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#MUXL
Designing	Voice	Interactions	with	Alexa	
Hosted	by	Amazon	
6th	April		
#MUXL
2	Day	Hackathon	with	Orange	&	Oracle	
Designing	Interactive	Dialogues	for	Next	Gen	Messaging	
27th / 28th April
#MUXL
Foundation	Course	in	UX	&	UCD	
8	Weeks,	Evening	Classes,	In-Person	
Starting	May	2018	
Intermediate	Course	in	UX	
6	Weeks,	Afternoon	or	Evening	Classes,	In-Person	
Starting	April	2018
#MUXL
#MUXL
Designing	Voice	Interactions	
6	Weeks,	Evening	Classes,	In-Person	
Starting	May	2018
Coming	Up	
Our	next	evening	meet	up	will	be	held	on	the	3rd	July		
Looking	for	speakers.	Get	involved!	
#MUXL
Agenda	
6:30:	Registration	
7:00:	Linus	Hakansson	–	Best	Practices	and	Design	Decisions	for	Building	
Multi-Lingual	Chatbots	
7:20:	Asha	Trimble	–	Evolution	of	the	Native	Messaging	Client	
7.40:	Christopher	Weeks	and	Alastair	Byrne	–	The	Benefits	and	Weaknesses	of	
Chatbots	
8:00:	Q&A	
8:30:	Networking	&	beers	
#MUXL
Multi-lingual	chatbots

Tourism	bot	supporting	any	language	
(almost	☺)
Linus	Hakansson
@OracleLinus	
linkedin.com/in/linushakansson/
2
3
4
Málaga	Tourism	Bot
• Support	locals	and	tourists	from	
any	country	
– Tourist	office	opening	hours	
– Hospitals,	stadiums	and	museums
• Problems:	
– I	don’t	speak	a	lot	of	languages	
– I	am	the	only	developer	
– I	need	it	now
5
“When	do	you	open	tomorrow?”
6
Intent Utterances	(training	phrase)
“Are	you	closed	today?”
“What	are	your	opening	
hours?”
“What	time	do	you	open?”
“Closing	time?”
Opening	Hours
Places
7
Intent
“Are	you	closed	today?”
“What	are	your	opening	
hours?”
“What	time	do	you	open?”
“Closing	time?”
Opening	Hours
Places
Entity	(slot)
Date
“When	do	you	open	tomorrow?”
Utterances	(training	phrase)
Decision	#1:	How	to	identify	the	user’s	language?
• First-level	bulleted	text	is	Calibri	28	pt	
– Second-level	text	(press	tab	key)	is	24	pt	
• Third-level	text	(press	tab	key)	is	20	pt	
– Fourth-level	text	(press	tab	key)	is	18	pt	
• Calibri	is	the	only	font	used	in	the	template	
• All	bulleted	text	is	sentence	case	(capitalize	first	letter	of	
first	word)
8
Decision	#1:	How	to	identify	the	user’s	language?
9
Decision	#2:	How	will	our	AI	understand	all	languages?
10
Decision	#2:	How	will	our	AI	understand	all	languages?
11
1	AI	model	per	language	
• I	need	to	understand	and	translate	
intents/entities	
• How	is	my	platform	support	for	all	
languages?	
• A	lot	of	training
Use	translation	engine	
• Train	AI	in	English	(intent/entities)	
• Translation	engine	translates	input	to	
English	
• Run	English	translation	against	AI
Decision	#3:	How	to	respond	in	user’s	language?
12
Decision	#3:	How	to	respond	in	user’s	language?
13
Language	files	or	resources	
• Lots	of	knowledge	and	work	
• Accurate	and	controlled
Use	translation	engine	
• Support	many	languages	without	any	
effort	
• Use	translation	engine	to	translate	
English	to	the	identified	language	
• We	are	relying	on	a	translation	engine
Decision	#4:	What	if	we	can’t	help	the	user?
14
Decision	#4:	What	if	we	can’t	help	the	user?
15
Option	to	hand-over	to	human	
• Don’t	let	the	user	get	frustrated	
• Let	human	perform	sensitive	tasks
Clarify	current	responder	
• Who/what	is	the	user	talking	to?	
