2. collaboration with horticultural scientists and interaction papers from the HCI literature. The outcome of the study
designers. A later study then described the investigation was a summary of key motivational techniques that HCI-
of how gardeners responded to advice from the software. designers should be aware of to promote pro-
environmental behaviour (Froehlich et al., 2010; Kappel
The SGW system takes the form a simulation in which
& Grechenig., 2009; Kuznetsov & Paulos, 2010).
where the gardener first defines various parameters for
his/her garden and, based on the data, a profile of water “Information must be easy to understand, trusted, attract
demand for the garden is visualized. This comprises a attention and is remembered“ (Brewer & Stern, 2005)
watering schedule that shows the ideal frequency of when
Using information as a key motivation technique, Al
to water and the duration of watering required. The
Mahmud et al. (2008) conducted a study exploring the
findings from a second study presented the types of
information given from three different visualization
factors that brought confidence or lack of trust in the
media (text, audio and video). The goal was to make
visualized horticultural model and its application to a
people more conscious about their energy use in their
specific garden (Pearce et al., 2009). An issue raised in a
home setting. They developed a mobile application called
later study was the disconnect between sitting at a
EZ Phone (Energy Zaving Phone) and conducted a pilot
desktop computer and exploring the horticultural issues in
study in which they explored the three media’s
a technological context and actual garden practice (Pearce
effectiveness in persuading users to conserve energy. The
et al., 2010). This disconnect between being in the garden
outcome from the study was that text was perceived to be
and at the desktop leads us to look at research carried out
most persuasive, and video was the least persuasive in
using other technology platforms – notably mobile
changing people’s behaviour to consider energy use.
devices – to persuade people to change their behaviour.
A similar study by Roubroeks & Ham (2009) explored
In the past 5 years, the functionality of mobile devices has
given information about energy conservation through
gone through a drastic change from solely providing basic
three different information-methods (text only,
applications to more tailored and advanced programs. By
text+picture, text+video). They developed and tested a
looking at the present market for mobile applications,
screen-based system. Findings from Roubroeks et al.’s
Apple’s ‘App Store’ (currently the largest application
study showed that the most effective way to persuade
store) shows the great demand for tailored applications in
people in adapting their behaviour in a proposed direction
today’s world (Apple, 2010).
was by using pictures to illustrate or expand on text.
The founder of Stanford Persuasive Technology Lab, B.J.
The earlier research described above (Fogg, 2004;
Fogg, predicted a few years back that mobile devices
Roubroeks & Ham, 2009; Froehlich et al., 2010; Brewer
would be the dominant platform for persuasion,
& Stern, 2005) suggests that information the gardeners
mentioning that mobile platforms could motivate people
need to support the goal of changing their environmental
to achieve their own personal goals (Fogg, 2003; Fogg,
behaviour should be received on a mobile device,
2009). He saw the mobile phone as helping to succeed
mediated as text with pictures. The information should be
like a magic wand. He further commented: “Mobile
trustful and attract attention if it is to persuade people to
technology can layer information into our moment-by-
change their behaviour. The rest of this paper presents the
moment lives in a way that changes our behaviour”. We
design, development and evaluation of an early prototype
therefore propose that the power of mobile persuasion can
to explore how information given to persuade people on a
and will be used to enhance the quality of today’s society
mobile phone might change their environmental
by motivating people to use water more wisely and
behaviour.
perhaps change their watering practice.
Furthermore, our mobile devices are able to gather and RESEARCH DESIGN
report current and localized information, which is The study reported here explored three sources of
relevant to us and our contextualized goals. For that information (scientific weather data, expert’s advice, and
reason, mobile devices have the potential to help motivate community information) presented on a mobile device,
people more effectively than any other platform that they and investigated each source’s role in persuading people
use in their daily life. According to Fogg (2003), drawing to adapt their behaviour in a proposed direction. These
on previous psychology research, tailored applications three sources of information were provided via a mobile
have the tendency to be more effective than generic web-application called Smart Garden Watering Advisor
information in changing attitudes and behaviours (see (SGW Advisor 2011). The prototype application was
also Jimison, 1997): developed and deployed with 10 gardeners in Melbourne
in a study over 5 weeks.
