Originaltitel	Materialien und Daten zum Research Paper "Artificial empathy in healthcare chatbots: Does it feel authentic?"
Handle	20.500.14123/1079
Datenart / Typ	Umfragedaten Statistische Auswertungen / Tabellen Logfiles / Nutzungsdaten / Protokolle Erhebungs- / Messinstrumente Kontext- / Begleitmaterialien
Ressourcentyp	Datensatz
Autor* in / Erzeuger* in	Seitz, Lennart  0000-0003-0070-0309 (Institut für Management & Organisation, Leuphana Universität Lüneburg  02w2y2t16)
Beschreibung des Datensatzes	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.
Angewandte Methoden	Experiment (Webbasiert)
Schlagwörter	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
Thematische Einordnung	Mensch-Computer-Interaktion
Untersuchungsgebiet (Geo)	Land: Deutschland
Anmerkungen zum Datensatz	The data sets were analyzed using SPSS.
Veröffentlicht durch	Medien- und Informationszentrum, Leuphana Universität Lüneburg
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