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PORTFOLIO
DENISEYANG
遊戲化的災防教育服務設計WORKSHOP 之成果
問題探索與歸納、建立Affinity Diagram、整理Journey、建立人物誌
/ What I contributed
成員：林育慈、李玥瑩、金雨辰、施媄瀞、陳思妙、楊丹寧
從研究者蒐集的訪談資料，進行三次工作坊，討論整理防災教育中學生、老師、家長的角色，以及各個角色在防災教育中面臨的問題與需求，整理出的成果是：Affinity Diagram、教師與學生的 experience journey、撰寫與討論整併Persona 成學生、教師、家長三類共六名。
Affinity Diagram與Journey由於以文字化之表格整理，在此僅描述其結果與特色而不另作呈現，僅展現Persona之整併結果。
本階段產生六位Persona，分別包含防災教育中的學生、教師、家長各兩位，呈現由前段過程裡Affinity Diagram與Journey中整理出來的每一種角色所表現的態度、面臨的問題與需求，期望作為後段過程進行服務設計的對象之參考，設計出更貼近使用者的服務。
Persona
我透過Affinity Diagram整理出問題的面相，並且以Brainstorming的方式，在沒有限制的前提下提出多種解決問題的可能方式，提出協助之後的服務設計找出解決問題的施力點。本階段Affinity Diagram整理出的問題面相包括：提昇小朋友參與防災教育動機、防災教材上的問題、政府與學校制度面的問題、教學模式改變之可能等共九個面相之議題與對應的解決方式之發想。
Affinity Diagram
我們分別針對學生與教師作Journey的歸納，其中呈現了學生與教師在不同防災教育階段中的目標、行為、的目標、行為、感受、使用用具、以及其問題所在點(Pain Point)。
Journey
CHI contest :changing perspectiveLiving Ripple:Pursuit Ideal Quality of Life through Crowdsourcing
進行脈絡訪查、針對問題與現況進行分析、設計提案發想、運作機制之設計
成員：李玥瑩、楊丹寧、劉育青
/ What I contributed
CHI本屆比賽主題為”Changing perspective”，希望參與者以創新的角度，設計並且發想，加上熱門的「眾包」(crowdsourcing)之概念，提出改善問題的設計理念。我們在生活中觀察到，台灣的租屋者對於房屋與周遭環境的了解之需求，在現在的各種租屋平台上無法被滿足，租屋平台只提供單向的、出租業者方之資訊，然而根據訪談結果，更被需求的是過往承租者怡供的意見。我們提出一個創新的平台，以眾包機制來解決這個問題。
經由脈絡訪查法研究10名租屋者與2名房東，我們發現，租屋者尋找理想房屋的過程相當耗時，其原因在於目前租屋資訊管道皆由房東單向提供資訊，多數僅包含房屋內的裝設、房屋外觀之介紹等；然而多數租屋者最在乎的是居住品質，而周遭住戶的品質是影響居住品質的關鍵之一。然而，若沒有真正的居住經驗，很難形成並提供有效且全面的居住品質之資訊。
Living Ripple: Pursuit Ideal Quality of Life through Crowdsourcing
我們提出”Living Ripple”這個平台來解決前面所述的問題，Living Ripple以冒險遊戲的形式，讓地方住戶作為眾包力量中的一員，提供他們對於周遭居住環境品質的感受經驗。另外透過社群網絡，我們得以共同監督、維持這些資訊的信度與效度，並且製作出個人化的空間探索日誌。
使用者在Living Ripple中，可以探索不同的區域，記錄自己的生活圈，並且可以以健康、安全、方便性、舒適度四個向度來對於一個地點做出評分、留下評論。
問題解決方法
我們以遊戲與累積積分的方式來吸引人們使用Living Ripple。一開始使用者以email或Facebook帳號註冊Living Ripple，並且填寫關於其所在地點房屋之資訊與評價，這些資訊分為外部(inner)與外部(outer)資訊，房屋內部資訊僅開放居住者評價，每一位使用者在完成填寫資訊與評價之後，會獲得Living Ripple的遊戲積分200分。房屋外部資訊的部份，每一位使用者的評價會以從安全、健康、方便性、舒適度四個項目去做分類，使用者可以瀏覽這些評價、對於評價表示贊同/不贊同。每個月的最後一天會針對評價所得到的贊同數做出排名，得到最多認同的評價前三名將能分別得到200、100、50分的積分作為獎勵。而這些獲得的積分，Living Ripple與企業合作，使用者所擁有的積分可以轉換為在7-11消費時的折扣。
Living Ripple 運作機制
除了房屋，Living Ripple也提供地區的評價，每個使用者可以在留下評論之前先給予地區0-5分的評分，在地圖上拉近拉遠，可以檢視大地區的總體平均得分或者街道；社區的平均得分，方便使用者以概括的去檢視與比較不同地區。另外，每一位使用者的檔案會記錄其評分過的地點、區域，建立使用者的個人空間探索日誌，提供使用者回溯與檢視自己的記錄，對於其他使用者，也具有參考的價值。
Living Ripple: Pursuit Ideal Quality of Life through Crowdsourcing.
