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CHATBOT
PERSONALITY
Extending Five Factor model
to Chatbot Personality
When it comes to human personalities, I relate
to the five personality traits theory aka five
factor model (FFM). I will not go too detail into
this as this blog is more focused on how this
model can be extended to defining/designing
chatbot personality. The Five factor model
defines the taxonomy for personality traitsby
using the below five factors as listed below –
Openness to experience
– defined by the degree of curiosity, creativity and
preference for novelty and variety involved. It is
also described as the extent to which a person is
imaginative or independent and depicts a personal
preference for a variety of activities over a strict
routine.
Conscientiousness
– defined by the degree of efficient and organized.
This is usually reflected by the planned vs
spontaneous behaviors. In other words, low
conscientiousness means more flexibility and
spontaneity but can also appear low reliability.
Extraversion
– defined by the degree of outgoing and energetic.
This is usually reflected by more positive emotions,
assertiveness and sociability.
Agreeableness
– defined by the degree of friendly and
compassionate.This is usually reflected by the
measure of trust, helpful and even the level of
submissiveness. Low agreeableness also seen as
most often competitive/challenging and as
argumentative.
Neuroticism
– defined by the degree of sensitiveness, emotional
stability and impulse control. Higher neuroticism is
viewed as more unstable, and insecure
Factors Intent or Dialogs that could be used
to identify chatbot personality
Example chatbot personality BOTs
Openness to experience This trait could be defined by how
focused the BOT on a particular
subject is – is it more generalist or
specialist BOT?
I see generalist BOTS like Siri, Alexa
are more towards high openness to
experience vs. specialty BOTS such
as task focused – pizza, weather,
news bots etc., If Iam creating a
Pizza ordering Chabot, I would want
it anyhow to ne more task focused
vs. openness to experience.
Conscientiousness This trait could be defined by the
approach of how the conversations
are conducted – is it more open
ended vs. menu driven? More the
planned, the more the conversation
is orchestrated via menus. More
menu driven bots in my opinion
could be characterized as high in
conscientiousness.
E.g. Food ordering chatbots where
conversations are very focused and
can be conducted via menu driven
vs. sales process driven chatbots
where its open ended.
Extraversion The way the information is collected
– actively or passively. Some bots
tend to collect first the information
even before proceeding with the
business process.
The other aspect is not following a
predicted path and more outgoing in
the responses and opening up
conversations such as ““I see you are
from LA…What is the weather like
today?”
E.g. Sales bot would be more
extravert where it can be quite
adamant that it needs the
information first before any further
information could be sent.
Agreeableness The stable the platform is. The more
stable, the less neurotic.
I see there are lots of bots which is
not well trained or doesn’t have all
flows covered or very rudimentary.
All these bots would fall under
highly neurotic
More mature bots which are very
consumer focused with voice
assisted services like Alexa, Siri that
has been trained over many
consumers would fit the profile of
low neurotic.
This is my effort towards encouraging users to have
a good design and planning around any bot
development before deep diving into development.
80% Planning and 20% development is how it
should be.
Ref Link:
https://www.intellectyx.com/blog/chatbot-
personality/
Thank You !

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Extending Five Factor model to Chatbot Personality

  • 2. Extending Five Factor model to Chatbot Personality When it comes to human personalities, I relate to the five personality traits theory aka five factor model (FFM). I will not go too detail into this as this blog is more focused on how this model can be extended to defining/designing chatbot personality. The Five factor model defines the taxonomy for personality traitsby using the below five factors as listed below –
  • 3. Openness to experience – defined by the degree of curiosity, creativity and preference for novelty and variety involved. It is also described as the extent to which a person is imaginative or independent and depicts a personal preference for a variety of activities over a strict routine.
  • 4. Conscientiousness – defined by the degree of efficient and organized. This is usually reflected by the planned vs spontaneous behaviors. In other words, low conscientiousness means more flexibility and spontaneity but can also appear low reliability.
  • 5. Extraversion – defined by the degree of outgoing and energetic. This is usually reflected by more positive emotions, assertiveness and sociability.
  • 6. Agreeableness – defined by the degree of friendly and compassionate.This is usually reflected by the measure of trust, helpful and even the level of submissiveness. Low agreeableness also seen as most often competitive/challenging and as argumentative.
  • 7. Neuroticism – defined by the degree of sensitiveness, emotional stability and impulse control. Higher neuroticism is viewed as more unstable, and insecure
  • 8. Factors Intent or Dialogs that could be used to identify chatbot personality Example chatbot personality BOTs Openness to experience This trait could be defined by how focused the BOT on a particular subject is – is it more generalist or specialist BOT? I see generalist BOTS like Siri, Alexa are more towards high openness to experience vs. specialty BOTS such as task focused – pizza, weather, news bots etc., If Iam creating a Pizza ordering Chabot, I would want it anyhow to ne more task focused vs. openness to experience. Conscientiousness This trait could be defined by the approach of how the conversations are conducted – is it more open ended vs. menu driven? More the planned, the more the conversation is orchestrated via menus. More menu driven bots in my opinion could be characterized as high in conscientiousness. E.g. Food ordering chatbots where conversations are very focused and can be conducted via menu driven vs. sales process driven chatbots where its open ended.
  • 9. Extraversion The way the information is collected – actively or passively. Some bots tend to collect first the information even before proceeding with the business process. The other aspect is not following a predicted path and more outgoing in the responses and opening up conversations such as ““I see you are from LA…What is the weather like today?” E.g. Sales bot would be more extravert where it can be quite adamant that it needs the information first before any further information could be sent. Agreeableness The stable the platform is. The more stable, the less neurotic. I see there are lots of bots which is not well trained or doesn’t have all flows covered or very rudimentary. All these bots would fall under highly neurotic More mature bots which are very consumer focused with voice assisted services like Alexa, Siri that has been trained over many consumers would fit the profile of low neurotic.
  • 10. This is my effort towards encouraging users to have a good design and planning around any bot development before deep diving into development. 80% Planning and 20% development is how it should be. Ref Link: https://www.intellectyx.com/blog/chatbot- personality/