Public Attitudes Toward AI in Customer Service (Group Research Project)

Course: Skills for Data Analysts (SKIB353)
Client scenario: OmniAssist Technologies (VP of Product; Director of Client Success)
Type: Group research project (survey-based)

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1. Project Overview

This project investigates public attitudes toward AI in customer service, focusing on:

• trust
• helpfulness
• convenience
• ease of interaction (low frustration)
• preference for AI vs human support
• intention to use AI tools

The study uses a short online survey and Python-based statistical analysis (descriptive statistics, correlations, ANOVA, regression).

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2. Key Deliverables

• Final report (Markdown): report/final/group_research_report.md
• Presentation: presentation/a3_public_attitudes_ai_customer_service.pptx
• Analysis notebook: analysis/notebooks/a3_analysis.ipynb
• Figures: outputs/figures/

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3. Data Handling

Raw survey exports are not committed by default to protect participant privacy. See: data/README_data.md

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4. Academic Integrity and AI Disclosure (Level 2)

This project follows the module’s AI Level 2 guidance: AI tools were used only for idea generation and structuring support. See:

• docs/AI_USAGE.md
• docs/ACADEMIC_INTEGRITY.md

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5. Team

See: docs/GROUP_CONTRIBUTION.md