Assigment 2: Personas, Goals & Task Analysis
February 17, 2004
Management Structure
Group & Documentation Manager: Lauren Wilkinson
Design Manager: Sean Savage
Data Manager: Mikhail Avrekh
Software Manager: John Han
Work
Distribution
Our team divided the work for this analysis as
follows:
Work Task |
Sean |
Lauren |
Mikhail |
John |
revisions to project statement
|
50% |
50% |
|
|
interviewing
|
|
33% |
33% |
33% |
aggregation of interview results
|
|
50% |
50% |
|
persona development
|
50% |
25% |
25% |
|
task development
|
75% |
25% |
|
|
documentation
|
33% |
33% |
33% |
|
web site
|
100% |
|
|
|
Revised Problem
Statement
Caltrans traffic sensors placed along highways
throughout the Bay Area provide reams of up-to-the-minute data and a warehouse
of historical traffic data that’s in the public domain, but plenty
of this potentially priceless information is going to waste because it’s
inaccessible to regular people.
A couple of existing Web sites provide traffic
visualizations based on these data, but the sites present the data in
an extremely low level of granularity. A user can glance at these images
to get a vague idea of how bad traffic is throughout the Bay Area, but
nothing is available that tailors this information to a user’s individual
routes, and nothing actively suggests alternative routes based on this
data. On the other hand, mapping services such as Mapquest provide personalized
direction maps at a high level of granularity, but these resources don’t
take into account traffic data. Depending on time of day, traffic can
render a Mapquest-recommended route one of the worst possible routes between
two points. We propose a system that combines real-time traffic data,
traffic forecasts based on historical data, map visualizations and routing
services to provide users with a new service that suggests what truly
are the best routes and that also allows users to visually explore alternative
routes and alternative travel times.
Sensor data does not yet exist for some key traffic
corridors in the Bay Area. For example, we do not yet have data for any
of the bridges, for 280 or for part of 580. To compensate for this incomplete
data set, we will use dummy data to fill in the gaps left by the sensor
data. We will build a prototype interface that operates as if it were
running on a complete set of sensor data from Bay Area highways, in the
expectation that when sensors are eventually installed the data can be
worked into our prototype to make a functioning system.
We are designing our system for two core user groups:
recreational drivers who use the system
to explore and choose routes to follow during occasional road trips; and
daily commuters who will use the system
to minimize aggravation and time spent getting to and from work.
The architectural design has not changed from our
previous description (aside from generating dummy data to fill in gaps
in sensor data):
on the backend: an
Oracle database that archives Bay Area traffic aggregates;
and the middleware:
routing and forecasting intelligence software streamlined from baseline
code that has already been developed in EECS.
Personas
& Goals
In determining the personas for our interface
usability study, we first and foremost tried to find a group of interviewees
who would be representative of the needs of various Bay Area commuters
and at the same time would be diverse in terms of age, gender, commute
schedules and goals, etc. We interviewed 9 people, three men, six women,
ranging in age from 22 to 54, with commute goals that varied from mostly
recreational driving, bi- or tri-weekly commute to work, regular commute
to school, to a daily 80 mile commute to and from work.
Aymanna Holiday represents the
latter category – someone who is relatively new to the region and
who seeks technological tools in order to help her acquire the expertise
she needs to make her daily driving less stressful and time-consuming.
Brianna Bridger merges travel needs specific to the Bay
Bridge with the needs of a student commuter whose schedule is less regular
than work-bound drivers. Ronald Innskeep is a weekend-only
driver. Finally, D. Mann, Esq. is a typical daily road
warrior who does his best to minimize the headache of his lengthy, yet
inevitable commute to work. Our intention was to arm each persona with
the planning tools that they would be most likely to use.
D.
Mann, Esq. is a 42-year-old tax attorney who works for a large
petrochemical corporation in their downtown San Francisco office building.
He wears a suit and an everpresent mobile phone earbud. Mann lives in
Los Gatos and commutes to the city in his Hum-V every morning around 8
a.m., a distance of about 50 miles; it takes him an hour and 15 minutes
to an hour and a half each day. He lives so far away because during the
tech boom he worked full-time for a dot-com in San Jose, and that’s
when he bought his sprawling Los Gatos home; then he landed the gig in
San Francisco. He usually returns home from work at about 7 p.m., but
a few nights each month he has dinner and a drink with colleagues before
heading home around 9.