• Avoid	“uncanny	valley”	effect
16
Málaga	Tourism	Bot
• AI	trained	on	English	
• Identify	language	using	translation	engine	
• Translate	input	to	English	using	translation	engine	
• Understand	the	translated	input
16
Málaga	Tourism	Bot
• Office	opening	hours	(Sensitive)	
– Respond	using	translated	strings	
– Revert	to	English	if	unsupported
17
• Hospitals,	stadiums	and	museums	
(Not	sensitive)	
– Respond	using	translation	engine
18
Málaga	Tourism	Bot
• Hand-over	to	human	
– If	we	can’t	understand	user	
– If	user	gets	frustrated	
• Human	can	see	conversation	log	
• Human-to-human	chat
18
1919
m.me/MeetupLanguageBot
• Examples:	
– Are	you	open	on	New	Year's	
Day?	
– Where	is	the	hospital?	
– How	to	find	the	stadium?	
– Don’t	complain	to	the	bot,	you	
are	not	allowed	to	speak	to	the	
human	agent	;)
BounceA bot startup story
https://bouncebot.io
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Introduction to Bounce
What we’ve learned
Design
Wrap-up
Contents
2
Introducing
Bounce
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Christopher Weeks
Co-founder and CEO
PhD Computer Science
Alastair Byrne
Co-founder and CTO
MSc Engineering & Management
About us
4
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Mission
5
“To help inspire and support everyone to improve their
mental wellbeing”
Icons designed by Eucalyp from Flaticon
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Mental health problems are the single
largest cause of sick leave in the UK1
Cost to employers is between £33
billion and £42 billion2
The problem
6
1
ONS, Reference number: 005914
2
Stevenson / Farmer review of mental health and employers, 2017
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Bounce: a Messenger bot that helps
you feel better every day using
positive psychology
Our solution
7
What we’ve
learned
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot 9
No downloading or installation, zero to
Exercise in 20 seconds
No need to learn the interface, it is
Messaging
Notifications are more personal, as they are
mixed in with messages from friends and
family
Benefits of bots
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot 10
Discoverability
Bots can get stuck, design for it
Feeding back data
GDPR
Weaknesses of bots
Design
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Freeform conversational agents
create expectations you might
not be able to meet
Consider guiding interactions
and constraining freeform input
Great expectations
12
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
No more than two sentences per
message
No more than two messages
without an interaction
Keep it simple
Avoid text-speak, use correct
grammar and capitalisation
13
Content is king
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Messages should be friendly, positive
and, above all, pleasant to read
Be personal: address your users by
name where appropriate
Create empathy by giving your bot a
character - but don’t go overboard
Be clear to users that they are talking
to a bot
14
Nail the tone of voice
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Use buttons where they
simplify interactions and
reduce decision burden
for the user
15
UI as well as UX
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot 16
Give your bot aesthetic appeal by
adding colour, shape and visual
interest
Help the tone be light and playful
Break up blocks of text
Use emoji
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot 17
Create visual association for
related actions and concepts
Succinctly express different
concepts and actions
Use emoji
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot 18
(but you can go too far)
Use emoji
Emoji Dick (yes, really)
Wrap-up
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
1. Bots might just be perfect for mental wellbeing apps
2. They have some huge benefits, but it’s still early days
3. Bot design is nuanced and complex
20
Conclusions
Bounce - MUXL - 13 March 2018 - © Bounce (https://bouncebot.io) - @bounce_bot
Get in touch
21
Christopher Weeks
Co-founder and CEO
chris@bouncebot.io
07789 277 299
@FlippAWeeks
Alastair Byrne
Co-founder and CTO
alastair@bouncebot.io
07511 078 302
Bounce
https://bouncebot.io
hello@bouncebot.io
Twitter: @bounce_bot
Facebook: @bouncebot.io
Thank you
Evolution of the
native Messaging
application
AshaTrimble
LeadDesignManager
xdlabsLondon
MUXLDesigningforConversations&Messaging
Tuesday13th March2018
2018
34 years history of text messaging
Multi device access,
integrated iMessage
and chat features
Most trusted medium
by brands for offers,
appt reminders,
donations, identity
check, etc.
