I have created spark dataframe using scala, here is sample data

emp_id|result
1000  | [true,true,true]
1001  | [true,false,true]
1002  | [true,true,true]

result column is array<boolean>

I would like to generate final dataframe to compare the all values with result column for a given value

If given value is true, then expecting out come should be 

emp_id|result            | output
1000  | [true,true,true] | true
1001  | [true,false,true]| false
1002  | [true,true,true] | true

what is the better approach to achieve this using spark dataframe using scala.
I appreciate your help on this.