Abstract
According to the increase in house price, the demand
for tenancy grows rapidly. However, it takes much time
from seeking objects to signing contracts. The tenants
concern both inner and outer environment factors of a
rental house. Therefore the accessibility of entire
information would be the key of helping making
decisions. Yet there is only one-sided provided
information from the landlords and no objective
information of real conditions for tenants on the bulletin
board. Also, there’s no appropriate mechanism or
platform to encourage users to provide experiences.
Moreover, the high density of convenience store in
Taiwan proves that it has become an important spot of
a living circle. Furthermore, Taiwanese are addicted to
collect points. So we design a platform named Living
Ripple that uses points collecting as the incentive to
encourage the users to evaluate the neighborhood and
upload those comments to Living Ripple. By the power
of crowd sourcing, the information would be
comprehensive and invite everyone to construct the
information together.
Keywords
Tenancy, crowdsourcing, living circle, social interaction. Copyright is held by the author/owner(s).
CHI’13, April 27 – May 2, 2013, Paris, France.
ACM 978-1-XXXX-XXXX-X/XX/XX.
Yu-Cing Liou
National Cheng Kung University
Institute of Creative Industries Design
Tainan 701, TAIWAN
Yueh-Ying Lee
National Cheng Kung University
Institute of Creative Industries Design
Tainan 701, TAIWAN
Tan-Ning Yang
National Cheng Kung University
Institute of Creative Industries Design
Tainan 701, TAIWAN
ACM Classification Keywords
H.5.2 User Interfaces-Graphical user interfaces,
prototyping, user-centered design; H.5.3 Groups &
Organization Interfaces-collaborative computing,
computer-supported cooperative work.
Introduction
The price of buying a house in Taiwan is extremely high,
so a person who looks for places to live tends to
demand for tenancy [1]. However, many problems
occur in the process of seeking for a property. The
database of tenancy information is provided in one-
sided way so the information offered is not
comprehensive and lacks credibility and reliability[2],
what tenants want to know is not well provided from
those who has them, which makes seeking tenancy is
time-consuming and effort-taking.
Personal experience cannot be seen through tenancy
websites only. Solving such problem requires human
input for providing information that is missing from the
database, and for matching, ranking, or aggregating
results based on fuzzy criteria. [3]
Living Ripple uses human input through crowdsourcing
to provide information that neither contained by
database systems nor found by search engines.
Taiwan has the highest density of convenience stores in
the world. There is one convenience store every 500-
plus meter on average. [4] Convenience stores have
been playing an important role of the living circle.