“Information provided by computing technology will be
more persuasive if it is tailored to the individual’s needs, The participants were interviewed before and after they
interests, personality, usage context or other factors used the prototype over a period of 3 weeks. The pre-use
relevant to the individual” (Fogg, 2009). interviews focused on exploring and understanding the
participants’ current garden knowledge and their use of
Several projects have in various ways tried to persuade IT-devices in their daily life. The pre-interview session
people with technology to become more conscious about was also used as an introduction to the mobile prototype.
reducing environmental impact (eco-feedback The prototype explored different ways of supporting
technology). Froehlich et al. conducted a comparative gardeners with information, to make them become more
study of 89 environmental psychology papers and 44
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3. Figure 1. SGW Advisor showing the Home screen (left) and the four subsequent screens.
water-wise and change or correct their watering watering schedule is set initially by the user and in
behaviour. The post-use interview focused on how the agreement with the actual water restrictions in the current
prototype facilitated information to the participants, and state (Melbourne Water Restrictions, 2011).
their reflections on the three different sources of
Users are also provided with the information about the
information they had been introduced to during the 3
level of the current water restrictions and how these
weeks study using the SGW Advisor
restrictions apply to the different watering methods (hand,
manual or automatic watering).
THE SMART GARDEN WATERING ADVISOR
The main goal of the Smart Garden Watering Advisor
Advisor menu
(SGW Advisor) was to explore whether gardeners found
The Advisor menu shows an overview over the incoming
the mobile application supportive by giving them helpful
messages from the system. The unread message(s) from
information about their garden watering. We also
the system are shown with an icon of an unopened
explored what role the actual sources of information
envelope and read message(s) are shown as an opened
played in their decision to either water or skip a watering
envelope. By clicking on each message, the message
in their current watering schedule. We asked: Do the
opens and the reader is able to read the content of the
gardeners find the provided information trustful, and do
message. This menu was the most important part of the
they act on the given information?
system as the incoming messages allowed users to
One of our key intentions in the study was that the SGW explore the three information sources.
Advisor system and its use should be as realistic as
possible. Therefore, the weather information was given in Daily Input menu
real-time and localised to the nearest weather station. The Daily Input menu is where the user is able to feed
Even though the system presented in this paper can be information into the system such as whether they have
seen as a technology prototype, our goal was to explore been watering the current day or not. The information is
the role of the different sources of information played in sent to a database, which is described in details in a later
advising the participants, rather than to explore technical section.
or usability matters of the software itself.
Three information sources
Design of the SGW Advisor prototype The three different sources of information explored in this
The SGW Advisor application is designed with a ‘home study were information about expert’s choice, garden
screen’ as its main window. The main window contains community and weather – see Figure 2.
four menus items: Weather, Schedule, Advisor and Daily
Input – see Figure 1.
Weather menu
The Weather menu provides information about the local
weather for the weather station that the user lives closest
to. It gives specific information about the current
temperature, latest rainfall and humidity – see Figure 1. It
also provides information about the last 2 days min/max Figure 2. Icons for the three information sources
temperature, total rainfall, evaporation and average
Expert’s Choice
humidity.
