UX Portfolio

S E R E X

P E R I E N C E P O RT

O L I O

In Loughborough University 1473250397@qq.com +86 15541530841

2021.10 2021.12

Save Lee

An APP for mprove user’s sleep

Group work

mary research & ana ysis, Prototype, User test

Co aborative pro ect between Loughborough Un versity and GenGame energy company, which aims to improve the user exper ence whi e using smart meter data to reduce the negative mpact of home energy consumption.

Save Lee s an APP focuses on improv ng users' sleep by help ng them to reduce emotiona stress before bed so that they can fa l asleep as quickly as poss ble while reduc ng the r home energy consumption.

BACKGROUND

Current energy problems

Energy consumpt on from electr cal appl ances in da y l fe generates large amounts of carbon em ssions wh ch generate tons of ‘greenhouse’ gases and ead to many problems in the natura environment such as c mate change.

22% Tota Carbon Em ss 22% is from ho 30% Resident Carbon Em 30% is hou appliance

Smart meter in UK family

Every UK home w nsta a 'smart meter’, wh ch cou d he p consumers monitor their energy use to save more money less energy consumptionw th .

By

•Use histor c data to forecast energy consumption

•Disaggregate energy used E.g. 24% wash ng,9%Lighting ...

So what else we can do...

How m ght we des gn a mob e app that uti ses smart meter data to reduce the negative impact of domest c energy consumpt on?

DEFINE THE PROBLEM with 5W1H

Initial Problem Statement

1How might we des gn a mobi e app that ut ses smart meter data to encourage [ students who ves n Student Ha ls, pay attention to their health problems and want to have a better living environment ( comfort temperature, humid ty, brightness and a r quality ) ] to [ use e ectrica appliances in an appropriate way to reduce energy consuming ].

2How m ght we design a mob le app that uti ses smart meter data to encourage [ students who ives in Student Halls, have a higher awareness of energy saving and environmenta protect on and ove sharing moments ] to [ compete and share how much energy they save w th others to use less energy].

The user base is too small for the ssue to be general and inuential and therefore not considered

Semi-stuctured interview

30 45m ns

USER RESEARCH nterv ew 7 part c pants target user g oup

Interv ews with the target group were conducted to test the nitial p r o b l e m a s s u m p t i o n . T h e i n t e r v e w q u e s t o n s r e v o v e d around hea th knowledge, v ews and behav ours, with questions on health behav ours inc ud ng s eep, d et, exerc se, sk n, hair, body, env ronment and menta .

DATAANALYSIS

Participant Boards

The mportant informat on from the 7 part c pants’(what they say/do) nterview transcr ptions was extracted, coded and col ated on post it notes. The three categories of health ssues that were most mportant to each participant were summarised and it was seen that sleep was the most important to part cipants, fo owed by d et.

DATAANALYSIS

Extract the key insights

From ndings, nsights re at ng to patterns, unusua informat on were dent ed and eva uated by2×2 matrix with two d mens ons and'desirabi ty for users' potential for energy savings fourto extract the key nsights. Finally, the sweet spot contains the key nsights' with the h ghest strengths n both dimensions.

REFINED PROBLEM STATEMENT

By analys ng the data from the primary research, we rened the in t a prob em assumption.

How m ght we des gn an app that util ses smart meter data to encourage [students who pay attention to the r health and want to have a better living environment] to [use e ectrical appl ances n an appropriate way to reduce energy consum ng].

Afnity Diagramming

The coded sticky note of a part c pants n the Part c pant board(what they say/do) were summar sed and organ sed n a ogical way as an Afnity Diagram for qua tative analys s.Common ssues and mportant or spec a nformation from the part cipants were summarised as . and formed the wh ch'nding' what it means 'why it matters nsights' explained and showed how t nuenced the theme of energy consumpt on''nding'

about their study

worry about study

How m ght we des gn an app that ut ises smart meter data to encourage [Chinese students who hope to have a hea thy l fe in UK develop a healthier sleeping] to [ schedule to reduce unnecessary energy consum ng]

Siqi Lee

USER NEEDAND DESIGN OPPORTUNITY

4

Insights

Chinese students n UK hope to have a hea thy fe but often stay up late which cause unnecessary energy consumpt on.