According to the research, gaining reputation is the
main motivation for player to join the social game. As
predicted by theory, individuals contributed when they
were reminded of their uniqueness and when they were
given specific and challenging goals, but other
predictions were not borne out. [5]
Contextual inquiry and survey: Based on relative research reports and surveys, we
decided to adopt certain needs analysis research
methods for a further understanding about the tenancy
issue and explore problems of this area. To begin with, we conducted a survey about the criteria
tenants care while seeking the house for rent. After the
survey, we adopted contextual inquiry method and
interviewed ten tenants and two landlords; half of the
tenants are 25-30 year-old non-student people group
and the other group is 20-25 year-old students. Three
of the non-student group is females with 14-year, 8-
year and 6-year experience on renting house, and the
other two male with 6-year experience. After our interview, we conclude that the process of
looking for an ideal rental house could be very time-
consuming. The reason why it takes so long for the
tenants to seek a perfect suite is because the
information about the suite is not enough for them to
make decisions in a short time. When tenants are lack
of information, they have no clue about the living
environment until they move in this area. The other
fact is that the information of the suite is only provided
by the landlord, which is limited and unfair to the
tenants.
The information on the website of tenancy is one-sided
offered, the reason why people cannot get the
information they concern is because the existing
tenancy websites are just like platforms for objects with
introductions come from the landlords only, the content
usually includes the location information and the
interior narrations with photos, which is not enough for
a tenant to understand the living quality of this object.
Besides, the information on tenancy website is usually
displayed in words instead of graphical ways, which is
not intuitive for the user to get information from it.
All the interviewees claim that “neighbor” is the most
important factor for them to decide where to live
because the most critical issue for them is to make sure
the quality of neighbors. The interviewees concerns
most are the safety and the survey outcome also
presents the same thing. The other concerned issue
includes the convenience of transportation, the
quietness in late night, and the approachability for food
and daily use.
The survey repliers and interviewees pursue a good
quality and the functionality of living, however, that
information can’t be known from the process of tenancy
or from visiting tenancy websites only if one has lived
at the location. The tenants need to know not only
inside of the suite but also the outside environment.
With a good mechanism, they can easily evaluate the
level of living quality of a certain location.
User Center Design process:
In order to solve the problem of lack in tenancy
information, we need to know the target user’s needs.
Based on our initial user research, we came up with
four Personas. Then to identify the core design goals
that would help users achieve their goals, we wrote
scenarios for each persona.
Persona:
Juan is a 23 year-old International student from
Spain. Everything seems new to him and he
desperately want to explore the area. Besides, he
wants to keep a diary of his journey in this
country. Juan is now searching for a suite near to
the school and is convenient for food and daily
use since he is new in this country. However he
couldn’t read Chinese, so information which
contain only words are not useful to him. A multi-
language and visualized information website
would be helpful to him.
Shelly is a freshman in Department of
Architecture. Shelly knows how to ride a scooter
and she has one too, so it doesn’t matter if she
stays far from the school. However she wants to
have a big suite that could put all her architect
model inside. She looks for tenancy website and
at the same time she asks her seniors for tenancy
advice.(Fig.1)
Bob is a retired high school teacher who wants to
find a good spot for investment. He and his wife
are planning to buy a new house and rent it to
students. Bob wants to know where those
students prefer to stay and which area is more
suitable for living.
Hana works in an Art gallery from 11:00 am -
8:00 pm on the weekday. She has several
experiences in tenancy. Hana is going to find a
new place for settle. Besides those information
provided by the landlord, she also wants some
suggestion from ex-tenants. She believes that if
Figure.1 Shelly’s Persona
they have the same request in renting a suite,
these suggestions will help her to make the
decision.
Scenarios:
Juan keeps his explore diary whenever he visits a
new place. It's convenient for him to use his
smart phone to take picture and write down the
comment about the spot. He navigated the
website and found the interesting spots he would
like to visit next time. Juan is now satisfied with
the dormitory he lives. He already has some clues
about where to relocate because of the
information provided by others.
Shelly typed in some request for house to rent in
Living Ripple, then it made up a virtual model for
Shelly as the reference, like those who are the
same age, gender, background, and their
preferred location, etc. Shelly now knows where is
more suitable for her to stay that could contain
the models she made.
Bob compared all the recommended area and
viewed the comments from users. He could finally
know which zone is more preferred by the tenant.