The expert choice presented scientific weather data
Schedule menu
(Bureau of Meteorology, 2011), combined it with
The Schedule menu gives information to the user about information from a knowledge database (SGW) and
their current watering schedule for the next 3 days. The provided information in the inbox as to whether to skip,
add or follow the regular watering schedule. The
245
4. messages were sent to the participants from an animated normal schedule’). However, the information from
water drop, named Watie (Figure 2). gardening community was in conflict with with the
expert’s choice and suggested adding an extra watering
Garden Community beyond the regular watering schedule (‘68% plan to add
This relates to the messages about what other gardeners an extra watering’).
are planning or already doing in their gardens. The
information could be whether the majority of the Technical Design
community wanted to skip or add an extra watering to The prototype software was implemented in 6 weeks by a
their regular watering schedule. single researcher (the first author). To avoid dependence
on a single mobile platform (e.g. iPhone/Android
Weather application) the system was implemented as a mobile
Messages received in the inbox were the scientific website. The mobile website was developed by using the
weather information from the Bureau of Meteorology open-source framework ‘iWebkit’ for iPhone mobile
(BoM). The information provided in the weather websites (iWebkit, 2011)
messages were objective and accurate information, in
comparison to the other sources mentioned above. This The system communicated with a PHP MySQL Server
message was provided to bring a diversity of information. database in real-time, to ensure that actions from the users
were logged by the system. The scientific weather
The six incoming messages
information was obtained by running a script, extracting
During the three weeks of the study, the participants the data from the Bureau of Meteorology’s website, and
received six different messages in the Advisor inbox from saved in the MySQL Server database. The SGW Advisor
the three different sources. The six messages contained then extracted the weather information from the MySQL
advice on whether to add an extra watering day or to skip Server database and added the information to the users
a watering day compared to the current schedule. Every screen on the weather information page. When a user
time a message was sent to the Advisor inbox, the interacted with the SGW Advisor and entered information
participants also received a SMS on their mobile phone. into the system, the data were saved in the MySQL Server
Fogg conducted a healthcare study in which he mentioned database. This technical design is illustrated in Figure 5.
that using SMS messages to notifying people, has a great
USER STUDY
potential to trigger them to a proposed behaviour (Fogg &
Allen, 2009). The three messages shown in Figure 3 are The prototype was deployed in a study with 10
the messages that displayed only one information source participating gardeners. The objective was to explore how
in each message. These messages were from the weather, the gardeners used the prototype, and their choice and
expert’s choice and the garden community, respectively. preferences of the given messages from three different
information sources.
Participants
The participating gardeners were recruited through a
gardening course at Burnley Campus, University of
Melbourne, and some through a Danish society, called
Young Vikings, in Melbourne,.
Each participant had to meet a basic set of criteria to be
selected for the study. They had to have a garden located
Figure 3. The three messages with only one source of in the greater Melbourne area. They were also required to
information in each message have either a smartphone that allowed them to browse the
Internet (Apple iPhone, HTC-mobile or BlackBerry) or a
The final three messages users received were mixed Google Chrome/Safari Internet browser on their personal
messages, each with two different sources of information computers. Furthermore, all the participants were
(Figure 4). required to have a mobile phone, which could receive
SMS-messages for the notification about the incoming
messages in the SGW Advisor.
The participants were asked to use the SGW Advisor at
least once a day for the normal “Daily Input” data entry,
which took approximately 2-3 minutes to do. Furthermore
they were also asked to check their mobile phones for
incoming SMS-messages, and to read and response to the
received messages in the SGW Advisor Inbox during the
Figure 4. The final three messages, each with two different study. The participants could use the SGW Advisor
sources of information whenever they wanted to throughout the day.
For example, the fourth message the participants received Ten participants, 8 from the gardening course and 2 from
(first image in Figure 4) was information about the expert Young Vikings, were chosen for the study. The
advising about appropriate behaviour (‘Follow your participants had a spread of ages from 25 to 57. The
246
5. participants’ garden knowledge varied, with 4 novices, 4 conditions) and using the SGW Advisor to inform their
intermediate and 2 expert gardeners. Out of the 10 decision as to whether to water or not. The use of the
participants in the study, 5 had a smartphone that allowed same pea plant across all participants controlled for other
them to browse the Internet, and the rest used a Chrome garden factors that might have influenced their behaviour.
or Safari Internet browser on their personal computer. The participants were required to enter information every
day into the SGW Advisor as to whether or not they had
Method and data collection watered the plant.