1 2

Due to emot onal ( fe, study) pressure and s eeplessness. Not good at se f-regulat ng emot ons.

Lack time management ability, low efciency of work and study, and cannot comp ete the r academic tasks n t me

Did not choose this direction because the workload is an of vital external inuence that cannot be eas y interfered w th.

Brainstorming and evaluate opportunity

Bra nstorm ng des gn opportunities from the key insight statement by us ng 'How M ght We’ method

Through the evaluation matr x with two d mensions desirability for users and 'potential for energy sav ngs , 3 key 'How M ght We s have been found and were combined nto three statement.

1 2

HMW et students forget or address the stress before sleep

HMW motivate students to s eep ear er'

PERSONA

Siqi Lee' story

Recently, she found herse f s eeping ater and ater, had trouble in falling as eep due to stress and fee become in poor health. She s busy w th her stud es, soc a ife dur ng the dayt me She often be anxious about what she has exper enced dur ng dayt me at night These negative emotions that can t hand ed in t me affect her s eeping d rectly. She w shed she could get better s eeping without worry but she cou dn t nd a good solution.

Aspiration

Wants to go to bed ear er w thout the emot ona stress from fe, mainta n a peacefu state of m nd avo d staying up ate or nsomnia so as to have a healthy and regular l fe can study better and ve better n a foreign country

Task goals

• Avo d stay ng up ate, sleep ear er

• Know how to regulate emot ons

• Want to fall asleep quickly

Experience goals

Ÿ

Ÿ Don't worry too much about academic tasks

Ÿ Deve op a healthy sleep routine for hea th

Ÿ

Ÿ

Ÿ

Ga n sense of matur ty from hand ng emot ons wel

Ÿ Be enthus astic about l fe and fee re axed

Sense of achievement from develop ng good rout ne

Ÿ Fee ng in control of l fepace

Ÿ The p easure of ving healthy

Key pain points

Often stay up late because of gnor ng the time when study

ŸLack of determ nat on and mot vat on to s eep ear y

20 Chinese 3 ‘HMW et students feel very s eepy before bed so they can fa l asleep immediately’

ŸLack of efcient emotiona regu at on methods

ŸUnab e to nterrupt the p e s eeping behav or of cont nuous think ng

Overth nking things that haven't happened yet

The pressure from study and life makes me feel anxious, I really want to get rid of the negative emotions and adjust my mood in order to sleep earlier.

F rst-year Come to UK Major in Design

Live in Student Hall Alone

EXPERIENCE PROTOTYPING

Persona

Xiao Lee | Female 22

Graduate Student of UX Des gn in Loughborough Un versity

Painpoints

ŸWant to develop the habit of going to bed ear y but always fai

ŸOften suffers from nsomn a due to stress

Scenario

When: It’s eleven o c ock at n ght in w nter n UK Where: Her pr vate room n student ha l

X ao Lee is studying and was absorbed in thinking about the knowledge. The qu et env ronment and difcult knowledge made her forget the t me. Time passed quickly, and soon the t me come to eleven o c ock.

Story board - Bu d ng user ourney for 3 key features based on persona and scenar o

Xiao Lee was study ng at night. Difcu t know edge made her forget the time.

Sooth ng music p ayed, t was the APP rem nded her it was time to go to bed.

Decided to fo ow app s adv ce to go to bed and puts on wearab e device.

After stay ng n bed, She was st ll th nking about study, can’t fal as eep.

Wearable dev ce detected her st ll awake, phone ght up to ask f she needs s eep a d.

EXPERIENCE PROTOTYPING

Body storming Two rounds

We performed the user journey with the sett ngs n storyboard and recorded it through video to identify issues in the key journeys and rev se them

Chose type of sleep a d, APP played persona ised aud o automat ca ly.

Didn’t ke t, and c cked "Change style" (optim sat on through data )

Th s audio was su tab e for her.Re axed and fa s asleep gradua ly.

Morn ng, checked her mood changes during s eep aid, t me took to fall as eep and found it rea y he p.

Found her s ept 2 hours ear er, save more energy, the v rtua character ‘Lee’ grows more ha r n APP. She fe t mot vated.