Bob also learns some advice from the comments
to fit the need of his tenants.
Hana found the comment left by the ex-tenant, so
she reconsiders signing up the contact with the
landlord. She also took up that feedback from
other users and found that this area is quite noisy
at night. Hana is so glad that she knows about
this information before signing up, even though
the picture looks pretty nice.
Solution:
Living Ripple is a platform using the power of crowd
sourcing which can gather locational information by
having users play an adventure game and generate
their individual power to the crowd sourcing mechanism
by this way. Through co-supervising by social network,
we can keep the credibility and reliability in a certain
level and create an individualized living space diary.
(Fig.2)
Figure.2 System diagram.
We can encourage the users to provide information to
us though the game. The users can explore new
locations and record their own living circle movement.
They could rate this place and leave comments by the
four dimension factors including health, safety,
convenience and coziness. (Fig.3)
Figure.3 Rating page.
The user registers with email or log in by Facebook first
and then there would be a survey for the users to
evaluate a location. The information of each spot would
be divided into two parts: the inner and outer
information. Inner information could only be evaluated
by residents, as long as they finish the survey, they
could get 200 points right away. For outer environment,
the users’ comment would be categorized by four
dimensions: Safety, Health, Convenience, and Coziness.
Users could ensure the comment’s correction, each
dimension’s comments would be concluded in the end
of every month, and the top three comments receive
most approves would win the points, the prizes list
below: 200 points, 100 points, 50 point.
Figure.4 Accumulating mechanism.
These points can be converted into bonus which can
become discounts in convenience store, which is our
cooperator, 7-11. Once points are accumulated to a
certain level, the users would receive 7-11 discounts.
The users need to accumulate points in this platform
before reaching other users data of explorations. The
evolutional items for exploration are divided into “inner
environment” and “outer environment”. Those who can
record information for both inner and outer
environment can receive more points than others and
those who only provide data for outer environment get
less. (Fig.4)
Our platform would gradually develop into a vast
database. And our cooperator, 7-11 convenience stores,
can receive all the information contained in this
database. For 7-11, it would benefit their business
greatly because these data can be offered too many
kinds of analysis or research. For the enterprise behind
7-11 convenience stores, UNI-PRESIDENT
ENTERPRISES CORP., which owns a lot of subsidiary
companies covering wide range of business, the
information in our platform can contribute to UNI to
have greater vision of setting up its blueprint of service,
thus the enterprise will progress and receive great
revenue from the future map.
For each location, before giving comments, people
would give a rate between 0-5 to it, while users looking
at the map in the screen, there would be a rate of each
item. To zoom in, people can see the average rate of a
street or a neighborhood; to zoom out; people can see
the rate of one district or a larger area. Therefore
people can compare different streets or districts easily.
(Fig.5)
User could chose an status that fits his or her position
at that time, the system of the platform would search
out the information from those who are similar to this
user and integrate these files to become a model. This
model would pop out on the interface as a reference for
the user; therefore the user can get rental housing
suggestions from the data of need evaluations of living
environment which are from other users with similar
characteristics. (Fig.6)
Conclusion: While people are looking for houses to rent, they care
mostly about the environment, especially the
surroundings of one spot. Safety, Transportation,
Convenience, Coziness is what they concern most. But
in Taiwan, these four dimension information provision
by tenancy websites is not enough to the users, which
cause problems while searching for house to rent.
By the power of crowd sourcing, our design not only
solve the problem of lack in information about house to
rent, but also create a platform which is suitable for
Taiwan’s situation and can attract people to share their
comments with others. Through using our platform,
people can get information of houses to rent and the
environment from it clearly, at the same time they can
have fun leaving comments of objects, and after that
they may receive bonus can be used in real world.
Acknowledgement:
We would like to thank our interviewees for their
participation and the people who replied our survey.
Also we would like to thank our advisor professor Deng
for giving us support through the design and
development of our work.