He does a lot of business on the phone and he enjoys
the exclusive experience of cruising along in his Hum-V and peering down
at the other automobiles. Nonetheless, he’s a tightly-wound type-A
personality who hates loose ends and can’t stand the unpredictability
of Bay Area roads and highways. Traffic surprises make his ulcer flare
up.
Most of his driving life is spent commuting, but
he also takes road trips about twice per month; during the winter he heads
up to Tahoe and during the rest of the year he spends many of his weekends
at his villa up in Rutherford. Mann earns a comfortable living and while
he’s not fascinated by electronic gadgets (beyond his phone), he's
willing to spend substantial dollars on a tool if it can save him driving
time and aggravation and if the tool doesn't introduce many new hassles
to his life.
D.’s goals include:
• Make lots of money and invest it effectively.
• Minimize unpredictability and prevent surprises wherever possible
in life. D. Mann hates chaos and he works very hard to organize things.
• Impress friends and colleagues.
• Minimize wasted time.
Brianna
Bridger is a 24-year-old art school student who moved here a
year ago from Minneapolis and she drives about 10 miles to school every
day, from Oakland to the California Academy of Arts and Crafts near Nob
Hill in San Francisco.
She wears an organic hemp shawl during the cold
months and t-shirts and shorts or pants with a cute and ironic trucker
hat during the hot months. She heads out for school between 7 and 9 each
morning (she has 8 a.m. classes on Mondays, Wednesdays and Fridays and
10 a.m. classes on Tuesdays and Thursdays). Two days a week she bikes
to the BART station, puts her bike on the train, then cycles the rest
of the way to school upon arrival in San Francisco. She can’t take
her bike the other three days a week because bikes aren’t allowed
between 7 and 9 a.m., and that doesn’t jibe with her 8 a.m. classes.
She owns a 1996 Honda Accord and she likes the
idea of ditching the car to save money and reduce air pollution, but public
transportation in the Bay Area is too limited to serve her needs. Also,
on the weekends, public transit is far too much of a hassle to figure
out and too unreliable as well. A big problem for Brianna is the lack
of late-night weekend public transit options that will get her home if
she wants to stick around after school for parties in the city, because
the BART stops running at 12:30 a.m. When considering an unfamiliar route,
she usually finds it so much easier to just hop in the car than to mess
around with alternative transit so she drives more than she’d like.
She hates having to merge in traffic and having
to stop unexpectedly so she tends to pay close attention to the traffic
up ahead. While she’s quite computer literate and loves using desktop
computers for her art projects and for research, she’s not very
attracted to the idea of using digital devices in the car because she
wants to focus on the road. She especially hates not knowing whether a
traffic jam is temporary or long-term; she thinks that better knowledge
of these situations, along with better knowledge of alternate transit
options, would help her to undertake her commutes more effectively.
Brianna’s goals include:
• Reduce any negative impact she has on the environment and on society,
both globally and locally.
• Spread consciousness of the social and environmental issues she
cares about by setting a good example of a responsible global citizen.
• Succeed as a student and as an artist.
• Avoid stress and hassles
Manolo
Innskeep is a 52-year-old hotel owner and manager who lives in
the San Francisco neighborhood of Glen Park, and he enjoys a relatively
painless daily BART commute to and from his small hotel near Union Square.
He dresses humbly and conservatively. His home is a three-block stroll
from the Glen Park BART stop, and his hotel is a four-block walk from
the Powell station. He’s not rich by any means, but he’s a
third-generation San Franciscan who purchased his spacious house from
relatives before Glen Park real estate became insanely expensive.
He hates traffic and parking hassles and he loves
this arrangement because he rarely takes his car out of his garage; he
does drive to the supermarket once a week but that’s an easy jaunt
up and down never-congested O’Shaughnessy Boulevard and there’s
always plenty of parking at the Safeway.
But this enviable state of affairs has spoiled
Manolo a bit. When he heads out of town on occasional weekend day trips
he has trouble summoning the patience and the confidence and the wisdom
about local traffic patterns that his neighbors have honed during their
daily visits to parking-space purgatory and commuter hell. He does like
to head up for an occasional weekend visit with friends in Sonoma. He
also enjoys driving out to Half Moon Bay or Pacifica for a relaxing afternoon
on the shore on Mondays when the weather is nice. (He has Mondays off.)
But he’s quite timid about such drives because the only thing he
dreads more than being caught in heavy traffic is getting lost, as he
has done on several occasions when he tried to alter his planned route
to escape traffic jams.
