<?xml version="1.0" encoding="UTF-8" ?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-12T06:22:04Z</responseDate><request identifier="10.35097/1210" metadataPrefix="oai_dc" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/1210</identifier><datestamp>2026-10-09T10:53:58Z</datestamp><setSpec>radar4kit</setSpec></header><metadata><oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/"
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   <dc:identifier>https://dx.doi.org/10.35097/1210</dc:identifier>
   <dc:creator>Gnewuch, Ulrich</dc:creator>
   <dc:creator>Feine, Jasper</dc:creator>
   <dc:creator>Morana, Stefan</dc:creator>
   <dc:creator>Mädche, Alexander</dc:creator>
   <dc:title>ExpBot - A dataset of 79 dialogs with an experimental customer service chatbot</dc:title>
   <dc:publisher>Karlsruhe Institute of Technology</dc:publisher>
   <dc:date>2023</dc:date>
   <dc:subject>Economics</dc:subject>
   <dc:type>dataset</dc:type>
   <dc:subject>Dataset</dc:subject>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</dc:rights>
   <dc:description>This dataset consists of 79 dialogs between a human user and a chatbot in English language. This data was collected during an online experiment conducted by the research group "Information Systems &amp; Service Design" at the Karlsruhe Institute of Technology (KIT). &#xD;
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Experimental task:&#xD;
Participants were asked to interact with a chatbot to find out whether they could save money by switching to a better mobile phone plan. Additionally, there were shown a fictitious copy of last month's mobile phone bill. During the conversation, the chatbot asked about the participant's usage patterns (e.g., how much data was used) and recommended a randomly generated plan that better met the participant’s requirements. For more information, see Gnewuch et al. (2018).&#xD;
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If you have any questions, please contact us via email (info@chatbotresearch.com) or visit https://chatbotresearch.com.&#xD;
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WARNING!&#xD;
Some dialogs contain profanity and/or offensive language. Profanity was not removed because it is important for calculating sentiment scores.&#xD;
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PUBLICATIONS / REFERENCES&#xD;
Gnewuch, U., Morana, S., Adam, M. T. P., and Maedche, A. 2018. “Faster Is Not Always Better: Understanding the Effect of Dynamic Response Delays in Human-Chatbot Interaction,” in Proceedings of the 26th European Conference on Information Systems (ECIS 2018), Portsmouth, United Kingdom.&#xD;
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Feine, J., Morana, S., and Gnewuch, U. 2019. “Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis,” in Proceedings of the 14th International Conference on Wirtschaftsinformatik (WI 2019), Siegen, Germany, February 24–27.</dc:description>
   <dc:subject>chatbot</dc:subject>
   <dc:subject>chat data</dc:subject>
   <dc:subject>dialogs</dc:subject>
   <dc:subject>sentiment analysis</dc:subject>
   <dc:subject>satisfaction</dc:subject>
   <dc:subject>experiment</dc:subject>
   <dc:identifier>10.5445/IR/1000117842</dc:identifier>
   <dc:identifier>KITopen-DOI</dc:identifier>
   <dc:format>application/x-tar</dc:format>
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