TY - GEN

T1 - Towards Collaborative Vision Video Production

T2 - 9th IFIP WG 13.2 International Working Conference on Human-Centered Software Engineering, HCSE 2022

AU - Nagel, Lukas

AU - Klünder, Jil

AU - Hausmann, Christoph

AU - Schneider, Kurt

N1 - Funding Information: Acknowledgment. This work was supported by the German Research Foundation (DFG) (project ViViUse, grant No. 289386339).

PY - 2022

Y1 - 2022

N2 - Differing mental models of stakeholders can lead to conflicting requirements which can threaten the success of the software project if they are not resolved. Therefore, producing a shared understanding of the project vision among stakeholders is crucial. Vision videos are one possible method to produce such a shared understanding by allowing stakeholders to identify and resolve discrepancies between their mental models. However, stakeholders often mistakenly expect a high effort being required for the production of vision videos and therefore refrain from using them. In this paper we present concepts that are designed to aid stakeholders in a collaborative production of vision videos by enabling them to produce vision videos using their personal smartphones. The concepts reduce an individual stakeholder’s workload by distributing the necessary tasks amongst all relevant stakeholders. Preliminary sessions of an experiment comparing a prototype of our concepts with existing methods have resulted in the discovery of promising tendencies. Participants using the prototype were only required to actively work on the vision video for little over half the time. We expect these tendencies to be strengthened by further experiment sessions. Nevertheless, our results indicate that the concepts presented in this paper are a meaningful step towards a collaborative vision video production.

AB - Differing mental models of stakeholders can lead to conflicting requirements which can threaten the success of the software project if they are not resolved. Therefore, producing a shared understanding of the project vision among stakeholders is crucial. Vision videos are one possible method to produce such a shared understanding by allowing stakeholders to identify and resolve discrepancies between their mental models. However, stakeholders often mistakenly expect a high effort being required for the production of vision videos and therefore refrain from using them. In this paper we present concepts that are designed to aid stakeholders in a collaborative production of vision videos by enabling them to produce vision videos using their personal smartphones. The concepts reduce an individual stakeholder’s workload by distributing the necessary tasks amongst all relevant stakeholders. Preliminary sessions of an experiment comparing a prototype of our concepts with existing methods have resulted in the discovery of promising tendencies. Participants using the prototype were only required to actively work on the vision video for little over half the time. We expect these tendencies to be strengthened by further experiment sessions. Nevertheless, our results indicate that the concepts presented in this paper are a meaningful step towards a collaborative vision video production.

KW - Collaboration

KW - Requirements engineering

KW - Vision video

UR - http://www.scopus.com/inward/record.url?scp=85137065902&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-14785-2_11

DO - 10.1007/978-3-031-14785-2_11

M3 - Conference contribution

AN - SCOPUS:85137065902

SN - 9783031147845

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 163

EP - 176

BT - Human-Centered Software Engineering - 9th IFIP WG 13.2 International Working Conference, HCSE 2022, Proceedings

A2 - Bernhaupt, Regina

A2 - Ardito, Carmelo

A2 - Sauer, Stefan

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 24 August 2022 through 26 August 2022

ER -