Designing a Virtual Client for Requirements Elicitation Interviews

Debnath, Sourav; Spoletini, Paola

doi:10.1007/978-3-030-44429-7_12

Cited by 5 publications

(13 citation statements)

References 11 publications

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“…Debnath and Spoletini propose a multimodal virtual conversational agent playing the role of the stakeholder to provide students with an interview simulator. 9 Their proposal employs a report generator that evaluates user responses and provides a report. Their initial exploratory study demonstrates that participants who used the system before conducting stakeholder interviews outperformed those who did not.…”

Section: Use Of Technologies In Requirements Engineering Educationmentioning

confidence: 99%

“…This style of interviewer training is also used by Debnath and Spoletini, 9 where the trainee interacts with a text-based user interface where the response of the stakeholder is also provided as text. In RoboREIT, Nao speaks out the response, and only the choices are displayed on a screen.…”

Section: T3mentioning

confidence: 99%

“…Some students may be paired with someone who excels in their role, while others may be paired with someone who has little interest in the activity and performs poorly. 9 Technological tools like games, domain expert systems, and simulations can overcome these limitations of humanhuman role-playing activities by incorporating a digital interview partner. 10 Social robots have been a prevalent source of help, particularly in professions like teaching, training, and education, where success depends on regular practice and attentive supervision.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, Rob-oREIT utilizes the scenario presented in Debnath and Spoletini. 9 However, RoboREIT is designed to work with any other scenario for another domain or project, or with a specific subset of types of interview mistakes identified by Bano et al 14 To the best of our knowledge, RoboREIT is the first interactive system that utilizes a social robot for requirements elicitation interview training. We evaluated RoboREIT with a diverse group of software engineering professionals and students in comparison to VICO, a web-based interview simulator by Debnath and Spoletini.…”

Section: Introductionmentioning

confidence: 99%

“…We evaluated RoboREIT with a diverse group of software engineering professionals and students in comparison to VICO, a web-based interview simulator by Debnath and Spoletini. 9 We quantitatively evaluated RoboREIT by inspecting the participants' interactions with the system and their responses to a series of questionnaires. During interview turns, the participants reacted noticeably more quickly in RoboREIT than in VICO, which may be attributed to the audio-visual interaction modality offered by an embodied social robot.…”

Section: Introductionmentioning

confidence: 99%

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RoboREIT: An interactive robotic tutor with instructive feedback component for requirements elicitation interview training

Görer,

Aydemir

2023

J Software Evolu Process

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Interviewing stakeholders is the most popular technique for eliciting requirements. The success of an interview depends on the interviewer's theoretical knowledge, preparedness, and communication skills. Practice interviews allow students to apply their knowledge and improve their skills through experience. This practical training is resource‐intensive, requiring the time and effort of a stakeholder for each student, which may not be feasible for a large number of students. This paper introduces RoboREIT, an interactive Robotic tutor for Requirements Elicitation Interview Training. RoboREIT addresses the scalability problem of practice sessions with a robotic tutor acting as a stakeholder during the interview and providing feedback after the interview. We performed an exploratory user study to evaluate RoboREIT and demonstrate its applicability in requirements elicitation interview training. The quantitative and qualitative analyses of the users' responses reveal the appreciation of RoboREIT. Our study is the first in the literature that utilizes a social robot in requirements elicitation interview education. RoboREIT's design incorporates replaying faulty interview stages and allows the student to learn from mistakes by a second time practicing. All participants praised the feedback component, which is not present in the state of the art, for being helpful in identifying the mistakes. A favorable response rate of 81% for the system's usefulness indicates the positive perception of the participants.

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Section: Use Of Technologies In Requirements Engineering Educationmentioning

confidence: 99%

Section: T3mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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RoboREIT: An interactive robotic tutor with instructive feedback component for requirements elicitation interview training

Görer,

Aydemir

2023

J Software Evolu Process

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A Virtual Assistant System for the Requirements Elicitation and Initial Simulation Model Variant Generation of Modular Industrial Plants

Tinsel

Riedel

2022

2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

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Chatbot-based Interview Simulator: A Feasible Approach to Train Novice Requirements Engineers

Laiq

Dieste

2020

2020 10th International Workshop on Requirements Engineering Education and Training (REET)

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Introduction: Although the interview is the most important and widely used requirements elicitation technique, novice engineers do not receive adequate training in Requirements Engineering (RE) courses. Objectives: The goal of the research is to develop an AI-based interview simulator for helping novice requirements engineers in gaining interview skills. Methods: The research is based on the Design Science Methodology for Information Systems. The simulator is the outcome of six cycles; in each cycle, a proof of concept with additional features is created. Each cycle finishes with evaluation and improvement suggestions. Results: The simulator has been tested with students and results have been promising. The interview simulator understands context-free questions, retrieving the right information related to RE concepts such as Tasks, Goals, Users, Benefits, Stakeholders, Constraints, and Integration. Furthermore, the simulator also makes summaries of conversation, answers meta-questions, and questions based on the context. Conclusions: The simulator has received good response from students, they were able to complete the tasks and feedback suggests that simulator will be surely helpful for novice engineers to improve interview skills. Moreover, the interview simulator will be tested in a real RE course in the academic year 2020-2021. Once it proves effective in the classroom, it will be opened to the RE community for free use and improvement.

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Designing a Virtual Client for Requirements Elicitation Interviews

Cited by 5 publications

References 11 publications

RoboREIT: An interactive robotic tutor with instructive feedback component for requirements elicitation interview training

RoboREIT: An interactive robotic tutor with instructive feedback component for requirements elicitation interview training

A Virtual Assistant System for the Requirements Elicitation and Initial Simulation Model Variant Generation of Modular Industrial Plants

Chatbot-based Interview Simulator: A Feasible Approach to Train Novice Requirements Engineers

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