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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Vibration Perception in Mobile Contexts</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Idin Karuei</string-name>
          <email>idin@cs.ubc.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Zoltan Foley-Fisher</string-name>
          <email>zoltan@ece.ubc.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sebastian Koch</string-name>
          <email>skoch@cs.ubc.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Russ MacKenzie</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mohamed El-Zohairy</string-name>
          <email>zohairy@cs.ubc.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Karon E. MacLean║</string-name>
          <email>maclean@cs.ubc.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Computer Science, University of British Columbia</institution>
          ,
          <addr-line>Vancouver</addr-line>
          ,
          <country country="CA">Canada</country>
        </aff>
      </contrib-group>
      <fpage>28</fpage>
      <lpage>29</lpage>
      <abstract>
        <p>Human sensitivity to vibration declines in mobile contexts. Designers of wearable haptic systems must account for the effects of movement and distraction so that tactile display information is perceived consistently. We compared the sensitivity of seven body sites in simulated mobile contexts, and found that the thigh is least and the wrists the most sensitive of the sites tested.</p>
      </abstract>
      <kwd-group>
        <kwd>Vibration</kwd>
        <kwd>Sensitivity</kwd>
        <kwd>Mobile Contexts</kwd>
        <kwd>Movement</kwd>
        <kwd>Distraction</kwd>
        <kwd>Wearable Haptics</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>INTRODUCTION</title>
      <p>
        Many body sites have been considered for wearable tactile
displays, and vibratory information has improved performance of
pilots and drivers. It is well known that some body sites are less
sensitive than other areas, e.g. back versus wrist – a function of
skin type and sensor density and composition. When a body part
is in motion, it becomes less sensitive to stimuli [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] and vibration
patterns may be misinterpreted or undetected. For wearable haptic
systems, often used in ambulatory situations this is especially
troublesome. Merely increasing vibration intensity is
unsatisfactory due to concerns of power and comfort. In this paper
we tackle unpredictable vibration sensitivity by seeking body sites
that are less susceptible to changes in sensitivity, comparing
diverse sites (a few studied elsewhere) in a single study.
      </p>
    </sec>
    <sec id="sec-2">
      <title>RELATED WORK</title>
      <p>
        Wearable tactile systems have been the focus of many papers in
the last decade due to its variety of applications. Ertan et al.
introduced a wearable navigation system for guidance of blind
users in unfamiliar indoors areas [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. They used a vibrotactile
display consisting of a 4-by-4 array of micromotors embedded in
the back of a vest to communicate a stop signal or the four
cardinal directions to the user. Bosman et al. developed a
wearable haptic guidance system that could be attached to both
wrists of a pedestrian to guide him inside unknown buildings [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
Tsukada and Yasumura developed a belt with eight vibrotactile
haptic displays to guide a pedestrian towards destinations,
predefined locations, or valuables left behind [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Subjects could
feel vibrations when stopped but often failed to recognize
vibrations when walking; they could stop for a moment to
recognize the direction of the vibration. This suggests that the
effect of movement on detection of tactile stimuli which has been
studied in the field of neural psychology [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ][
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] is in fact
significant and ignoring it will harm the effectiveness of tactile
user interfaces.
3
      </p>
    </sec>
    <sec id="sec-3">
      <title>METHODS</title>
      <p>16 volunteers (8 male) took part. The participants
(counterbalanced for gender and condition) sat in a chair in one
condition, and walked on a treadmill in the other. A tall chair
maintained a consistent view of the screen between conditions.
We attached thirteen vibrotactile displays to seven body sites
corresponding to wearable sites based on past studies and
potential practicality: chest (left and right, directly below the
collar bone), spine, outer thighs, stomach (left and right, halfway
between navel and hip bone), feet (on the top surface of the foot),
wrists, and upper arms.</p>
      <p>During half of the trials in each condition, participants
performed a workload task targeting vision, memory, and
attention as shown in Figure 1. A screen four meters wide and
three meters high displayed twenty-five blocks bouncing slowly
around a three-dimensional room; one block was highlighted and
participants counted the times the highlighted block hit any of the
walls. The task was chosen for its controllable continuous
workload typical of normal pedestrian activity, with distraction
adjusted so that participants would not fall off the treadmill.
Participants reported their collision count at the end of each
workload condition.</p>
      <p>During all conditions, participants pressed the right-hand button
on a modified computer mouse when they detected vibration from
any tactor. Vibrations were presented in randomized sites,
intensities in randomized order, and the interval between 500
msduration tactor vibrations was randomized between four and six
seconds. Reactions later than 3500 ms were discarded.
Movement, Body Site (within-subject) and Gender
(betweensubjects). Gender, Task, Movement, and Body Site (with spine as
a reference point) are categorical variables. The omnibus test of
the model coefficients is significant (p &lt; 0.001). The regression
results are listed in Table 1, where main effects Gender, Intensity,
Movement and Body Sites are seen to be statistically significant.</p>
      <p>The six Body Site levels in the table are Foot, Wrist, Stomach,
Thigh, Chest, and Arm; Spine is the reference level. Foot, Wrist,
Stomach, and Thigh are significantly different than Spine; Figure
2 further shows that the Wrist is more sensitive than the Spine,
and the Foot, Stomach, and Thigh are less sensitive.</p>
      <p>For Gender, males show a slightly higher detection rate of
65.3% compared to 63.0% for females. The Movement factor
showed an important result: participants detected 73.9% of stimuli
when sitting, but only 54.4% while walking. As suggested by the
regression results, Task did not show significant differences; the
detection rate with and without the visual distraction task was
64.4% and 63.8%, respectively. Predictably, there were strong
results for Intensity: at intensity 4 (the strongest) almost all stimuli
were detected, while at intensity 0 (weakest) only 16.7% were
detected.</p>
      <p>Interaction effects are difficult to analyze using regression, so
we will present these results graphically rather than with tests of
significance. There is a strong interaction between movement and
intensity, as shown in Figure 3. At the highest intensity there is no
difference between movement conditions, while at lower
intensities the detection rate is much lower while walking.</p>
      <p>All body sites are negatively affected by movement, but some
sites more than others, as illustrated in Figure 3. Thighs, and to a
lesser extent feet and stomach are particularly strongly affected.
These are also areas of motion: the feet can feel heel strikes on the
treadmill surface, while the stomach undergoes twisting motions
as the arms swing.
5</p>
    </sec>
    <sec id="sec-4">
      <title>CONCLUSION</title>
      <p>The results of our experiment confirm the effect of body motion
on detection of vibrations. We discovered that movement in a
typical mobile context (i.e. walking) affects detection of
vibrations on the thighs more than other body sites. Also, reaction
times to vibrations are significantly reduced during walking.
However, it appears that visual distraction in a mobile context
may not have a significant effect on detection of vibration on any
body site. In general, the thigh is not suited for applications that
require discriminating among vibration patterns in everyday
wearable haptics. This may be of interest to cell phone users who
typically receive vibration notifications on the site most
susceptible to movement effects. On the other hand, the data
suggest that the chest, upper arm, and wrist are sufficiently
sensitive to lower energy vibrations while the body is in motion.</p>
    </sec>
  </body>
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