Whose Advice Counts More – Man or Machine? An Experimental Investigation of AI-based Advice Utilization

Date
2021-01-05
Authors
Mesbah, Neda
Tauchert, Christoph
Buxmann, Peter
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4083
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Abstract
Due to advances in Artificial Intelligence (AI), it is possible to provide advisory services without human advisors. Derived from judge-advisor system literature, we examined differences in the advice utilization depending on whether it is given by an AI-based or human advisor and the similarity of the advice and their own estimation. Drawing on task-technology fit we investigated the relationship between task, advisor and advice utilization. In study A we measured the actual advice utilization within a guessing game and in study B we measured the perceived task-advisor fit for this game. The findings show that compared to human advisors, judges utilize advices of AI-based advisors more when the advice is similar to their own estimation. When the advice is very different to their estimation, the advices are used equally. Concluding, we investigated AI-based advice utilization and presented insights for professionals providing AI-based advisory services.
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Artificial Intelligence-based Assistants, artificial intelligence, advice taking, judge-advisor system, distance effects, task-technology fit
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10 pages
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Proceedings of the 54th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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