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

Evaluating Trust in the Context of Conversational Information Systems for new users of the Internet