q‟, „Z‟, „?‟ and „G‟ respectively. e. After completion of each task i.e. key press, the force applied and motor action response time was recorded through the oscilloscope. f. The performance of each subject was recorded separately at angle of abductions 00 , 50 and 100 at five distant tasks for both small and large laptops. g. Each of the subjects was imparted instructions so as to get complete familiarity with the tasks and postures for using both small and large laptops. The collected data through the experimental observations were analyzed by analysis of variance (ANOVA) using the MINITAB software and is presented in the next section.
  • 4. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 4|P a g e IV. Experimentation and Results Tables 1 through 6 presents the average force applied in milli-volts and average motor action response time in milli-seconds for large laptop (LL) and small laptop (SL) at three wrist abduction angles namely 00 , 50 and 100 respectively. 4.1 Large laptop Table 1 -Experimental observations for 0o angle of abduction for five different tasks Subject Force applied (mean) (in milli-volts) Motor action response time (mean) (in milli- seconds) 1 240 382 2 312 408 3 536 352 4 444 380 5 476 432 6 536 444 7 304 400 8 420 444 9 336 448 10 328 444 Mean 393.2 413.4 Table 2 -Experimental observations for 5o angle of abduction for five different tasks Subject Force applied (mean) ( in milli-volts) Motor action response time (mean) (in milli-seconds) 1 184 368 2 304 388 3 584 328 4 444 418 5 552 460 6 600 432 7 368 380 8 296 464 9 320 452 10 472 476 Mean 412.4 416.6 Table 3 -Experimental observations for 10o angle of abduction for five different tasks Subject Force applied (mean) (in milli-volts) Motor action response time (mean) (in milli-seconds) 1 272 404 2 584 404 3 624 356 4 360 388 5 496 440 6 424 520 7 256 364 8 472 436 9 296 450 10 504 312 Mean 428.8 407.4 4.2 Small laptop Table 4 -Experimental observations for 0o angle of abduction for five different tasks Subject Force applied (mean) (in milli-volts) Motor action response time (mean) (in milli- seconds) 1 164 360 2 176 368 3 196 280 4 280 368 5 280 408 6 100 408 7 92 316 8 220 468 9 148 328 10 156 440 Mean 181.2 374.4 Table 5 -Experimental observations for 5o angle of abduction for five different tasks Subject Force applied (mean) ( in milli-volts) Motor action response time (mean) (in milli-seconds) 1 116 360 2 212 368 3 352 336 4 140 356 5 328 436 6 160 316 7 120 324 8 100 412 9 276 380 10 234 400 Mean 203.8 368.8 Table 6 -Experimental observations for 10o angle of abduction for five different tasks Subject Force applied (mean) ( in milli-volts) Motor action response time (mean) (in milli-seconds) 1 112 320 2 236 300 3 308 280 4 164 432
  • 5. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 5|P a g e 5 200 456 6 156 540 7 116 348 8 120 372 9 152 384 10 236 388 Mean 180.0 382.0 Figures 5 through 8 presents bar graphs for mean response time and mean applied force for two experimental considerations interms of large and small laptops. Figure 5: Bar graph showing mean response time on Y-axis for large laptop (LL) at angles of abductions 00 , 50 and 100 respectively Figure 6: Bar graph showing mean applied force on Y-axis for large laptop (LL) at angles of abductions 00 , 50 and 100 respectively Figure 7: Bar graph showing mean response time on Y-axis for small laptop (SL) at angles of abductions 00 , 50 and 100 respectively Figure 8: Bar graph showing mean applied force on Y-axis for small laptop (SL) at angles of abductions 00 , 50 and 100 respectively Analysis of variance (ANOVA) was carried out to know the significant effect of wrist abduction angle for both the small and large laptops over force applied and reaction time. For analysis, the force applied and response time were the response variables and six different conditions as given in table 7 were considered. The conditions were for the three abduction angles namely 00 , 50 and 100 . Further ANOVA was applied for checking the significance of the abduction angle with respect to the size of the laptops used (table 7). Over here also, the force applied and response time were the response variables. 402 404 406 408 410 412 414 416 418 L L 0 L L 5 L L 10 370 380 390 400 410 420 430 L L 0 L L 5 L L 10 362 364 366 368 370 372 374 376 378 380 382 S L 0 S L 5 S L 10 165 170 175 180 185 190 195 200 205 S L 0 S L 5 S L 10
