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https://hdl.handle.net/20.500.14123/1079
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| Field | Value |
|---|---|
| Original Title | Materialien und Daten zum Research Paper "Artificial empathy in healthcare chatbots: Does it feel authentic?" |
| Handle | 20.500.14123/1079 |
| Kinds of Data | Survey Data Statistical Evaluations / Tables Logfiles / Usage Data / Protocols Survey Instruments / Measuring Instruments Context Materials / Supporting information |
| Resource Type | Dataset |
| Creator | Seitz, Lennart  0000-0003-0070-0309 (Institut für Management & Organisation, Leuphana Universität Lüneburg  02w2y2t16) |
| Description of the Dataset | The dataset contains data and materials that have been created and collected as empirical basis for the first paper "Artificial empathy in healthcare chatbots: Does it feel authentic?" of the cumulative dissertation "Social Actor or Technology? Experimental Studies on the Perception of Chatbots Versus Humans and Their Implications for Anthropomorphic Chatbot Design". The researcher conducted two experimental online studies in which participants took the position of a sick person before interacting with a diagnostic chatbot programmed for the purpose of this paper. Participants were randomly assigned to one of four different diagnostic chatbots whose communication styles were designed in congruence with established empathy theories and related research (empathetic: feeling with; sympathetic: feeling for; behavioral-empathetic: empathetic helping; non-empathetic: control condition). Results from parallel mediation analyses revealed that the positive effect of empathy on trust and using intentions mediated by an increased perceived warmth is attenuated by a simultaneous loss in perceived authenticity for the chatbots utilizing experiential expressions of empathy. The effect occurred independently of whether the bot showed personifying elements (Study 2) or not (Study 1). A third study did not replicate the backfiring effect when participants watched a chat between a patient and a human physician, i.e., experiential expressions were only inauthentic in bots, not in humans. |
| Methods | Experiment (Web-based) |
| Keywords | Künstliche Intelligenz; Chatbot; Kommunikation; Mensch-Computer-Interaktion; Empathie; Anthropomorphismus; Wahrnehmung; Gesundheit; Beratung; Diagnostik; Authentizität; Artificial Intelligence; Chatbot; Communication; Human-Computer-Interaction; Empathy; Anthropomorphism; Perception; Health; Consultation; Diagnosis; Authenticity |
| Thematic Classification | Mensch-Computer-Interaktion |
| Language of the Resource | German |
| Geolocation | Country: Germany |
| Time Period of the Creation of the Dataset | 2022-08 - 2023-03 |
| Notes | The data sets were analyzed using SPSS. |
| Date of Availability | 2024-06-17T12:40:38Z |
| Date of issue | 2024-06-17 |
| Archiving Facility | Medien- und Informationszentrum (Leuphana Universität Lüneburg 02w2y2t16) |
| Published by | Medien- und Informationszentrum, Leuphana Universität Lüneburg |
Related Resources
Superordinate Data Collection: Daten PhD Seitz
| Field | Value |
|---|---|
| Academic Discipline | Humanities and Social Sciences / Economics |
| Participating Researchers | Seitz, Lennart 0000-0003-0070-0309 (Institut für Management & Organisation (IMO), Leuphana Universität Lüneburg 02w2y2t16) |
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