Round 1 Revised details

• mprove rem nder methods of our App and wristband;

• Add dark theme to some pages n our App;

• Add audio auto off function after user fa s as eep n our App;

Round 2 Revised deta

• Optimise the reminder funct on of our app and wristband

• Improve the data udgment of the dev ce to get accurate data recording

EXPERIENCE FLOW CHART

By exper ence prototyp ng and ssue revisions, we sorted out the experience ow. n the follow ng chart we have covered a l the possibil t es of user behaviour interact ng w th the functional details of the app during the comp ete ma n user journey.

Page information structure

User ow

Analiysis Page Prob emat c, needs further renement testing

Users can v ew the previous n ght s sleep data and trends n bedtime changes on the "Analys s & Feedback" page, the change n virtua mage: ‘Lee’ and a so v ew the n ght y energy data records to v sua y see the energy saved by going to bed ear y last n ght, and to v sual y see the trend of reduced energy consumpt on as they gradua ly develop an ear y bedtime routine. Users wil be more motivated to go to bed early.

Unreso veled Issues in Analiys s Page

The data integrat on and arrangement of the Analys s and Feedback page s confusing and acks sufcient prior ty og c. The s gn cance of ana ys s data for users n the experience shou d be strengthened through subsequent user testing and changed to a more reasonable arrangement.

GENERATE LO-FI PROTOTYPE FOR TESTING- After sorting out the functiona hierarchy of pages n the main user ourney, the user ow and ts corresponding wireframes were constructed

Ÿ

USER TEST METHOD

Low delity prototyping

Using observation and semi-structured interviews

Test ng on one target user using wireframes v a marve . To create the most rea istic user experience,The test s te was set at the user s home.The time background s mu ated n the test was the bedtime per od, and the next morn ng per od, and simulating the bedt me rem nd ng behav or, the s eep aid behavior, and the behavior of v ew ng the previous n ght's data, respective y.

Main issues explored in the test

The rat ona ty of page interact ons.

ŸReasonab eness of the og cal hierarchy between pages.

ŸThe rat ona ty of the nformation ayout and c ass cat on, the comprehens veness of the nformation of the ‘Analysis and feedback’ page.

USER TEST RESULT & ITERATION

1. User think Lee's is not easy to notice, so Lee was moved to a new page

2. User th nk that the nformation about sleep time should be clear and obvious , so the goa and actua s eep time modu es were added above, also the trend graph of sleep t me with n a week s added to reect the recent y sleep ng pattern n Ana ysis and Feedback' page

3. Energy and sleep were two d fferent categor es, so a hor zontal cut-screen interaction was used to separate the two categor es n the Ana ys s and Feedback page

Changes in layouts & interaction Changes in how to use smart meter data

The mpact of encourag ng users to sleep early by only "energy sav ngs per night" and ‘the using trend’ s not obv ous enough, so adding the modu e of " energy savings accumulation from the beginn ng date" to g ve users a deeper impression.

Analysis page Iteration process

Late-night mode Day-time mode

Smart Sleep Reminder

Remind users to go to s eep accord ng to the r expected rest t me set n advance and wear the s eep bracelet to monitor s eep status

Provide a w de range of s eep aid aud os and were persona sed played according to the user’s histor cal s eep data

Sleep record & analysis

W th daily sleep record, users can see whether they have met the r ear y bedtime goa and their sleep status every night, and motivated by the energy sav ngs they have ach eved by sleep early

Users can save a tired avatar by reaching da y early bedt me goal, and were mot vated by avatar’s pos t ve visual changes such as grow ng more hair

BACKGROUND

Key design process

We ma nly focused on the process of deat on, prototype and eva uat on, we have terated for several times on each stage

Fragrance marketing analysis

Inuenced by the covid the fragrance market va ue in uk has a s gn cant decrease n 2020 , wh e most perfume customers prefer to shop n phys ca stores. So mproving the in store shopp ng exper ence could be a way to drive the market.