2012
99.9% of SMS being
read almost
immediately
2011
8 trillion texts sent
worldwide
150 billion in the UK
alone
2007
Text messaging
outnumbered phone
calls
2001
3G network compatible
1999
UK on-net restriction
for sending texts
lifted
1993
First commercial
launch of mobile
phone that could
send SMS
03.12.92
First SMS sent from
Neil Papworth to
Richard Jarvis
1985
Researcher Friedhelm
Hillebrand - 160
character limit
Engineer Matti
Makkonen invented
the SMS
1984
Rich Communications Suite (RCS) provides a service beyond voice & SMS
1:1 & Group Chat
Advanced instant messaging
experience over IP
Fallback to SMS when no data or
contact is not RCS
Location share
Geolocation push and pull
Send current or choose alternate
location
Media share
Photos, Images, Gifs, Videos,
Audio messages, Files,
Stickers, Emojis, Emoticons
“It’s Just There, It Just Works”
Video Calling
1/2 way IP video call
Upgrade/downgrade to/from voice
call
Presence Information
Is typing and sent/delivered/read/
failed message status indicators
Enriched Calling
Pre-call: Send subject, photo, location,
urgency
In-call: Video share, share sketch
(picture or map)
Post-call: Leave voicemail/message
Whatsapp
Facebook Messenger
QQ Mobile
WeChat
Skype
SnapChat
Viber
UNE
Blackberry Messenger
Telegram
Kakao Talk
RCS (Q1 2016)
RCS (TODAY)
RCS (Q4 '18)
RCS (Q4 '19)
0 300 600 900 1200
1bn
1bn
877m
846m
300m
300m
1.05bn
249m
217m
100m
100m
157m
350m
49m
30m
*source GSMA
Messaging apps by Monthly Active Users (MAU)
GSMARCS Forecast
SMS
By end of 2019, RCS
could be equal with
Whatsapp, Facebook
Messenger & WeChat*
Today SMS remains the premier messaging platform
3.5bn


Bots in short
A different attitude towards
technology
A new digital disruption: Messaging as a
Platform (MaaP)
Asking for information instead of browsing
for it or downloading & navigating through
a mobile application
Man shares his 85 year
old granny’s “polite”
Google search
Twitter
14th June 2016
RCS Business Messaging – the offer becomes more compelling
Branding
Name, Colour, Logo
Suggested Action
Tapping will open
URL, Map, Dialler,
Calendar, Location
push and app deep link
Rich Media
Images, videos, GIFs,
audio, map location
Verified Sender
Customers have
peace of mind
Carousel
Multiple rich cards sent in
a single message as a
carousel
Suggested Reply
Tapping will reply to the
conversation with the pre-
programmed customised
text
Deep Linking
Ability to take action
Rich Card
General purpose card with
generic fields: media (image/
gif), title, description, replies,
actionsTrue Metrics
Client based DLRs
Read Receipts for
Brands
Suggested Chip List
Suggested replies and
actions interactions with
embedded postdata sent
back
SMS v RCS Chatbot
It doesn’t cost anything to
learn about the new
Orange Love subscriptions,
just as it doesn’t cost you a
TV subscription all the time.
Learn more at 0800 400
405 or www.orange.ro/love
SMS – Love campaign RCS – Love campaign
More than a message A call to action
No coins?
Meter not working?
Don’t want to call an IVR?
Pay for Ezy-Park with your phone bill
Text “Park” to 070902
or scan Ezy-Park code
& pay by phone!
Evolution of the Messaging UI/UX
RCS (P2P)
1:1/Group Chat
Enhanced + SMS/MMS
SMS/MMS (P2P)
1:1
Basic experience
RCS Chatbots
(A2P/P2A)
1:1 and Group Chat
All 3 experiences available within the one application
Food for thought
– Chatbot UX
challenges
Thanks
asha.trimble@orange.com

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Mobile UX London meet-up 13:03:2018