arXiv subjects

Ravi Kalluri

Publications and source records attributed to Ravi Kalluri.

3 recordsLinked to original sources

arXiv2026

Agent-Based Simulation of Trust Development in Human-Robot Teams: An Empirically-Validated Framework

This paper presents an empirically grounded agent-based model capturing trust dynamics, workload distribution, and collaborative performance in human-robot teams. The model, implemented in NetLogo 6.4.0, simulates teams of 2--10 agents performing tasks of varying complexity. We validate against Hancock et al.'s (2021) meta-analysis, achieving interval validity for 4 of 8 trust antecedent categories and strong ordinal validity (Spearman \r{ho}=0.833ρ= 0.833 \r{ho}=0.833). Sensitivity analysis using OFAT and full factorial designs (n=50n = 50 n=50 replications per condition) reveals robot reliability exhibits the strongest effect on trust (η2=0.35η^2 = 0.35 η2=0.35) and dominates task success (η2=0.93η^2 = 0.93 η2=0.93) and productivity (η2=0.89η^2 = 0.89 η2=0.89), consistent with meta-analytic findings. Trust asymmetry ratios ranged from 0.07 to 0.55 -- below the meta-analytic benchmark of 1.50 -- revealing that per-event asymmetry does not guarantee cumulative asymmetry when trust repair mechanisms remain active. Scenario analysis uncovered trust-performance decoupling: the Trust Recovery scenario achieved the highest productivity (4.29) despite the lowest trust (38.2), while the Unreliable Robot scenario produced the highest trust (73.2) despite the lowest task success (33.4\%), establishing calibration error as a critical diagnostic distinct from trust magnitude. Factorial ANOVA confirmed significant main effects for reliability, transparency, communication, and collaboration (p<.001p < .001 p<.001), explaining 45.4\% of trust variance. The open-source implementation provides an evidence-based tool for identifying overtrust and undertrust conditions prior to deployment.

cs.RO↗

arXiv2025

Why Does the Engineering Manager Still Exist in Agile Software Development?

Although Agile methodologies emphasize decentralized decision-making and team autonomy, engineering managers continue to be employed in Agile software organizations. This apparent paradox suggests that traditional managerial functions persist despite the theoretical displacement of managerial hierarchy in Agile. This paper explores the persistence of engineering managers through a multidimensional framework encompassing historical context, theoretical tensions, organizational realities, empirical evidence, evolving managerial roles, and practical implications. A systematic literature review underpins our multifaceted analysis, supplemented by illustrative case studies. We conclude by proposing a conceptual model that reconciles Agile principles with managerial necessity, offering guidance for practitioners, researchers, and tool designers. Implications for leadership development, tool integration, and future research are discussed.

cs.SE↗

arXiv2022

Effect of sociability and curiosity of senior developers in building agile scrum team competency

This paper aims to investigate the mechanisms that contribute to propagation of competence in an Agile Scrum team. This study seeks to challenge the traditional view of bounded rationality (BR). An Agile Scrum team (Team) is expected to build problem solving competence quickly as the expected ramp up time continues to shrink. But the team has a mixture of expertise, competence and sociability levels that affect out-of-the-box performance. The objective is to expand BR into the social realm and see how teams can self-organize and reconfigure to allow effective problem solving. Studies have shown that agent-based computational simulation is an appropriate technique to explore this point from a theoretical perspective. (Fioretti, 2013) (Secchi, 2015). The first step is to define the problem, discuss how senior team members exhibit high curiosity and apply sociability and cognitive resources to develop overall team competence. This dynamic is modeled and simulated in NetLogoR and the results are analyzed. Finally, some key findings are presented and discussed.

cs.SI↗