BRANDANALYSIS

Penhaligon’s: A British Fragrance Brand

PROBLEMASSUMPTION

Finding opportunity

Our reta ler penha gon’s is a roya , luxury br t sh fragrance brand with long h story, and has a strong focus on prov ding cons derate

Royal Luxury

Long history

TARGET USER FOR PENHALIGON

Gen-Z

Penha gon’s p l consumers: the generation

Want to know wh ch fragrance suit them when try ng perfume n the store

Servive they provide:

V e w e d a s a u x u r y brand because of the prem um pric ng

ces for consumers

BUT...

ŸWonder if the fragrance is appropriate n the actua scene

ŸScent of var ous perfumes mixed together

ŸAfter tried too many perfumes, the sense of sme l s not sensitive

Prolling

Personalisation

Wrapping

APP

UniqueTastes

‘W t e to create or g na or the d scerning cs of today’

High-level of Spending Ability Buy for Themsevels

serv Fragrance tasting Extens ve comparison and selection

About 90% customers sa d they a ways buy perfume for themselves

ŸConfused by the text description of the perfume

USER RESEARCH - Round 1

To focus on the most painful ows throughout the user journey

Semi stuctured interview - 30 45m ns 7 participan s - target user group

Browse perfumes (the packag ng and name attract the most attent on of this segment of users)

•Fragrance pa np onts in user journeykey ows w th most pa npo nts n-store shopping user journey chart

IDEATION WITHADVANCED TECNOLOGY- Based on the fo ow key user tasks

Key user tasks with improve directions for ideate

Key User Task Seek and check informat on of perfumes Try on perfumes Compare var ous perfumes

Task Type

Remember fee ngs of perfumes Ask he p from shop ass stant/friends

Performance re ated task Repet t ve Unmet des res Repet t ve Requ red many peop e

Improve Direction Increase Efc ency Reduce ted um Enab e new exper ences Reduce ted um ncrease ab l ty for user to sca e efforts

CO-DESIGN TO DEVELOPE CONCEPTS - Based on the 4 ma n concepts

Create database for user test

To implement 4 ma n concepts mabove: ‘AI perfume records and recommendations’, ‘AR ltering with v rtual elements’, ‘AR multi sensory perfume tasting with v rtual e ements’, ‘VR perfume tast ng with multi sensory storytelling experience’, a for perfumes s requ reddatabase of visua languages

Ideation - based on AI technology

A techno ogy can he p with improve user exper ence by 6 AI ntents. Based on the improve d rection of key tasks, chose 2 re ated AI ntents to deate concepts. Thematica ly class ed and chose one direction for development

Select AI Intents

1.Accelerate research and discovery

Spend ess t me ooking for the nformat on. Eas y process m lions of data points to focus on the work that matters most.

2.Recommend with condence

Teach systems the nuances of your business so that to give tailored adv ce, and deepen customer relat onsh ps.

Ideation - based on AR and VR technology

AI: Perfume records and recommendations Concepts

For these 3 un que Penha gon perfumes Luna Quercus Duchess Rose

Mag c M rro

Based on the mprove d rect on of key tasks, bra nstorming severa rounds on AR and VR. Finally 3 main deve oped directions were chosen.

AR Sorting perfumes and  ter with v rtual e ements

AR perfume bottles were surrounded by v rtual e ements when tasting Gamicat on

VR: perfume tast ng with mult -sensory storytelling exper ence

Create database n 5 types of v sual language

Fragrance ingred ents Scenes Characters

Abstract graph cs Ad ective descr pt on

User test- to deve ope concepts

User test results

Evaluate and choose type of elements wh ch resonate with the user for fragrance expression. 12 target users Sme l 3 perfumes, match mages of 5 types of elements

Users have more un form perception of ‘fragrance ingredient mage’, ‘co our tone’, ‘adjective descriptions’.

Chose those 3 types to enr ch presentat on of fragrance.

semi Interv ew

Card sorting mages are se ected from the database by d scuss on

Users’ se ected mages for 3 perfumes on 5 types High ght the most voted mages

Which of the follow ng images better matches your feel ngs about th s perfume... Ingred ents/Scenes/Characters/Graph cs/Adject ve

DEVELOPED CONCEPTS

AR+AI n store fragrance tasting area

Types of v rtual e ements for perfume description based on co des gn.