The initial meeting with each participant began with a
quick tour of their garden was conducted, where the The day before the actual case study began, the
researcher and the participant had a chat about their participants received a document with their regular
garden and watering systems. The intention of this chat watering schedule for the pea plant and descriptive
was to “break the ice” between the participant and the information about the three information sources they
researcher. This was followed by a semi-structured would receive messages from during the study. During
interview to obtain a general understanding of people’s the study the SGW Advisor system was monitored
garden knowledge and current gardening practice. remotely and any technical problems with the system
were solved as quickly as possible. Every time a
Among the questions asked were how they currently participant interacted with the system their input was
made use of any IT devices and how they obtained saved in the database of the system.
information about appropriate gardening practices. The
interview lasted 20 minutes. A version of the SGW After the three-week period, a second semi-structured
Advisor was introduced to the participant. The researcher interview was conducted with each participant. The
went through the SGW Advisor with the participant, and purpose of this second interview was to discuss the
the participant was free to ask questions about the case different information sources that they received via the 6
study. During this introduction, the participants received a incoming messages: what information sources they liked
manual that described the system step-by-step, to prevent and disliked, and what messages they found most credible
any later problems during the case study. and useful. Participants were first asked questions
reflecting their use of mobile devices as a supportive tool,
The study was conducted during spring in the antipodes. followed by questions about how the three different
However, the weather in Melbourne area varies sources of information were interpreted and used to reach
considerably day by day during this season. The majority watering decisions. Each of the 6 messages was discussed
of the people living in the metropolitan area of Melbourne one by one. To remind the participants about the
do not need to water their plants in this period. Hence, for messages, small laminated cards displaying physical
the purpose of the research, a pea plant seedling in a pot illustrations of each message were presented during the
was given to each participant – this provided a questioning. Finally, the possible benefits and drawbacks
‘simulated’ garden to take care of during the study. of the SGW Advisor system were discussed.
Each participant was asked to look after their plant during The system was tested on both smartphones and on
the 3 weeks of case study; this required of watering it personal computers with particular aims in mind. For the
regularly (probably once a day but depending on participants with smartphones, the system was tested to
Figure 5. Structure of the system showing data sources (left), the SGW Advisor system (centre), and information flow (right).
247
6. obtain reflections on the usage of the system on a mobile The participants agreed that the preferred platform in the
device and to see whether the participants found it case study should be on a mobile platform rather than on
persuading on this kind of device (Fogg, 2003). For the a personal computer.
participants that used the system on a personal computer,
the purpose was to obtain their reflections on using the Skip, Add or Both
system on a desktop and their thoughts about the The question was discussed as to whether it was valuable
disconnect between sitting at the desktop and doing the to receive advisory information about when to add an
work in their garden (Pearce & Murphy, 2010). The extra watering or not. Nine out of 10 participants wanted
participants used the system almost every day and each the system to advise them on when to add an extra
participant remembered to respond on the 6 incoming watering session if their plants needed water. A
messages. participant said that both notification methods were
useful because:
Data analysis
Selected coding techniques from Grounded Theory “...even in summer you sometimes need to water an extra
(Strauss & Corbin, 1990) were used to analyse the data. time, or skip a watering suddenly because of heavy rain.”
These were applied by the first author of this paper.