  • 6. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 6|P a g e Table 7 –Showing six conditions with three abduction angles and two conditions with two types of laptops with their degrees of freedom N Conditions L L 0 L L 5 L L 10 S L 0 S L 5 S L 10 30 30 30 30 30 30 Laptops L L S L 60 60 Table 8: ANOVA table for force applied at six different conditions Sum of Squares Degree of freedom Mean Square F Sig. Between Groups Within Groups Total 756773 574127 1330899 5 54 59 151355 10632 14.24 .000 Significance level at 0.05 Table 8 shows the ANOVA result through MINITAB software at six different conditions with force applied as response variable. Through analysis, the following conclusions are drawn: (i) Null hypothesis has been rejected because the aggregate does not have the same force applied at the six different conditions considered (L L 00 , L L 50 , L L 100 , S L 00 , S L 50 , S L 100 ). (ii) Null hypothesis has been rejected because Fov= 14.24 isgreater than [F0.05 (5, 54)] ; cv = 2.393 obtained from using the values of degree of freedom (5, 54) [where ov = observed value and cv = critical value]. (iii) Null hypothesis has been rejected because P- value for F-value = 14.24 is found to be less than the set significance level i.e. a = 0.05. (iv) The above results indicate that the null hypothesis was rejected and it was found that the different wrist abduction angles for both small and large laptops have a significant effect on the human performance interms of the force applied. Table 9: ANOVA table for response time at six different conditions Source Sum of Squares Degree of freedom Mean Square F Sig. Factor Error Total 22296 161241 183537 5 54 59 4459 2986 1.49 0.207 Significance level at 0.05 Table 9 presents the ANOVA result through MINITAB software at six different conditions with response time as output variable. Through analysis, the following conclusions are drawn: (i) The aggregate does not have the same response time at the six different conditions considered (L L 00 , L L 50 , L L 100 , S L 00 , S L 50 , S L 100 ). (ii) Null hypothesis has been accepted because Fov= 1.49 is lesser than [F0.05 (5, 54)] cv = 2.393 obtained from using the values of degree of freedom (5, 54) [where ov = observed value and cv = critical value]. (iii) Null hypothesis has been accepted because P- value for F-value = 1.49 is found to be greater than the set significance level i.e. α = 0.05. The above results indicate that the null hypothesis was accepted and it was found that the different wrist abduction angles for both small and large laptops do not have significant effect on the human performance interms of response time. Table 10: ANOVA table for response time at three abduction angles with respect to type of laptops Source Sum of Squares Degree of freedom Mean Square F Sig. Factor Error Total 20981 162555 183537 1 58 59 20981 2803 7.49 0.008 Significance level at 0.05 Table 10 shows the ANOVA results for various conditions interms of response time. Through analysis, the following conclusions are drawn: (i) Null hypothesis has been rejected because the aggregate does not have the same response time at the six different conditions considered (L L 00 , L L 50 , L L 100 , S L 00 , S L 50 , S L 100 ). (ii) Null hypothesis has been rejected because Fov= 7.49 is greater than [F0.05 (1, 58)] cv = 4.009 obtained from using the values of degree of freedom (1, 58) [where ov = observed value and cv = critical value]. (iii) Null hypothesis has been rejected because P- value for F-value = 7.49 is found to be less than the set significance level i.e. α = 0.05. The above results indicate that the null hypothesis was rejected and it was found that the different wrist abduction angles for both small and large laptops do have a significant effect on human performance interms of the response time. Table 11 : ANOVA table for force applied at three abduction angles with respect to type of laptops Source Sum of Squares Degree of freedom Mean Square F Sig. Factor Error Total 746827 584072 1330899 1 58 59 746827 10070 74.16 0.000 Significance level at 0.05
  • 7. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 7|P a g e Table 11 presents the ANOVA results for various conditions interms of force applied. Through analysis, the following conclusions are drawn: (i) Null hypothesis has been rejected because the aggregate does not have the same response time at the six different conditions considered (L L 00 , L L 50 , L L 100 , S L 00 , S L 50 , S L 100 ). (ii) Null hypothesis has been rejected because Fov= 74.16 is greater than [F0.05 (1, 58)] cv = 4.009 obtained from using the values of degree of freedom (1, 58) [where ov = (iii) Null hypothesis has been rejected because P- value for F-value = 74.16 is found to be less than the set significance level i.e. α = 0.05. The above results indicate that the null hypothesis was rejected and it was found that the different wrist abduction angles for both small and large laptops do have a significant effect on human performance interms of the force applied. V. Conclusion Through the set of experimental investigations, an attempt has been made to develop a better understanding of human performance with respect to anthropometric factors and postures while interacting with a laptop. The first study explored the effect of wrist abduction angle having a significant effect on two performance parameters i.e. response time and force applied for both small and large laptops. The second study investigated the effect of two different laptops generally used while performing various tasks. In both the studies, performance of