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A comparative study of Gemini generated personas and real user personas for restaurant POS design

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorRabiul Alam, Md. Golam
dc.contributor.authorAhmed, Junaed
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-04-20T09:12:27Z
dc.date.available2026-04-20T09:12:27Z
dc.date.copyright2025
dc.date.issued2026-02
dc.descriptionCataloged from PDF version of internship report.
dc.descriptionIncludes bibliographical references (pages 34-35).
dc.descriptionThis internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2026.en_US
dc.description.abstractThe work experience under the internship is recorded in this report, which is based on the position of a UI/UX Designer in the design of a Restaurant Point of Sales(POS) Design at Bdcalling IT Ltd. In particular, it demonstrates a case study of incorporating Human Computer Interaction (HCI) which focuses more on real world human users prior to the creation of interactive systems, but with the recent increase in the accessibility of large language models (LLMs) like Google Gemini, designers of user personas are evolving their views of the task. The paper presents a personal post internship research that presents a comparative study systematically of personas developed using real restaurant employees versus personas developed using Gemini of similar positions in a restaurant point of sale (POS) design. Based on HCI and UX literature on personas and synthetic users, the study develops and evaluates the hypothesis that Gemini generated personas can be used to approximate real user personas regarding the high level attitude and task objectives but it is systematically under representative of local infrastructural, organizational and cultural constraints. A structured questionnaire was used to gather new field data with the restaurant managers, cashiers, waiters and kitchen staff, and similar Gemini personas were generated by using detailed prompts to describe the same scenario. The most significant constructs included learning comfort with new software (1-5) and the rating of the importance of POS features (1-3) that were aligned among the groups and compared with the Mann Whitney U test that was adequate in the case of small and independent samples with ordinal Likert type data. Findings indicate that Gemini personas are quite close to actual staff on such large constructs as comfort with technology and the value of fast order entry and split bill support, and are more conservative in terms of the strength of issues relating to stock visibility, offline resilience and staff level accountability as reported by workers. The paper concludes that Gemini generated personas can be useful to jumpstart early HCI work, particularly when resources are limited, but it must be applied as a baseline and confirmed against actual user data before it is applied to make critical design choices in human centered software engineering.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityJunaed Ahmed
dc.format.extent36 pages
dc.identifier.otherID 24141218
dc.identifier.urihttp://hdl.handle.net/10361/27975
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectPoint of sale (POS)en_US
dc.subjectHuman computer interactionen_US
dc.subjectSynthetic usersen_US
dc.subjectGoogle Geminien_US
dc.subject.lcshUser-centered system design.
dc.subject.lcshPoint-of-sale systems.
dc.subject.lcshNatural language generation (Computer science).
dc.subject.lcshArtificial intelligence--Computer programs.
dc.subject.lcshArtificial intelligence.
dc.titleA comparative study of Gemini generated personas and real user personas for restaurant POS designen_US
dc.typeInternship Reporten_US

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