If we look at the number of times the participants tended
Twenty audio recordings of 10 pre- and 10 post-interview
to add or skip a watering day according to the provided
responses were transcribed.
messages in the study, we see a progression in the three
During this process, significant points made by weeks of study. The number of skipped watering days
participants were marked in the style of Open Coding. In increased from 4 in the first week to 9 in the last week of
total, 273 such significant elements were identified and the study. Meanwhile, the number of added watering
subsequently categorized as 72 different phenomena. By days decreased from 6 in the first week, to 2 in the last
using Axial Coding, connections between the different week of the study. The participants tend to skip more
phenomena were made and formed into 12 categories, watering-days and added fewer watering-days – this was
nine of which we discuss in the next section. These were possibly because they learned to understand the messages
then organised into four themes. Each of these themes is better with time.
central in the analysis and is presented in the final
‘Discussion’ section. Push vs Pull information
The question of whether the participants wanted the
FINDINGS information to be pushed to them, or they wanted to pull
it from the system, was discussed. Nine out of 10
Reactions to using the system
One of the research questions was to explore whether participants liked to be notified and reminded when there
gardeners found the mobile device supportive for their was a message in the system. The notification through
watering decisions. For this, the incoming 6 messages SMS was for the majority of the participants a good
during the case study were used as a basis for discussion, method and triggered them go online and check their
focusing on whether they found the mobile device useful message. One participant expressed:
or not. The results from these discussions are described in “SMS was very good, I really like the way it reminded me
this section, and discussed further in the ‘Discussion’ about to check my system for messages.”
section.
The SMS messages were good reminders for the
Actual vs. Preferred platform participants to act and make decisions they possibly
Out of the 10 participants in the study, 5 participants used would not have been taken if the messages were not
the system on a mobile platform and the rest on a pushed to them.
personal computer. The participants were asked to discuss Automatic vs manual system
the platform they used during the case study. Nine out of The participants were asked about what type of watering
10 participants preferred the system on a mobile device. system the SGW Advisor system would be more suitable
One of the participants expressed: for. The majority of the participants thought that the
system would work best in gardens with manual watering
“I found it very useful to have something in my hand and
systems rather than automatic watering systems because
mobile. I could see it on my mobile, instead of looking it
the gardeners would not have to make an effort each time
all up on my laptop. So you have the whole world in your
they have to skip a watering:
hand - a gardener would always be outside, so I found it
more useful for me.” “I think it would work best on a manual system than an
automatic system because you don’t need to switch the
Another participant who tried the system on his laptop
system on and off, and it could be problematic.”
said:
“I found it boring to do it on the computer. It would be Educational tool
more handy and mobile using the system on a phone than Eight out of 10 participants saw the system as an
the computer.” educational tool. One of the novice gardeners mentioned:
248
7. “the application makes people more conscious and And:
teaches them to have a better and more sustainable
“This Watie guy looks like a little cartoon guy and for me
garden.”
not believable at all.”
And another intermediate gardener expressed:
None of the participants complained about this
“Qualitatively, you try to teach and make people more information source, but they demanded more information
conscious about the water use – and I like that I can see about where the expert got his information from.
that the information that I read – makes me feel I am
“He is a cute little character, but you might have to
learning.”
legitimize him”.
Three sources of information Another participant expressed:
In total, 6 messages were sent to the participants from
three different information sources: BoM, Expert and “Watie should have more information before I would find
Community. Here we discuss participants’ responses to him more useful and I might be triggered to change my
each of these areas. first decision because of the extra information”
Weather Information However, not everyone questioned the expert’s
All 10 participants found the information from the information source, and other participants expressed the
incoming messages about the weather conditions following:
trustworthy. One of the participants in the case study “The expert’s choice was also okay for me. Because he is
expressed that: the expert, and he knows what’s right, so I believed him.”
“I found the weather information valuable and and “... I believed him – I took his advice, because I
believable, because the weather was hot, and the thought he was analysing the weather more than I do and
information about a low humid period was real and gave me an advice – that I could use.”
trustworthy.” The majority of the participants found the information
The majority of the participants rated the weather from the expert reinforcing what they were going to do,
messages as very useful and they found the information and in that case they found the information trustworthy:
given about humidity and rainfall realistic according to “Expert’s choice, that was fine. It kind of reinforced what
the weather throughout the case study. In the interviews a I was going to do, anyway.”
participant mentioned:
“Weather information is the most useful for me, because I Garden Community
assume that the weather information comes from the The information from the garden community was
BOM.” received as believable by the participants. Eight out of 10
found the information very believable and the majority
The participants in the case study thus had great trust in found the information useful in helping to make decisions
the scientific weather information from the Bureau of of what action they should take. One participant said:
Meteorology that led them to assess it as very useful
information source. Though, some of the participants “The gardeners had a bigger impact on me because they
mentioned that the content of some messages they are gardeners and their decisions are very useful for me,
received were difficult to understand. A participant so that’s why I went ahead with their choice of skipping a
expressed: watering.”
