SARA Smart AI Reception Assistant: Three-Stage User Interaction and Survey Dataset

Published: 16 June 2026| Version 1 | DOI: 10.17632/f4d5dbk6x2.1
Contributor:
Md Abdullah Al Mashud

Description

This dataset contains 2,759 user interaction and survey records from a three-stage iterative deployment of SARA (Smart AI Reception Assistant), a multimodal and bilingual (Bangla-English) AI receptionist system deployed at United International University, Bangladesh. Each record contains: automatically logged objective system performance metrics (ASR latency, TTS quality, RAG accuracy, biometric recognition outcomes), post-interaction survey responses measuring behavioral constructs (Perceived Ease of Use, Perceived Usefulness, System Trust, Cognitive Load, Interaction Satisfaction, Behavioral Intention to Adopt), substitution readiness judgments, task-level AI acceptance preferences, and open-ended qualitative feedback. Stage 1 (N=613): March–April 2025. Stage 2 (N=1,024): June–July 2025. Stage 3 (N=1,122): October–December 2025. All variables are documented in CODEBOOK.md. Data is anonymized. CC BY 4.0. Authors: Md. Abdullah Al Mashud, Rubaiya Rahtin Khan, Farhana Sarker, Khondaker A. Mamun

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Social Sciences, Psychology, Computer Science, Artificial Intelligence, Education, Human-Computer Interaction

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