Table 4.

Theoretical frameworks and approaches used in the included studies.

Study	Framework or approach	Main focus area	Aim or outcome
[30,60,64]	Human-centered design	Usability and user experience	Prioritize user needs in HCCa design
[31]	Experience fluctuation model	Dynamic user experience	Track evolving operator experiences with cobots
[32]	Not specified (theoretical reference present)	Communication interfaces and feedback	Study effects of feedback on operator stress and performance
[49]	Task performance assessment model	Cognitive workload in dual tasks	Evaluate mental workload under complex task conditions
[54]	User control adaptation strategy	User control and speed adaptation	Analyze how adjustable cobot speed influences user fatigue
[33]	Not specified (methodological focus)	Usability and task context	Explore system usability and task interface optimization
[43]	Task modeling	Task performance	Enhance task design for improved interaction
[44]	ISOb standard 10075-1 ergonomics	Mental workload and ergonomics	Apply ergonomic principles to cognitive workload in HCC
[73]	Transactional model of stress	Stress	Examine how HRIc influences stress responses
[61]	TAMd	User acceptance	Evaluate perceived usefulness and ease of use
[74]	Extended cognition	Cognitive workload	View cognition as distributed across the human-tool system
[75]	OECDe job quality and Karasek model	Job quality and stress	Assess psychosocial job conditions in HCC
[62]	Mutualistic human-machine framework	Adaptability and mutual benefit	Promote shared control and collaborative learning
[50]	PADf model	Emotional responses	Assess affective states during HRI
[40]	Grounded theory	Theory generation	Derive conceptual insights from empirical HCC data
[65]	Adaptive predictive HRI framework	Adaptation and prediction	Improve collaborative fluency
[66]	Cognitive load assessment framework	Mental demands	Evaluate and monitor cognitive load
[41]	Biobehavioral multimodal framework	Physiology, behavior, and context	Integrate real-time multimodal data in HCC
[48]	HCPSg	Digital-physical integration	Unify digital and physical interaction elements
[58,67]	Game-theoretic framework	Strategy and coordination	Model decision-making and joint action
[42]	RoboAssist framework	Shared control and task allocation	Facilitate adaptive human-robot cooperation

^aHCC: human-cobot collaboration.

^bISO: International Organization for Standardization.

^cHRI: human-robot interaction.

^dTAM: technology acceptance model.

^eOECD: Organisation for Economic Co-operation and Development.

^fPAD: pleasure-arousal-dominance.

^gHCPS: human-cyber-physical system.