Personality-based pair programming: toward intrinsic motivation alignment in very small entities
This study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on designing a framework and process extension for the resource-constrained environment of very small entities (VSEs). We employed a mixed-methods desi...
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| Vydáno v: | PeerJ. Computer science Ročník 11; s. e2774 |
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| Abstract | This study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on designing a framework and process extension for the resource-constrained environment of very small entities (VSEs).
We employed a mixed-methods design across three quasi-experimental datasets (
= 73 participants), applying linear mixed-effects (LME) modeling to assess motivational outcomes and thematically analyzing (
= 25) interviews for socio-psychological insights.
Openness strongly correlates with Pilot roles; Extraversion & Agreeableness favor Navigator roles; and Neuroticism aligns more comfortably with Solo roles-each yielding substantial boosts in intrinsic motivation (up to 60-65%). Twelve qualitative themes underscore the influence of mentorship, pairing constellations, and flow disruptions on developer experiences.
Building on these results, we propose the role-optimization motivation alignment (ROMA) framework, mapped to the ISO/IEC 29110 Software Basic Profile and Agile Guidelines, with practical tasks (T1-T7) to facilitate systematic role-trait alignments in small agile teams. Although our data primarily involve Gen-Z undergraduates, the recurring patterns suggest broader applicability, further supported by a separately published application for ongoing generalizability.
Personality-driven role optimization may significantly enhance collaboration and developer satisfaction in VSEs, though further studies in professional settings and investigations into AI-assisted or distributed pair programming are warranted. |
|---|---|
| AbstractList | This study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on designing a framework and process extension for the resource-constrained environment of very small entities (VSEs). We employed a mixed-methods design across three quasi-experimental datasets (n = 73 participants), applying linear mixed-effects (LME) modeling to assess motivational outcomes and thematically analyzing (n = 25) interviews for socio-psychological insights. Openness strongly correlates with Pilot roles; Extraversion & Agreeableness favor Navigator roles; and Neuroticism aligns more comfortably with Solo roles-each yielding substantial boosts in intrinsic motivation (up to 60-65%). Twelve qualitative themes underscore the influence of mentorship, pairing constellations, and flow disruptions on developer experiences. Building on these results, we propose the role-optimization motivation alignment (ROMA) framework, mapped to the ISO/IEC 29110 Software Basic Profile and Agile Guidelines, with practical tasks (T1-T7) to facilitate systematic role-trait alignments in small agile teams. Although our data primarily involve Gen-Z undergraduates, the recurring patterns suggest broader applicability, further supported by a separately published application for ongoing generalizability. Personality-driven role optimization may significantly enhance collaboration and developer satisfaction in VSEs, though further studies in professional settings and investigations into AI-assisted or distributed pair programming are warranted. This study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on designing a framework and process extension for the resource-constrained environment of very small entities (VSEs). We employed a mixed-methods design across three quasi-experimental datasets ( = 73 participants), applying linear mixed-effects (LME) modeling to assess motivational outcomes and thematically analyzing ( = 25) interviews for socio-psychological insights. Openness strongly correlates with Pilot roles; Extraversion & Agreeableness favor Navigator roles; and Neuroticism aligns more comfortably with Solo roles-each yielding substantial boosts in intrinsic motivation (up to 60-65%). Twelve qualitative themes underscore the influence of mentorship, pairing constellations, and flow disruptions on developer experiences. Building on these results, we propose the role-optimization motivation alignment (ROMA) framework, mapped to the ISO/IEC 29110 Software Basic Profile and Agile Guidelines, with practical tasks (T1-T7) to facilitate systematic role-trait alignments in small agile teams. Although our data primarily involve Gen-Z undergraduates, the recurring patterns suggest broader applicability, further supported by a separately published application for ongoing generalizability. Personality-driven role optimization may significantly enhance collaboration and developer satisfaction in VSEs, though further studies in professional settings and investigations into AI-assisted or distributed pair programming are warranted. Aim This study explores whether personality‐based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on designing a framework and process extension for the resource‐constrained environment of very small entities (VSEs). Method We employed a mixed‐methods design across three quasi-experimental datasets (n = 73 participants), applying linear mixed‐effects (LME) modeling to assess motivational outcomes and thematically analyzing (n = 25) interviews for socio‐psychological insights. Findings Openness strongly correlates with Pilot roles; Extraversion & Agreeableness favor Navigator roles; and Neuroticism aligns more comfortably with Solo roles—each yielding substantial boosts in intrinsic motivation (up to 60–65%). Twelve qualitative themes underscore the influence of mentorship, pairing constellations, and flow disruptions on developer experiences. Implications Building on these results, we propose the role‐optimization motivation alignment (ROMA) framework, mapped to the ISO/IEC 29110 Software Basic Profile and Agile Guidelines, with practical tasks (T1–T7) to facilitate systematic role–trait alignments in small agile teams. Although our data primarily involve Gen‐Z undergraduates, the recurring patterns suggest broader applicability, further supported by a separately published application for ongoing generalizability. Conclusion Personality‐driven role optimization may significantly enhance collaboration and developer satisfaction in VSEs, though further studies in professional settings and investigations into AI‐assisted or distributed pair programming are warranted. This study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on designing a framework and process extension for the resource-constrained environment of very small entities (VSEs).AimThis study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on designing a framework and process extension for the resource-constrained environment of very small entities (VSEs).We employed a mixed-methods design across three quasi-experimental datasets (n = 73 participants), applying linear mixed-effects (LME) modeling to assess motivational outcomes and thematically analyzing (n = 25) interviews for socio-psychological insights.MethodWe employed a mixed-methods design across three quasi-experimental datasets (n = 73 participants), applying linear mixed-effects (LME) modeling to assess motivational outcomes and thematically analyzing (n = 25) interviews for socio-psychological insights.Openness strongly correlates with Pilot roles; Extraversion & Agreeableness favor Navigator roles; and Neuroticism aligns more comfortably with Solo roles-each yielding substantial boosts in intrinsic motivation (up to 60-65%). Twelve qualitative themes underscore the influence of mentorship, pairing constellations, and flow disruptions on developer experiences.FindingsOpenness strongly correlates with Pilot roles; Extraversion & Agreeableness favor Navigator roles; and Neuroticism aligns more comfortably with Solo roles-each yielding substantial boosts in intrinsic motivation (up to 60-65%). Twelve qualitative themes underscore the influence of mentorship, pairing constellations, and flow disruptions on developer experiences.Building on these results, we propose the role-optimization motivation alignment (ROMA) framework, mapped to the ISO/IEC 29110 Software Basic Profile and Agile Guidelines, with practical tasks (T1-T7) to facilitate systematic role-trait alignments in small agile teams. Although our data primarily involve Gen-Z undergraduates, the recurring patterns suggest broader applicability, further supported by a separately published application for ongoing generalizability.ImplicationsBuilding on these results, we propose the role-optimization motivation alignment (ROMA) framework, mapped to the ISO/IEC 29110 Software Basic Profile and Agile Guidelines, with practical tasks (T1-T7) to facilitate systematic role-trait alignments in small agile teams. Although our data primarily involve Gen-Z undergraduates, the recurring patterns suggest broader applicability, further supported by a separately published application for ongoing generalizability.Personality-driven role optimization may significantly enhance collaboration and developer satisfaction in VSEs, though further studies in professional settings and investigations into AI-assisted or distributed pair programming are warranted.ConclusionPersonality-driven role optimization may significantly enhance collaboration and developer satisfaction in VSEs, though further studies in professional settings and investigations into AI-assisted or distributed pair programming are warranted. |
| ArticleNumber | e2774 |
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| Author | Valovy, Marcel Buchalcevova, Alena |
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| Cites_doi | 10.1109/TSE.2009.41 10.4135/9781506335520 10.1080/19312450709336664 10.1007/s10664-008-9093-5 10.1007/s10664-018-9655-0 10.1016/j.mex.2023.102545 10.1111/bjet.13412 10.1177/1077800404273413 10.1109/TSE.2025.3538751 10.1016/j.infsof.2009.02.001 10.1016/j.ijhcs.2014.09.001 10.1177/0735633120949787 10.1016/j.jss.2023.111740 10.1007/s10664-017-9523-3 10.1037/0003-066X.55.1.68 10.1037/0021-9010.87.1.43 10.1016/j.jss.2015.04.084 10.1191/1478088706qp063oa 10.1109/MS.2017.4541041 10.1080/08839514.2024.2327890 10.1177/1609406919899220 10.1007/s10664-012-9238-4 10.1177/0049124113500475 10.1016/j.chb.2014.12.008 10.1177/1558689806298224 10.1037/0003-066X.61.6.622 10.1080/1359432X.2013.877892 10.1037/qup0000196 10.1002/per.629 10.4018/IJITSA 10.48550/arXiv.2002.03121 10.1177/1525822X05279903 10.1016/j.infsof.2010.01.001 10.1002/0471264385.wei1205 10.1111/j.2041-210x.2012.00261.x 10.1007/978-3-642-29044-2 10.1521/978.14625/28806 10.7717/peerj.289 10.1080/2159676X.2019.1628806 10.1002/per.760 10.1111/spc3.12016 10.1016/j.jrp.2006.02.001 10.1016/j.jrp.2014.07.004 10.1145/3469888 10.1080/19345747.2020.1799464 10.1037/rev0000082 10.3389/fnhum.2017.00145 10.1109/TSE.2007.17 10.1109/MC.1987.1663532 |
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| Keywords | Big Five Intrinsic motivation Agile software development ISO/IEC 29110 Inter-coder reliability Large language models (LLMs) Pair programming Linear mixed-effects Mixed-methods research Software engineering |
| Language | English |
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| Snippet | This study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on... Aim This study explores whether personality-based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on... Aim This study explores whether personality‐based role assignments (Pilot, Navigator, Solo) can raise intrinsic motivation in pair programming, focusing on... |
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| SubjectTerms | Agile software development Big Five Computer programming Human-Computer Interaction Intrinsic motivation Linear mixed-effects Mixed-methods research Social Computing Software Engineering Web applications |
| Title | Personality-based pair programming: toward intrinsic motivation alignment in very small entities |
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