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License: MIT License
Conversational Agent Research Toolkit
License: MIT License
As random_balanced can still lead to issues, sequential can be useful especially for pretests.
if experimental_design['assignment_method'] == 'sequential':
sql = 'SELECT conditionid FROM conversations'
db.commit()
cur = db.query(sql)
results = cur.fetchall()
if len(results) == 0:
return conditions[0]
results = [item[0] for item in results]
last_cond = results[-1]
total_cond = len(conditions)
if conditions.index(last_cond) + 1 == total_cond:
return conditions[0]
else:
return conditions[conditions.index(last_cond) + 1]
As suggested by one anonymous reviewer:
recommend to change system to automatically advance to survey after chatbot done, or at least put the 'robotic' text in a different color/font, since 'please enter B150 code' puts the chatbot in an experimenter's voice and role, which is not appropriate for a chatbot that could have a different role and can influence people's perception of the chatbot, especially if there's multiple chatbot interactions in a participant's session.
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