Reference:
[1] Construction and Planning Agency Ministry of the
Interior
http://www.cpami.gov.tw/chinese/index.php?option=co
m_content&view=article&id=14908&catid=89&Itemid=
54#&Itemid=94
[2] Money.udn.com
http://money.udn.com/house/storypage.jsp?f_MAIN_ID
=415&f_SUB_ID=4080&f_ART_ID=269594
[3] Michael J. Franklin, Donald Kossmann, Tim Kraska,
Sukriti Ramesh, and Reynold Xin. 2011. CrowdDB:
answering queries with crowdsourcing. In
<em>Proceedings of the 2011 ACM SIGMOD
International Conference on Management of
data</em> (SIGMOD '11). ACM, New York, NY, USA,
61-72. DOI=10.1145/1989323.1989331
http://doi.acm.org/10.1145/1989323.1989331
[4] Convenience store density highest in Taiwan: report
http://www.taipeitimes.com/News/biz/archives/2009/0
7/10/2003448311
[5 ]Ling, K., Beenen, G., Wang, X., et al. Using social
psychology to motivate contributions to online
communities. Journal of Computer Mediated
Communication 10, 4 (2005).
Figure.5 Average rating of
different zones.
Figure.6 Personal page,
recording the explore diary.
國科會101年度前瞻概念設計計畫計畫名稱：打造友善的失智症照護生活 計畫主持人：鄧怡莘
針對問題與現況進行brainstorming，建立親和圖表(Affinity Diagram)、建立人物誌、撰寫情境腳本、設計提案發想、設計概念
計畫成員：王櫻璁、林育慈、李玥瑩、金雨辰、陳思妙、楊丹寧、溫千慧、劉育青、蔡佩真
/ What I contributed
本計畫的核心價值在於，從失智症患者及其家屬、乃至身邊的照護者、街坊鄰居的觀點出發，以由下對上（bottom-up）的角度，並將歷程中各個階段、各種角色的不同需求納入考量，期望不僅能夠滿足患者本身，也能同時關注負起照護任務的利害關係人全面的身心需求；並整合多元的照護服務資源，提供簡單易懂、又具有彈性的照護服務。最終，希望能夠藉由這一服務平台，持續性的為生活環境與社會帶來進步與嶄新的面貌。
照護者常有照護資訊需要注意及記憶,並記住患者的近況讓醫師及家屬了解,若來不及拿筆記錄,容易一忙起來就忘了。 House Agent 是一套結合語音及雲端資訊系統的服務,主動提醒及協助照護者即時紀錄,減輕其記憶負擔,自動彙整重要資訊,讓家屬、醫師及照護者本身更輕易了解患者近況, 進而提升照護品質。
舒緩失智症家庭主照護者的壓力, 旅遊業者為失智家庭構思旅遊行程;讓家族一同選定一個日期,在志工與照護犬的陪伴下出門旅行。人性化的定位追蹤讓主照護者與家族能隨時放心;而旅途中的自動打卡與紀錄,在旅行結束後將化為一本回憶錄送到患者手上。
主要服務>即時語音記錄>適時語音提醒>自動彙整資訊 >重要資訊分享>活動脈絡偵測
主要服務>專業志工協助>回憶錄製作 >旅行足跡紀錄 >即時定位追蹤>自動打卡>家族行事曆 >寵物陪伴
