Dataset Handle: 20.500.14123/1079

Materialien und Daten zum Research Paper "Artificial empathy in healthcare chatbots: Does it feel authentic?"

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Chronological data

Date of availability in catalog2024-06-17
Available from / since 2024-06-17

Language of the resource

German

Related external resources

Supplement to DOI: 10.1016/j.chbah.2024.100067
Seitz, L. (2024). Artificial empathy in healthcare chatbots: Does it feel authentic? Computers in Human Behavior: Artificial Humans, 2(1), 100067.

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Abstract

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.

Resource type

Dataset

Kinds of Data

Survey Data
Context Materials / Supporting information
Survey Instruments / Measuring Instruments
Logfiles / Usage Data / Protocols
Statistical Evaluations / Tables

Methods

Experiment (Web-based)

Thematic classification

Mensch-Computer-Interaktion

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

Notes

The data sets were analyzed using SPSS.

More information

Time Period of the Collection of the Data

Time Period of the Creation of the Dataset

2022-08 - 2023-03

Temporal Coverage of the Dataset

Geolocation (Country)

Germany

Geolocation (Region/Location)