Age Bias and
Human-Computer Interaction (HCI) Methods
Sandra Kogan (Master’s
Candidate)
By the year 2025, the worldwide population of older
adults, those >65 years of age, will grow by a factor of three. Forecasts
for the United States project 58.6 million older adults by the year 2025, with
the greatest growth occurring among those >75[i].
These trends have significant implications for researchers, designers and
policy makers. Given that the number of older adults in the population is
rapidly increasing, there is a strong need to identify strategies to enhance
the functional independence and autonomy of older adults[ii].
Older adults of working age are either current computer users or will be
learning to use computers in the next several decades. Computer users and
workers of all ages will be required to constantly update their skills because
of new products and new releases being developed at a very fast pace [iii].
Many consumer products such as telephones, home
appliances, electronics, computer hardware and software are intended to be used
by adults of all ages in various contexts and environments. However, the design
process is such that products are not tested on all types of users. Resulting
products that are easy for the average 25 year old to use, are not easy for the
average 70 year old. If age-related differences are not taken into account
during the design process, the resulting products will present unnecessary
barriers to older adults who try to use them.
Applications that target the elderly aim to enhance
mobility, independence and social participation. Technology can play a major
role in achieving this goal if new products meet the requirements of the aging
population [iv]. Because the process of aging is
modifiable by environmental factors, it is important for designers and
developers of new technology to maximize the potential benefits. A more
in-depth understanding of the needs and aspirations of older adults can lead to
innovations and better design for all.
There
is a need to sensitize people to the heterogeneity of the aging process. Not
all people age in the same way, or at the same time. As we age, we undergo
certain changes for better, and for worse. Aging is a gradual biological
process that occurs throughout the lifecycle. It is a complex, continuous
process and occurs differently in each individual thereby rendering the group
of ‘older adults’ more heterogeneous than other age groups with respect to
their characteristics[v]. The process of aging is not uniform
and occurs at different times, to different degrees in each person. There is
great variability between individuals with respect to the time, rate and degree
of change for each characteristic. It’s important to note that illness is not
an intrinsic part of the aging process – certain illnesses and diseases are
more prevalent among older adults, but the changes discussed here deal only
with normal aging.
The goals of my thesis project are to identify
age-bias inherent in various types of human-computer interaction (HCI) methodology,
such as task analysis, and propose a modification to the methods to render them
appropriate for both older and younger age groups (taking into account a user’s
individual characteristics). Advances in technology make it possible to
accommodate a diverse group of users [vi], so the study of individual
differences in HCI must be considered because these differences typically
account for a large portion of the variance in computer-based performance.
[i] Office of technology Assessment. Technology and aging in America, Washington D.C. 1985: US Government Printing Office.
[ii] Czaja SJ, Guerrier JH, Nair S, Landauer TK. Computer communication as an aid to independence for older adults. Behaviour and Information technology. 1993;12(4):197-207.
[iii] Kelley CL, Charness N. issues in training older adults to use computers. Behaviour and Information Technology. 1995; 14(2):107-120.
[iv] Brouwer-Janse MD, Suri JF, Yawitz M, de Vries G, Fozard JL, Coleman R. User interfaces for young and old. Interactions 1997; March+April: 34-46.
[v] Czaja SJ. Microcomputers and the elderly. In. M. Helander (Ed) Handbook of Human Computer Interaction. 1988: 581-598.
[vi] Egan DE. Individual differences in Human Computer Interaction, in ME Helander (ed.) Handbook of Human Computer Interaction 1988. Amsterdam: North Holland pp:543-568.