1. AR ltering with virtual elements

To avoid the confusion caused by over tasting, customers can use AR  ter to se ect the perfumes by : ‘fragrance ingredient image’, ‘colour tone’, ‘adjective’

2. AR multi-sensory perfume tasting

customers can see virtua around perfume‘fragrance ingredient image’, ‘adjective’ bottles whi e tast ng, to have a better understanding of each perfume.

3. AI tasting record and recommendation

Users can record favour te perfumes, and through user’s data, AI can reconmmend perfumes for persona sed exper ence.

CONCEPTS ITERATE- with Lo  prototype

Round 1- user test on AR, AI and VR features

Purpose: Testing user satisfaction of the 4 concepts Findings: Users were genera y , espec a yd ssat sed w th AR AR  ter function

User emotinal feedback

1. AR Features

Need to scan with phones to start AR, wh ch is troublesome wh e tasting perfume

AR lter ng AR tast ng AI record ‘ ked’, recommend

AR lter is to use withcomp ex too many steps Filtering n deta is unnecessary

VR in store VR space area

4. Perfume tasting in multi-sensory VR perfume world

For recorded ‘ iked’ perfumes n AR, can enter the VR perfume world to have a further exper ence. VR space will spray the perfume automatically

Modication

2. VR Features

Game in VR perfume wor d is un que and engaging

1. MR glasses instead AR. Expand scope& nteraction space

AR with phone

glasses

3. AI Features

Perfume card meets the need for custom sation ‘liked ’ record s convin ent

Round 2- user test on revised lters (MR replace al AR)

Purpose: To the prob em ofmodify cumbersome lter Findings:

User emotinal feedback - 4 vers ons of  ter

Negative Pos t ve Negative Pos t ve

2. Rev sed AR lter 4 d fferent  tering versionsand provided for the second round testing

03

1. Chose version 4 for  tering due to high user satisfaction

2. lter ng propert es need to be enhancedwh e version 4's

1. Maintain  ter ow, change AR to MR 2. Remove the lter funct on Modication for version4

Scene&Goal Navigate&Guide Make changes Succeed se ect perfume en er per ume world col ect elements to desc be per ume get personal zed perfume card curios ty diemma cr sis success 2 4

1 3

bor ng and awkward to stand around and c ck for ong periods Cumbersome and inefcient

F tering funct on enhances shopp ng efciency, cannot be removed high satisfaction, in ine w th user shopping habits

The scent icon he ps users to d st ngu sh among perfumes

Add the s mp e lter ng through c ck ng icons

3. APP Filter before shopping 4.Icons of scent for s mple se ection

MR PROTOTYPE ITERATE- with Lo  prototype

Round 1- user test on MR prototype ow

Purpose:

To of thetest interactional rational ty MR prototype through user nteraction

Problems

Too much buttons, informat on ead to d fferent ows. Comp ex to beginners.

User emotinal feedback

MR prototype were .too complex to use

Modication

Add complete, s ngle ow guidance for beg nners before the rea MR  tering and tasting exper ence

VR PROTOTYPE ITERATE- w th Lo  prototype

Round 1- user test on VR prototype ow

Purpose:

To of VRtest Smoothness, completeness, v sual soundness

User emotinal feedback

The ack of some vo ce guidance and the presentat on of the nterface des gn leaves users confused about what to do next

Problems

Some interfaces lack visual and aud o guidance

FINAL KEY FEATURES- AI MR VR

AI tasting record and recommendation

Painpoints: Lack of persona sed exper ence

Round 2- user test on rev sed MR prototype ow

Purpose:

Test feasib lity and engagement of MR exper ence w th beg nner guidance.

Modication

1.Simplify guidance (on y for lter ng), and add the for users t.option to sk p

User emotinal feedback

Too much detailed guidance was boring; and after the gu destil feel uncondent

Modication

MR ltering with virtual elements

Painpoints: Lack of ways to  ter perfumes

MR&VR multi-sensory perfume tasting

Painpo nt: Lack of feel ngs towards d fferent perfumes2. Simplify comp ex functions

Procedure:

•Add og n page

•Improve content and appearance time of vo ce gu dance

•Reduce redundant cl ck

Locked 'Favour e unction Un ocked 'Favour e &

Visua :

•Highl ght se ected e ements

•Reduce the arge amount of text descript ons

DESIGN PRINCIPLE- MR VR interface

90 Degree Field of Vision

Signals design in VR prototype

AI onboarding concept

Less s more. A Narrow 90 Degree

for users and can focus users’

tasks

20 Degree Field to focus

A l the interact

people/other

nformation

most

(Menues/D

F e d of V s on is 1 2

To av od confus on dur ng the mmers ve nteration in MR VR.