“I haven’t found out what high and low humidity means Another participant expressed:
to the garden.” “I found those gardeners more believable in my decision
whether to follow the advice or not … I would always
Another participant noted, listen to people than a machine telling me something…”
“I didn’t understand the humidity information”. However, a few participants expressed the view that not
all information provided in the messages from the garden
These misunderstandings of the humidity information in community were believable and one expressed:
the weather messages will be discussed further in the next
section. “The garden community out there is already pretty bad,
when I think about it. Think about all these people that
don’t have any clue what they are doing in their garden”
Expert’s choice and “I know that we as a population we way too much
The messages with information from the expert had a overwater our gardens.”
more mixed impact on the participants. Only 7 out of 10
participants found it trustworthy. Some of the participants Because of this lack of trust, their own decision had a
did not find the expert reliable. One participant noted: bigger credibility than the received messages. Some
suggestions were proposed:
“Expert’s choice – my problem with him, is that I don’t
know him, and I don’t know how he is finding the results. “More tailored information from other gardeners with
I am not sure, what to do with him.” same type of plants – I would definitely find the
249
8. information more believable and it might have changed experts received information only from the weather
my decision.” source (BoM).
The lack of trust and the suggestions for more tailored
Misunderstanding of messages
information in the messages will be discussed in the next Some of the participants in the study found some of the
section. messages received via the mobile device hard to
understand. This would severely reduce the possibility for
The three mixed messages
the information to persuade. Fogg (2003) addresses this
The 4th, 5th and 6th message the participants received in
as the Prominence-Interpretation Theory. He argues that
the study were each a combination of two information
to get a credibility assessment both prominence (the user
sources. Participants found them very useful and to one of
is notified and understands the information) and
the messages a participant expressed:
interpretation (the user makes a judgment about it) has to
“This message made me more comfortable about happen (Fogg, 2003).
skipping the watering, by seeing information about what
Therefore, the information provided to the user from the
other people did, and the rainfall number.”
system has to be understandable such it can be interpreted
The 6th message was also rated to be the most believable and be able to persuade the user to make a judgment
message and 9 out of 10 participants followed its advice (Brewer & Stern, 2005). Therefore, words like “low
and chose to skip a watering. These mixed information humidity” should be explained in further details so that
messages will be discussed further in next section. the user understands what is meant.
DISCUSSION More tailored information
Four interesting themes emerged from our analysis. Even The participants in the study wanted more tailored
though these themes were elicited from empirical data information in the messages they received, such as
about gardeners, we suggest they may also be relevant to information about their water-usage and rainfall measures
designing persuasive mobile technology in other domains in their own garden. With more tailored information
where consumption of resources is critical. These themes based on their own water-consumption and rainfall in
relate to the participants’ own judgements, their garden, they might have focussed more attention on
misunderstanding messages, desires for tailored the messages and hence process the information more
information, and the impact of mixed sources of deeply and be more likely to be persuaded by a plausible
information. message.
This supports Fogg’s theory about credibility. If the
Own Judgment
information is perceived as credible, it will have
While discussing the three different sources of
increased power to persuade. According to Fogg,
information, 6 out of the 10 participants mentioned that
credibility especially matters in HCI when systems like
their own judgment had the biggest impact when making
the SGW Advisor has to instruct or advice users, report
any decisions whether to add, skip or keep following the
measurements, or provide information and analysis
normal schedule. It appeared that the three information
(Fogg, 2003). Therefore, a focus on more information in
sources were not determining decision outcomes, either
the messages, such as contextualized weather information
individually or in any combination. Instead, some of the
in suburbs and information about the smaller garden
participants expressed that the messages they received
communities with similar plants in their neighbourhood,
only reinforced their own judgment of what to do.
could be more relevant and persuasive to the user.
