Research interviews conducted by聽artificial intelligence can help academics conduct studies on an聽unprecedented scale and produce more nuanced results, it聽has been claimed.
Two London School of Economics scholars have developed a聽chatbot powered by a聽large language model that, they say, can complete interviews with thousands of聽participants in a聽matter of聽hours.
Rather than having a standard set of multiple-choice and open text questions, as has typically been the case with online surveys, the chatbot takes a conversational approach, collecting interviewees鈥 responses and using them to generate new questions within a broad set of parameters.
Its creators, Friedrich Geiecke, an assistant professor of computational social science, and Xavier Jaravel, a professor of economics, say the tool employs best practice from academic literature 鈥 for example, encouraging participants to freely express their views, and then posing follow-up questions to ensure clarity.
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They also claim that the chatbot demonstrates 鈥渃ognitive empathy鈥, using its follow-up questions to seek to understand an interviewee鈥檚 perspective as closely as they understand it themselves.
The tool is to download, adapt and use.
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In trials, it . A team of sociology PhD students from Harvard University and the LSE that was asked to assess the quality of the interviews based on transcripts rated them as being broadly comparable to interviews conducted by human experts.
And when the almost 1,000 study participants were asked to evaluate their interaction with the chatbot, the majority said they had enjoyed it and preferred this mode of interview over open text fields. Only 15聽per cent of respondents said they would have preferred the interview to have been conducted by a聽person.
Respondents also tended to provide more detailed responses than they did with traditional open text boxes, with a 142聽per cent increase in the number of words written.
These advantages were particularly evident in relation to political questions. Here, the researchers found that participants preferred interacting with the chatbot because they viewed it as a 鈥渘on-judgemental entity鈥, allowing them 鈥渢o feel more comfortable and to freely express their views鈥.
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When combined with platforms that allow scholars to聽recruit large survey samples, such as Prolific, the tool could allow for research on a significant scale, at a cost of about 拢3聽to 拢4聽per participant.
Professor Jaravel said they were 鈥渃lose鈥 to incorporating voice interactions into the chatbot and were also looking at how AI could be used to analyse the responses collected, which would helpful because the method can lead to researchers having 鈥渕illions鈥 of sentences to sift through.
While the tool might not be adopted immediately by the likes of anthropologists and sociologists, who tend to conduct very lengthy interviews with relatively small samples, he said the tool might serve to bridge the gap between qualitative and quantitative research for scholars such as economists and political scientists.
鈥淚 think this will probably transform the way economists and political scientists do surveys,鈥 Professor Jaravel told 探花视频. 鈥淎s we add more features, we will get increasingly closer to qualitative interviewing, and that might be on the horizon, but that鈥檚 not the primary goal.
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鈥淭he goal is that we can do something that鈥檚 really low cost, and not any more expensive than what political scientists and economists currently do, that鈥檚 going to have much more traction to extract information and keep the respondents engaged.鈥
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