S gnals he p to suggest an act on and nvite user to interact

A onboard ng concept by for user, (inc ud ng offer ng examp essetting expectations of how it works, explaining what the A can/can't do, and lett ng users know that AI needs the r feedback to work better) and toexplain AI’s benets help new users get to know the product optionalor serv ce. A Onboarding concept s as many users l ke to skip t and d rectly use the function.

(v

ashing clickable e ements to draw user's attent on and show ts availab lity

VR 30 seconds onboaring

us ng the direct ona arrows for navigation guide

The rst time user open the ‘AI Recommendation function’, there wil be a pop out, and click ‘Learn more’, users can view the AI onboard ng concept, as followed.

Before Recommendation...

User test on AI onboarding concept

The rst 30 seconds n VR s crit cal to capture the viewers’ presence perceptions and create curiosity and can not be gnored especially for new users.

effective Test process

To prevent d sappointment, shou d exp ore whether expectat ons set by AI onboarding concept the feature.match user’s feeling after using

VR prototype experience was started with a 30 seconds animation to attract the user’s attention and bring them into the virtual perfume world.

•Music

•Perfume story

•Perfume world view

•Mov ng elements

1. Show users the onboard ng concept and ask ng users to share the r expectat ons of the feature based on the onboard ng before rea y using t.

2. Let user nteract with the prototype of the feature, and descr be how the A perfume recommendation exper ence compared to their expectat ons.

Test results: The expectation estab ished by AI onboard ng concept can meet users’ exper ence, wh ch could bu ld trust

STORYBOARD- MR & VR in store shoppong exper ence

1 Customer wants to nd a ora perfume in store but has no c ue.

2. The new MR serv ce arouse her nterest She put on to try.

3. After reg ster and og n, she earns how to use the MR g asses device with A gu de, a hat but er

4. AI guide he ps to  ter the o a type by cl ck ng v rtua nterface through MR g asses

5 Can recogn ze ora perfumes eas y by scent con appear ng above the products

8. Deta ls about the perfume are presented n a dynam c way, such as ngred ents, descr pt ons

9. She picks up the perfume to spray sme , and along w th MR s d sp ay, she gets a r cher fee ing

10. She real y kes t so she ights ‘heart’ to act vate the kes st for easy record ng and compar son

11. She cl cks on the l ke l st to rev ew and d scover more great products by A recommendations.

12. After p ck ng more than 5 l kes, system w l recommend her to try VR serv ces to fee deeper.

13. n the mu t sensory VR exper ence space customer wears the dev ce and og in

14. From her ke st, she se ects the perfume ‘LUNA’ and enters its proprietary virtua wor d.

15. With scent of LUNA she wanders in LUNA’s wor d to exper ence it and co ects e ements to express her personal fee ngs about luna

16 When co lect ng one element she can earn about ts connect on to LUNA and discove stor es

17. After col ecting 5 elements she is prompted to generate her personal sed perfume card

18 She is curious and excited about her LUNA card generated from the e ements she co ected

19. The VR ourney ends and she can print the persona ized LUNA card outside the VR space

20. She enjoys new serv ces and makes purchase choice eas y. t s a wonderful experience for her

EVALUATION- with Hi  prototype

Purpose

To determine the user inwhether the nal prototype supports ach eving the task goals emot onal experience meets our expectationsand to verify that the user's .