He’s not a risk taker, so right now Manolo
is very hesitant to try out alternate routes and when heading out for
a road trip he tends to stick with the directions that friends or Mapquest
recommend. But if he had a source of easy and reliable information concerning
alternate routes, he’d be happy to take those alternatives.
Manolo's’s goals
include:
• Minimize dangers to his health and happiness
• Avoid uncertainty
• Please his customers
• Avoid stress and hassles
• Get out of the city more often
Aymanna
Holiday, 35, moved to Mountain View two months ago from Chapel
Hill, North Carolina to take a high-tech job in San Jose. She’d
never been to California before moving here, and she still feels like
she’s on vacation in this strange and exciting region.
It usually takes her between 25 and 40 minutes
to get from home to work along the route that Mapquest recommends; unpredictable
rush-hour traffic levels cause this wide variability in commute times
and this annoys her. As a newcomer she’s still smitten by the charms
of the Bay Area so she hasn’t yet reached the level of irritation
that her fellow commuters experience. But as time goes on her road-rage
level is rising and she’s already looking for ways to reduce her
traffic hassles. A few times she left home early to experiment with alternate
routes, but each time these experiments just worsened matters, getting
Aymanna to work nearly an hour after leaving home.
She starts work at 9 a.m., but traffic is less
of a problem by the time she gets off, usually around 7 p.m. At that point,
she can take the Mapquest route and almost always get home in 20 minutes,
so she’s not really concerned about traffic information on the way
home. Aymanna is still learning the ropes regarding Bay Area driving but
she wants to look beyond the standard ways of doing things; she’s
actively experimenting and playing around with new tools and methods for
the purpose of making the morning commute less painful, even if that means
she’ll lose time in the short term and arrive at work late a few
times in the process.
She has a PDA and she briefly toyed around with
a GPS direction-finding application but she found it to be a lot of trouble
and not very useful at all. She’s looked into some of the local
online traffic-reporting services and sometimes she listens to the radio
traffic reports while driving, but she doesn’t have much patience
for these resources because they waste her time with a lot of information
about traffic throughout the Bay Area when all she cares about is a very
tiny subset of all that data: conditions along her potential routes to
work.
Aymanna’s goals include:
• Avoid stress and hassles
• Maximize the efficiency of regular tasks and chores, without being
completely anal and without devoting too much time and effort to planning
• Explore the Bay Area and make new friends
• Keep up-to-date with new time-saving technologies, without wasting
too much time doing so
Task Table
A: Details
D. MANN, ESQ. |
Task
|
Frequency |
Importance |
Details |
Learn about substantial changes
to upcoming commutes caused by traffic congestion |
Sometimes |
High |
1. Receive alerts when recent traffic
problems might affect the standard daily commute
2. Specify new planned trips and quickly learn of any recent (or
predicted) congestion that might affect the choice of routes.
3. Doesn’t want to spend much time configuring or viewing
functions associated with this task |
Consider and choose alternative routes |
Frequently |
Medium |
1. Quickly view a visualization of several
suggested routes for his next trip to or from work, including indicators
of up-to-date expected traffic densities and estimated trip times
for each route.
2. Specify an upcoming trip and view visualizations of several
suggested routes for that trip, including indicators of up-to-date
expected traffic densities and estimated trip times for each route.
|
Determine best departure time |
Frequently |
Medium |
1. Before a commute, quickly view an estimation
of the ideal time to leave (within 30 minutes of his standard departure
time) in order to get home (or to work) in the shortest amount of
time.
2. Before a road trip, specify starting and ending points for that
trip, then quickly view an estimation of the ideal time to leave
(within 3 hours of his expected departure time) in order to reach
the destination in the shortest amount of time. |
More accurately estimate car trip durations |
Sometimes |
Medium |
1. Quickly view an estimate of how long the next
commute will take, based on current and expected traffic, without
having to specify starting and ending points with each use.
2. Specify an upcoming trip route and quickly view an estimate
of how long the trip will take, based on current and expected traffic.
|
BRIANNA BRIDGER |
Task
|
Frequency |
Importance |
Details |
Find ways to fit public transit
into travel plans more often |
Sometimes |
High |
1. Quickly view a visualization
of several suggested routes for her next trip to or from school,
including indicators of up-to-date expected traffic densities and
estimated trip times for each route, including public transit as
well as driving options
2. Specify an upcoming trip and view visualizations of several
suggested routes for that trip, including indicators of up-to-date
expected traffic densities and estimated trip times for each route,
and including public transit as well as driving options
|
Determine best departure time
|
Sometimes |
Medium |
1. Before a road trip, specify starting and
ending points for that trip, then quickly view an estimation of
the ideal time to leave (within 3 hours of his expected departure
time) in order to reach the destination in the shortest amount of
time, and therefore with the less amount of air pollution produced.