House Agent 照護小執事
Family Tour 快樂出遊趣
為體貼失智患者希望被當平常人一樣對待的心情,結合便利超商等店家,提供病友心理需求滿足與自主能力的成就感。Sweet Pay電子錢包提供簡便付款功能,家屬可預設待買清單,透過錢包輔助圖像顯示,協助病友購物;若有缺少或多買,除了錢包本身有訊息顯示提醒,結帳時店員也會透過系統得知提醒,貼心滿足失智患者與家屬對安心便利的購物需求。
主要服務>電子錢包付款>系統連線顯示>即時輔助回饋>商家協助提醒>安心便利購物
Sweet Pay便利購物
從研究者進行訪談、觀察所蒐集整理之資料數據，針對失智症家庭找出現存之問題與需求，從中找出切入點發想解決問題之方向。經過一連串問題展開、收斂、設計想法展開、收斂之過程，提出問題歸納、接觸點、服務架構、服務使用情境之建立，最後提出產品的原型、服務流程，為對失智症家庭病友、照護者需求提出未來服務發展的新可能性。工作坊產出六項提案，分別是接送上課、感應手環、生活記錄、生活記錄、GPS定位系統、醫院連線、照護清單提醒卡；再經過討論與整合後，最後提出前面所介紹的三個設計構想：照護小執事、快樂出遊趣、以及便利購物。
即時語音記錄 協助即時語音紀錄 自動即時語音紀錄
適時語音提醒 提醒所需照護資訊 回答患者基本疑問
自動彙整資訊 協同彙整照護及生活重要資訊 彙整患者語音紀錄
重要資訊分享
協助回答患者的狀態及生活資訊
獲得患者狀況整體資訊
了解患者生活情況及被照護的情形 取得患者生活資訊
活動脈絡偵測 取得患者的行為狀態 自動感應活動狀態 取得患者的
行為狀態取得患者的
行為狀態
患者
阿蓮婆79歲
主照者
阿月姊52歲
家屬
阿芬姨49歲
醫生
白醫生50歲
> 服 務 項 目
人裝置環境文件
> 失智症患者 | 照護者 | 患者的家屬 | 患者的醫師
> 全記錄小執事手環 | 活動狀態的感應裝置 | 電腦
> 患者家中 | 醫院
> 雲端資料庫 | 患者的重要資訊紀錄 | 照護資訊紀錄
TOUCH
POINT
> 服 務 設 計 概 念
> 會員 | 網路平台管理員 | 志工 | 志工管理人| 照護犬訓練師 | 行程規劃人員 | 回憶錄編輯人員
> 電腦 | 手機 | App | ibon
> 戶外休閒活動場地 | 網路平台 | 辦公室 | 超商
> 旅遊行程 | 家族行事曆 | 定位訊息 | 打卡紀錄 | 旅遊足跡紀錄 | 照片
> 服 務 設 計 概 念
FAMILY TOUR快樂出遊趣
人裝置環境文件
TOUCHPOINT
> 服 務 項 目
FAMILY TOUR快樂出遊趣
網路平台
手機App
志工協助
照護犬陪伴
回憶錄製作
旅行行程資訊家族行事曆登記有空日期照護犬資訊志工資訊
電子報接收瀏覽旅行足跡紀錄自動打卡提醒照相定位追蹤
減輕負擔紓解壓力專業協助手機定位
減輕負擔紓解壓力晶片定位
回憶保存
旅行行程資訊家族行事曆登記有空日期照護犬資訊志工資訊
電子報接收瀏覽旅行足跡紀錄自動打卡提醒照相定位追蹤
專業協助手機定位
晶片定位
回憶保存
陪伴出遊專業協助
陪伴出遊紓解壓力
回憶保存日後回顧提醒
患者
阿蓮婆79歲
主照者
阿月姊52歲
家屬
阿芬姨49歲
> 服 務 設 計 概 念
SweetPay便利購物
人裝置環境文件
TOUCHPOINT
> 失智患者 | 主照護人 | 店員 | 其他顧客
> Sweet Pay 電子錢包 | 結帳系統 | 感應器 | 個人查詢裝置(手機or電腦)
> 家中 | 便利商店 | 藥妝店 |
> 購物清單 | 消費記錄 | 優惠訊息 | 客制化建議 |
> 服 務 項 目
SweetPay便利購物
SweetPay電子錢包
雲端系統平台
合作商店
建立購物清單查詢優惠商品進行儲值預估消費開支
查詢購物記錄統計與分析開支提供購物建議提供優惠訊息通知
優惠訊息提供
購物品項比對商品數量確認付款安全且便利協助尋找所需商品
查詢購物記錄提供購物建議提供優惠訊息通知
客制化提供服務購物時的關懷與協助購物完成獎勵
患者
阿蓮婆79歲
主照者
阿月姊52歲
PORTFOLIO
DENISEYANG