Task goals

ŸSelect su tab e perfumes through product descr pt on and presentat on

ŸGa n clear sense of character st cs of different perfumes, have unique experience of each perfume

Emotion goals

Ÿ easy and effective to selectFee perfumes

Ÿ fun and nformat veEn oy a perfume tasting experience

ŸImpressive and attractive

Methodology for user test 6 partic pants

1 2

Satisfaction testing Performance testing

Purpose

Data collection

Users use the prototype to complete 8 tasks on key features(based on task goals)

Data analys s

USE Scorecard testing

F nal y,



USE

Satisfaction Emotional Feedback

VR gam experie

Fragrance tasting exper ence was enjoyable

P1,Ma e

Multisensory Impressed with perfumes and favourab e mpressions of the brand

P2 Fema e

Confused by the MR  tering process

•Confused by the interact on of lter •Lack sufcient textual nformat on

Enjoyable a prolonged

More condent n choos ng the desired fragrance

P3,Female

Sufcient  g assistance Less pressure to try perfumes

P4 Male

Not satised with the immersion of VR

ŸLack of sufc ent contro

ŸHas a sense of disconnect between MR and VR

USE Scorecard and questionnaire feedback

USE Scorecard quest onna re can evaluate the qua ty of the prototype w th ‘Context’ ‘Error’ ‘ nteract’.

ŸContext: Harmonising with the user's context of use

ŸError: Prevent, cushion, and reverse users errors

ŸInteract: Bu d ntu t on by remov ng understanding

MR

S mpl fy Workload & Effort Usable Satisfying Easy Fool Proof Context Error Interact Context Error Interact User feedback on RESULTS- MR VR

immersion

VR

Performance feedback

lter

Ÿ

1

Task: ‘Filter the oral perfumes’ Success Rate

33.3% (2/6 part c pants)

Task: ‘Filter the oral perfumes’

Average Time

28seconds (6 part c pants)

Ma ority partic pants found it s confusing to nish ‘MR FILTER’

Modifacations MR VR

MR prototype

1 2 ŸS mplify the lter ng interaction process and prov de c earer gu dance

ŸAdd todeta ed text descriptions cons and elements

Ÿ ntroduce the benets of VR to enhance the connection w th VR

VR prototype2

Ÿ duringAdd progress display co ecting elements n VR world

ŸImprove the rst VR onboading 30s make t more mmers ve

‘L kes’Creating connection w th MR

EVALUATION- with Hi  prototype

AI message for AI recommendation

Whether the A recommendat on funct on needs explanat on for user depends on ‘feature’s mpact on user’ and ‘user’s condence on A ’

High condence of AI

FUTURE EVALUATION METRIC

HEART Frame

Google research team offers 5 user centric metr cs(Happiness, Engagement, Adopt on, Retention, Task Success) to measure user experience on a arge sca e. These metr cs can be used for dec sion making n the product development process. For the MR,VR prototype n this des gn, the spec c metr cs that can be referred to after launch are as follows

No Message Requ red

Low user impact

Message: Most likely best for you: [X, Y, and Z]

Message: You are seeing this [recommendation] because you [act on]

High user impact

Message: You are seeing this [recommendation] based on [data].

Predict on is X% accurate

Low condence of AI

User test on AI condence 6 participants

After interview, users recommendation50% doubted re iab lity of AI

Our prototype User feedback

H gh condence of AI

No Message Requ red

Low user impact

High

Low

Low user impact

Required Message

High High Low condence of AI

Mod cat on: add AI message before recommendation

Before After

We'll make perfume recommendat ons

Based on your personal h story data, the perfumes w th the ‘ye ow heart con’ are most ke y to su t you

Happiness Engagement

Goal Signals Metrics

For users to fee like the exper ence is efec entand en oyab e

Ÿ

Respond ng to surveys ŸSat sfact on (SUS)

ŸNet Promoter Score

For users to keepexp or ng more perfumes ŸSpend ng more t me in the system - from ana yt cs

Adoption

For users to use the system ŸPrint ng perfume cards

ŸPurchas ng products after exper enc ng the system

Retention Task Success

Ÿ

Number of people visit the system per user/per week

ŸNumber of perfume exper enced n VR space per user/per week

ŸNumber of perfume added to ‘Likes’ per user/per week

ŸNumber of print ng cards per user/per week

ŸNumber of purchas ng per user/per week

For users to cont nue to use the system ŸV s ting the system aga n ŸNumber of repeat experience n one month

For users to n sh theirs goals ŸGenerat ng perfume cards

ŸAdd ng perfumes to ‘L kes’

ŸNumber of enerating perfume cards per user/per week

ŸNumber of perfumes added to ‘Likes’ per user/per week