the laptop user was in terms of response time and force applied. On the basis of results obtained the following concluding remarks are drawn: (i) The angle of wrist abduction while using laptops has a significant effect over the force applied. (ii) The results obtained for the large laptop was significantly different from small laptop for different abduction angles in terms of performance parameters, response time and force applied. (iii) For large laptop, force applied was found to be least for 00 angle of abduction while response time was found to be minimum at 100 wrist abduction angle. (iv) For small laptop, force applied was found to be least for 100 angle of abduction while response time was found to be minimum at 50 wrist abduction angle. (v) Comparision of results indicate that the minimum applied force at keys was observed for small laptop with the angle of abduction 100 and minimum response time was observed for small laptop at 50 angle of abduction. On the basis of experimental investigation, it is explored that the users should use small laptop at 100 abduction angle for ergonomically better performance and to minimize musculoskeletal disorder and repetitive strain injuries. Small laptop should be preferred over large laptops for better efficiency in use as investigated interms of response time. The results of this work may be directly applied to the practical field. Further studies may be considered using parameters like more wrist abductions, elbow abductions, and arm abductions and other anthropometric and environmental considerations. References [1.] Balakrishnan, V., Yeow, P.H.P., 2008. A study of the effect of thumb sizes on mobile phone texting satisfaction. J. Usability Stud. 3 (3), 118e128. [2.] Carey, E., 2001. Effects of posture, force and rate of exertion at the wrist on discomfort and fatigue. Ph.D. Thesis. University of Limerick, Limerick, Republic of Ireland. [3.] Ehrenstein, W.H., Schroeder-Heister, P., Heister, G., 1989. Spatial S-R compatibility with orthogonal stimulus-response relationship. Percep. Psychophys. 45 (3), 215e220. [4.] Fitts, P.M., 1954. The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47 (6), 381e391. [5.] Khan I.A., 2014a. Multi-response ergonomic design of human-CNC machine interface. International Journal of Interactive Design and Manufacturing, 8(1): 13-31. [6.] Khan I.A., 2014b. Multi-response ergonomic evaluation of female CNC machine operators. International Journal of Human Factors and Ergonomics, 3(1) : 32- 64. [7.] Khan I.A., 2014c. Multi-Response Ergonomic Evaluation of Higher Age Group CNC Machine Operators. International Journal of Engineering Research and Applications, 4(8), Version 7: 01-21. [8.] Khan I.A., 2014d. Multi-Response Ergonomic Analysis of Middle Age Group CNC Machine Operators. International Journal of Science, Technology and Society, 2(5): 133-151. [9.] Khan I.A., 2012. Ergonomic design of human-CNC machine interface”, Inaki Maurtua, Editor, Human Machine Interaction-Getting Closer, InTech Open Access Publisher, Croatia, pages 115 – 136. [10.] Khan I.A. and Asghar M., 2010. Ergonomic evaluation of the angle of abduction in a computer numerically controlled-electro discharge machine environment.
  • 8. Imtiaz Ali Khan et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 6, Issue 1, (Part - 4) January 2016, pp.01-08 www.ijera.com 8|P a g e International Journal of Cognition Technology & Work, 12(4):263-269. [11.] Khan I.A. and Asghar M., 2011. Ergonomic design of the viewing angle in a computer numerically controlled-electro discharge machine environment”, W. Karwowski, G. Salvendy, Editors, Advances in Human Factors, Ergonomics and Safety in Manufacturing and Service Industries, CRC Press, Taylor & Francis Group, New York, pages 169-179. [12.] Jacob O. Wobbrock, Brad A. Myers, 2008, “The performance of hand postures in front- and back-of-device interaction for mobile computing”, Int. J. Human-Computer Studies 66 (2008), 857–875. [13.] Liang, H., Hwang, Y., Chang, F., 2009. Effects of input methods on inter-key press intervals during continuous typing. Ergonomics 52 (9), 1153e1161 (Taylor & Francis). [14.] Lyons, K., Starner, T., Plaisted, D., Fusia, J., Lyons, A., Drew, A., Looney, E.W., 2004. Twiddler typing: one-handed chording text entry for mobile phones. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 671e678(Vienna, Austria). [15.] Lyons, K., Starner, T., Gane, B., 2006. Experimental evaluations of the twiddler onehanded chording mobile keyboard. Human-Computer. Interact. 21 (4), 343e392. [16.] Website.1:https://en.wikipedia.org/wiki/Hu man_factors_and_ergonomics; Assessed on 24/12/2015. [17.] Website.2:https://en.wikipedia.org/wiki/Lap top; Assessed on 24/12/2015. [18.] Website.3:http://www.dehs.umn.edu/ergo_o ffice_laptop.htm;Assessed on 24/12/2015. [19.] Website.4: http://www.tandfonline.com /doi/abs/10.1080/001401399184983; Assessed on 24/12/2015. [20.] Website.5: http://www.ncbi.nlm.nih.gov/p mc/articles/PMC3715443/; Assessed on 24/12/2015.