2. (Less frequently) Before a commute, quickly view an estimation
of the ideal time to leave (within 30 minutes of his standard departure
time) in order to get home (or to work) in the shortest amount of
time.
|
Learn about substantial changes to upcoming commutes
caused by traffic congestion |
Sometimes |
Medium |
1. Specify new planned trips and quickly learn
of any recent (or predicted) congestion that might affect the choice
of routes.
2. Doesn’t want to spend much time configuring or viewing
functions associated with this task
3. Receive alerts when recent traffic problems might affect the
standard daily commute.
|
Consider and choose alternative routes |
Sometimes |
Medium |
1. Quickly view a visualization of several suggested
routes for next trip to or from school, including indicators of up-to-date
expected traffic densities and estimated trip times for each route.
2. Specify an upcoming trip and view visualizations of several
suggested routes for that trip, including indicators of up-to-date
expected traffic densities and estimated trip times for each route.
|
MANOLO INNSKEEP |
Task
|
Frequency |
Importance |
Details |
Consider and choose alternative
routes |
Sometimes |
High |
Specify an upcoming trip and
view visualizations of several suggested routes for that trip, including
indicators of up-to-date expected traffic densities and estimated
trip times for each route. |
More accurately estimate durations of car trips
|
Sometimes |
Medium |
Specify an upcoming trip route and quickly
view an estimate of how long the trip will take, based on current
and expected traffic. |
Determine best departure time |
Sometimes |
Med |
Before a road trip, specify starting and ending
points for that trip, then quickly view an estimation of the ideal
time to leave (within 3 hours of his expected departure time) in
order to reach the destination in the shortest amount of time. |
Learn about substantial changes to upcoming commutes
caused by traffic congestion |
Rarely |
Low |
1. Doesn’t want to spend much time configuring
or viewing functions associated with this task
2. Receive alerts when recent traffic problems might affect the
standard daily commute. (Manolo expects such alerts to be very rare
because BART doesn’t usually get very backed up.)
|
AYMANNA HOLIDAY |
Task
|
Frequency |
Importance |
Details |
Learn about substantial changes
to upcoming commutes caused by traffic congestion |
Frequently |
High |
1. Receive alerts when recent
traffic problems might affect the standard daily commute
2. Specify new planned trips and quickly learn of any recent (or
predicted) congestion that might affect the choice of routes.
3. More willing than other users to devote time to this task
|
Consider and choose alternative routes |
Sometimes |
High |
1. (More frequently:) Quickly view a visualization
of several suggested routes for the next trip to or from work, including
indicators of up-to-date expected traffic densities and estimated
trip times for each route.
2. (More frequently:) Specify an upcoming trip within the Bay Area
and view visualizations of several suggested routes for that trip,
including indicators of up-to-date expected traffic densities and
estimated trip times for each route.
3. (Less frequently:) Spend more time exploring many potential
routes to and from work and examining the typical expected trip
duration for each.
4. (Less frequently:) Spend more time exploring different time-of-day
alternatives for these potential routes to and from work, and examining
the typical expected trip duration for each based on when she leaves.
|
Determine best departure time |
Sometimes |
Medium |
1. Before a commute, quickly view an estimation
of the ideal time to leave (within 30 minutes of his standard departure
time) in order to get home (or to work) in the shortest amount of
time.
2. Before a road trip, specify starting and ending points for that
trip, then quickly view an estimation of the ideal time to leave
(within 3 hours of his expected departure time) in order to reach
the destination in the shortest amount of time, and therefore with
the less amount of air pollution produced. |
More accurately estimate durations of car trips
|
Sometimes |
Low |
1. Quickly view an estimate of how long the next
commute will take, based on current and expected traffic, without
having to specify starting and ending points with each use.