What happened can be described as:
Mixed sources of information – better impact
Own judgment Behaviour
Nine out of 10 participants expressed that they found the
Where the desired result could be described as: mixed messages – with information from more than one
information source – very interesting. The ability to
Own Judgment + (w+e+c) New judgment Behaviour understand these mixed-source messages was considered
where w, e and c refer to the weather, the expert and the to be greater. This suggests that the probability of
community, respectively. perceiving the mixed message as credible support to
making a new judgment was greater.
A study conducted by Nansen et al. also showed that the
expert gardeners felt their intimate and detailed However, the use of too much information from different
knowledge about water usage in their own gardens was sources in a message sometimes lead to users feeling
always greater than any information that could be frustrated and failing to understand the message. It
provided by a generic system (Nansen et al., 2012). This sometimes resulted in no decision being taken – or little
adds another challenging issue, to look more specifically influence of the information sources. It may therefore also
at the different levels of gardeners, from novice to be important to consider which type of gardener the
intermediate to expert. Different sources of information message is sent to and how much information is needed
could be given to the different levels of gardeners; such to persuade. For instance, an expert gardener might need
as novice gardeners receiving information only from the more facts, especially from different information sources
garden community and the expert, where the garden to be convinced, where a novice gardener might be
250
9. persuaded with a single message from one information Arroyo, E., Bonanni, L. & Selker, T., 2005. Waterbot:
source. exploring feedback and persuasive techniques at the
sink. In Proc. CHI 2005 ACM, pp. 631-639.
CONCLUSIONS Australian Government - Bureau of Meteorology
This paper has explored how to design mobile technology http://www.bom.gov.au/vic.
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on whether to water over and above the sources of
Kaufmann Series in Interactive Technologies).
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aim of using information sources to persuade people's iWebkit Mobile Framework http://iwebkit.net.
pro-environmental or resource-conserving behaviour. By
Kappel, K. & Grechenig, T., 2009. Show-me: water
pushing tailored information from mixed sources the
consumption at a glance to promote water conservation
participants in this study were more open to persuasion.
in the shower. Proc. Persuasive 2009. ACM, pp. 1-6.
FUTURE WORK Kuznetsov, S. & Paulos, E., 2010. UpStream : Motivating
As this study has revealed, there is a possibility to Water Conservation with Low-Cost Water Flow
persuade people to be more conscious in reducing the Sensing and Persuasive Displays. Audio, p.1851-1860.
amount of unnecessary water usage through using a Melbourne Water Restrictions
mobile application as a supportive tool in their gardens. http://www.target155.vic.gov.au/water-restrictions.
The indicative evidence from this study is currently being
applied in a second investigation focusing on electricity Nansen, B., Smith, W. and Pearce, J.M., 2012. Gardening
usage. We will see whether the theories can be applied in Online: A Tale of Suburban Informatics. MIT Press.
this domain and whether there are any differences when Pearce, J., Murphy, J. & Smith, W., 2008. Supporting
persuade people’s pro-environmental behaviour in use of gardeners to plan domestic watering: a case study of
electricity. designing an ‘everyday simulation’. In Proc. OzChi
2008, p.1-5.
ACKNOWLEDGMENTS Pearce, J.M. & Murphy, B. 2010. Living on the hedge:
The authors would like to thank the 10 participants in the SmartWatering in the community. Working paper:
case study for their time and interest. http://disweb.dis.unimelb.edu.au/staff/jonmp/pubs/Unp
ublished%202010/Living%20on%20the%20hedge.pdf
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