  Most online information sources are text-based and in Western Languages like
English. However, many new and first time users of the Internet are in contexts
with low English proficiency and are unable to access vital information online.
Several researchers have focused on building conversational information systems
over voice for this demographic, and also highlighted the importance of
building trust towards the information source. In this work we develop four
versions of a voice based chat-bot on the Google Assistant platform in which we
vary the gender, friendliness and personalisation of the bot. We find that the
users rank the female version of the bot with more personalisations over the
others; however when rating the bots individually, the ratings depend on the
ability of the bot to understand the users' spoken query and respond
accurately.