2. Specify an upcoming trip route and quickly view an estimate
of how long the trip will take, based on current and expected traffic.
|
Task
Table B: Frequency and Importance Summary
KEY: |
Color shows importance:
= High,
= Medium,
= Low. |
|
Shape shows frequency:
= Frequently
= Sometimes
= Rarely. |
Task |
D. Mann |
Brianna Bridger |
Manolo Innskeep |
Aymanna Holiday |
Plan and Manage Regular Commutes |
|
Consider and choose alternative routes for next
commute |
|
|
|
|
|
Print alternate route directions |
|
|
|
|
|
Determine best departure time |
|
|
|
|
|
Quickly view estimate of next commute's duration |
|
|
|
|
|
Sign up for alerts regarding traffic problems to
affect commute(s) |
|
|
|
|
|
Find ways to fit public transit into commute plans
more often |
|
|
|
|
Plan and Manage Occasional Road Trips |
|
Consider and choose routes for planned road trips |
|
|
|
|
|
Print alternate route directions |
|
|
|
|
|
Quickly view estimate of previously-entered trip's durations
|
|
|
|
|
|
Find more ways to fit public transit into road
trip plans |
|
|
|
|
|
Sign up for alerts regarding traffic problems to
affect upcoming road trip(s) |
|
|
|
|
|
Determine best departure time |
|
|
|
|
Summary
of Interview Results
Interview Participants
We interviewed 9 Bay Area drivers:
- Rella and Kat, seasoned Bay Area residents who commute 45+ minutes to
work.
- Kenna, a new Bay Area resident who has a short daily commute.
- Dave, John and Janna, long-term residents who have short commutes but
still drive 7 days per week.
- Jayna, new to the Bay Area, who commutes some days and drives on weekends.
- Luba, a long-term resident who commutes some days and drives on weekends.
- Parker, a seasoned Bay Area resident who drives only on weekends.
Interview Questions & Results
1. Describe age, familiarity with the Bay Area, driving frequency, &
daily commute.
Age
Ages ranged from 22—54.
Familiarity with the Bay Area
- Familiarity with Bay Area highways ranges from 5—9 out of 10,
with 10 as most familiar.
- 2 people are new to the Bay Area within 8 months.
- The others are seasoned residents who have lived in
the Bay Area for 1.5—14 years.
Interview
- Of the Interview , 4 drive 7 days/wk; 1 drives 6 days/wk;
1 drives 5 days/wk.
- Both participants who commute some days drive 4 days/wk.
- The weekend driver drives 1 day/wk.
Daily Commute
- 4 people have short commutes of 6-15 miles (each way),
which takes 15-20 minutes.
- 3 people have average commutes of 20-25 miles, which
takes 25-45 minutes.
- 1 person has a long commute of 80 miles each way, which
takes 1 hr and 45 minutes.
- 1 person does not commute.
Most Traversed Freeways
- The most popular freeways among our participants are: 101, 80, 880 and
280.
- Additional freeways people listed were 580, 980, 24, 237, 85, 17, Lawrence
Expwy, San Tomas.
- Most participants mentioned the Bay Bridge as a key traffic corridor
in weekend driving.
2. What are the biggest problems you encounter while driving?
- parking: All participants complained
that parking is difficult to find. To illustrate, here are some sample
quotes from interviewees:
The weekend driver describes a Friday night trip
into SF: “…[After being stuck on the
bridge for the hour,] I have to circle around for parking for 10-15 mins.
By this time I
really want to get out of the car. When backing into a parallel parking
spot I might get
careless and accidentally bump into the car parked behind me.”
A new Bay Area commuter describes her drive home
from work: “…[When I arrive
home,] sometimes have to circle around for parking because of street sweeping.
I have
to think about what Tuesday it is… to figure out whether it’s
street sweeping day and
what side of the road to park on. I can’t park on the main road
by my house because
it’s a high-crime area, and our car is threatened there. I must
park on a less busy road.
Also I make sure not to park on a hill, because our car is a standard.
At 7 pm, when
everyone is home from work, only 2-3 spots for me to choose from…
it can take 10 mins
to find a spot on Street Sweeping Days.”
- sudden changes in traffic: Nearly all participants
mentioned stop-and-go traffic as a major irritant in freeway driving.
Some illustrative quotes:
“I hate sudden changes in the flow of traffic
on freeways—being able to cruise but then having to screech to a
stop all of a sudden. This causes me to almost get in wrecks a lot of
time. It would be helpful to have some warning ahead of time for when
traffic is going to stop.”
“One of my biggest problems is stop &
go traffic in unexpected places; traffic at arbitrary times when there’s
no reason for it… 580 gets busy at random times, I can’t figure
out when.”
- not knowing how long a traffic jam will last: All participants
expressed frustration at not having enough information about the traffic
situation. In their words:
“It’s hard to make decisions when I
don’t know how long the traffic buildup will last. Is it for the
next mile, or is it all the way up 880 to San Jose? If it’s all
the way to San Jose then I could get off & go faster.”
