Improving Immersion in Symptom-Checker Chatbot Studies through Sensory Symptom Simulation
- Institut
- Lehrstuhl für Ergonomie (TUM-ED)
- Typ
- Masterarbeit
- Inhalt
- experimentell
- Beschreibung
Background
User studies with medical symptom-checking chatbots often rely on hypothetical scenarios. Participants are asked to imagine that they have a symptom and then interact with a chatbot. While this approach allows experimental control, it limits ecological validity: Participants are not actually experiencing the symptom, uncertainty, discomfort, or urgency of a real health situation.
Objective
The goal of this thesis is to design and evaluate an immersion-enhancing scenario induction method for healthcare chatbot studies. The thesis will compare traditional text-based scenarios with one or more sensory or multimodal simulation methods.
Possible Research Questions
- Which scenario induction method leads to higher perceived immersion in a symptom-checker chatbot study?
- Does sensory symptom simulation increase perceived realism?
- Does increased immersion influence chatbot evaluation outcomes such as trust, perceived usefulness, acceptance, or intention to follow advice?
Methodological Approach
The thesis may include:
- literature review on immersion, symptom simulation, and ecological validity;
- design of different scenario induction conditions;
- empirical user study comparing the conditions;
- quantitative measurement of immersion, realism, trust etc.
Expected Outcome
The thesis should result in:
- a structured overview of immersion methods for medical chatbot studies;
- a reusable scenario-induction protocol;
- empirical evidence on whether sensory symptom simulation improves immersion;
- recommendations for future symptom-checker user studies.
- Voraussetzungen
- interest in human–AI interaction, healthcare chatbots, and experimental research;
- basic knowledge of study design and quantitative analysis;
- ability to work with online survey tools or simple chatbot prototypes;
- experience with physiological measurement equipments: eg. EEG
- optional: experience with Python, JavaScript, LimeSurvey, or web-based prototyping.
- Möglicher Beginn
- sofort
- Kontakt
-
Rutuja Joshi
Raum: MW3329
Tel.: +49 162 2062924
rutuja.joshitum.de - Ausschreibung
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