Information Technology Reference
In-Depth Information
studies reviewed concentrated on identifying
movements that are more natural to users, on
ways to reduce or avoid false positives, and on the
amount of force a user may typically wish to apply
to accomplish a particular goal such as turning a
page in a document, and so forth. These kinds of
research questions can be compared with studies
determining the accuracy with which people would
use a mouse to point to, or highlight, a particular
letter or phrase in a written document. These are
hardly tasks that anyone would test these days in
traditional GUI environments. The kinds of studies
of novel, innovative interaction methods found in
the recent literature reviewed here were evidently
found to revert to the controlled laboratory ex-
periments originating in 'disembodied cognition'
(Benyon et al., 2010) that some researchers argue
should be replaced in the mobile arena. Indeed,
new paradigms must be invented and adopted to
meet the challenges of people multitasking while
using mobile devices, the literature reviewed here
does suggest that well-designed, tightly controlled
experiments still have an important place in the
mobile world. This may well change as we learn
more about interaction models using different
sensory modalities as well as multimodal ap-
proaches just as has happened in the GUI world.
For now, however, while acquiring this basic level
of understanding, we should be very careful not to
throw out the proverbial baby with the bath water.
Amedi, A., Stern, W. M., Camprodon, J. A., Berm-
pohl, F., Merabet, L., & Rotman, S. (2007). Shape
conveyed by visual-to-auditory sensory substitu-
tion activates the lateral occipital complex.
Nature
Neuroscience
,
10
, 687-689. doi:10.1038/nn1912
Angin, P., Bhargava, B., & Helal, S. (2010). A
mobile-cloud collaburative traffic lights detector
for blind navigation.In
Proceedings 11
th
. interna-
tional conference on mobile data management
,
(pp.296-401).
Bach-y-Rita, P., Tyler, M. E., & Kaczmarek, K.
A. (2003). Seeing with the brain.
International
Journal of Human-Computer Interaction
,
15
(2),
285-295. doi:10.1207/S15327590IJHC1502_6
Bainbridge, L. (1995). Verbal protocol analysis.
In Wilson, J., & Corlett, E. (Eds.),
Evaluation of
Human Work: A practical ergonomics methodol-
ogy
(pp. 161-179). London: Taylor & Francis Ltd.
Bennett, G., Lindgaard, G., Tsuji, B., Connelly, K.
H., Siek, K. A., & Khan, S. (2006). Reality testing:
HCI challenges in non-traditional environments.
CHI'06 Extended Abstracts,
Montreal,
1679-1682
.
Benyon, D., Höök, K., & Nigay, L. (2010). Spaces
of interaction,
Proceedings ACM-BCS visions of
computer science conference
. Edinburgh, UK.
Beyer, H., & Holtzblatt, K. (1998).
Contextual
design: Defining customer-centred systems
. San
Francisco: Morgan Kauffman Publishers.
Brown, L., & Brewster, S. A. (2003). Drawing by
ear: Interpreting sonified line graphs, Proceedings
ICAD (pp. 15-22).
ACKNOWLEDGMENT
This research was made possible by the NSERC/
Cognos IRC Grant no: IRCSA 23087-05.
Brunswik, E. (1956).
Perception and the represen-
tative design of psychological experiments
(2nd
ed.). Berkeley, CA: University of California Press.
REFERENCES
Burke, J. W., McNeill, M. D. J., Charles, D. K.,
Morrow, P. J., Crosbie, J. H., & Donough, S.
M. (2009). Optimising engagement for stroke
rehabilitation using serious games.
The Visual
Computer
,
25
(12), 1085-1099. doi:10.1007/
s00371-009-0387-4
Abowd, G., Atkeson, C., Hong, J., Long, S., Koop-
er, R., & Pinkerton, M. (1997). Cyberguide: A mo-
bile context-aware tour guide.
Wireless Networks
,
3
, 421-433. doi:10.1023/A:1019194325861
Search WWH ::
Custom Search