“I time my commute for 45 mins… then
one day traffic will be stopped. I can’t see an
accident so I don’t know what;s happening. Traffic seems hit-or-miss.
I have no idea
when it’ll let up—it’s very frustrating.”
- changing lanes quickly: 2 drivers mentioned that changing
lanes really quickly in traffic while merging is highly stressful. One
driver says:
“A classic example is going to Oakland from
Berkeley on 580. You have to go over 5
lanes. It’s confusing to know when to switch over to which highway.
You’re constantly
changing lanes, and you can’t screw up… each lane leads to
a different highway and it’s
difficult to get back on the right track once you make a mistake.”
3. For weekend and recreational driving, how important is traffic
information?
- 3 people said traffic is very important
for weekend trip planning;
- 4 people said somewhat important;
- 2 people (including the weekend-only driver) said not very important.
4. For your commute, how
important is traffic information?
- All of the commuters say traffic is a
very important consideration.
- Traffic affects departure time for all commuters: they
try to avoid rush hour and other times when the freeway is known to be
particularly congested.
5. When you hear of an accident ahead, are you likely to change
your current route?
- All participants said they are likely
to change their route upon hearing of an accident or encountering congestion,
though they would be less likely do this on a weekend drive than they
would during their daily commute. (This assumes an alternate route exists…
eg, several people pointed out there is no alternative once you’re
on a bridge).
- One participant described the psychological
benefit of changing the route:
“I like the psychology of playing the game
of maximizing time efficiency. I like to think
my efforts make a difference! Being proactive is psychologically rewarding
in itself,
even if time savings are insignificant. It’s a placebo effect.”
6. When you hear of an accident ahead, what information do you
need to decide whether to change your route?
- what are the alternate routes?
All participants said they need to know what options they have for alternate
routes, and directions for taking those alternate routes.
- are the alternate routes faster?
Two people mentioned that the more useful information is whether the alternate
routes are faster. Specifically:
o What’s the traffic like on
the alternate route?
o Are there stop lights or stop signs on the alternate route?
o What’s the speed limit on the alternate route?
o Is everyone else taking the alternate route, too?
- how long will traffic be backed up?
One participant pointed out that she would like to know how long the traffic
backup will last—if it’s only one more mile, then it’s
not worth taking an alternate route.
7. What are your sources of knowledge about the traffic bottlenecks
on your most frequent route(s)?
In order of importance, our participants use the following sources:
o personal experience
o radio
o friends and coworkers
Only one person currently uses the Internet to
obtain traffic information.
8. Would you consider taking public transit if it were faster
than driving because of traffic congestion?
- 6 people said yes
- 2 people said no/no option
- 1 person said maybe
9. How much does parking factor in to your travel planning?
- 2 people said greatly: parking availability
is essential to the trip.
- 4 people said somewhat, depending on
how much time is available and whether parking costs money.
- 3 people said not much
10. What tools do you utilize to assist in travel planning?
o MapQuest (7 people)
o Yahoo! Maps (5 people)
o Paper maps (3 people)
o OnStar/GPS (1 person)
10a) What features are helpful with MapQuest & Yahoo! Maps?
- customized, step-by-step, accurate directions
- number of miles to the destination
- the graphic map
- estimated travel time
One participant said, “MapQuest makes it
easy to plot a map. I find this helpful to orient myself in a neighborhood
like a paper map.” Another participant added: “MapQuest is
changing the way people give directions. MapQuest is better than verbal
directions... the old tradition of getting verbal directions is based
on having a general knowledge of the area. MapQuest really helps the transient
person.”
10b) What problems have you encountered with these tools?
- poor estimates of travel time. One participant
said, “I ignore the travel time estimates completely. MapQuest tries
to give a conservative estimate if there’s no traffic. I.e., if
there’s no traffic, mapquest totally overestimates the travel time
and I can go faster. Conversely, when there is traffic, MapQuest will
greatly underestimate the time and it takes me much longer to reach my
destination.
- no traffic information. This makes it
difficult to accurately plan for time of travel.
- occasionally wrong directions.
- inability to view multiple routes. One
participant complained, “I can’t see multiple routes on the
same map, even if they're close. Let’s say first I need to go to
the store, then some other place. MapQuest makes me look at separate routes
in different windows.”
- no personalized archive of visited places.
- directions ignore one-way streets. |