The effect of visual emotional information on the user experience of chatbots

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2020-07-01
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en
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The exponential increase of investment in chatbots demonstrates their current popularity and their potential for the future. Despite the high demand, chatbots still face the challenge of naturally communicating in a human-like manner. The ability to convey personality and (appropriate) humour in chats is typically human, but a huge challenge for chatbots. Visual elements like GIFs and emojis contain emotional information that help people to express themselves when there is no face-to-face contact. In this study a text-only chatbot will be compared to a chatbot that uses visual emotional information to test what the effect is on the user experience. The user experience will be measured with three concepts from the Technology Acceptance Model (TAM) and two additional concepts: Enjoyment and Social Presence. The results suggest that visual emotional information has no significant effect on the user experience. However, correlation tests reveal that Enjoyment and Social Presence seem to be good predictors for people’s attitude towards using a chatbot.
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Faculteit der Sociale Wetenschappen