Table 2.

Summary of a SWOT analysis of the use of SG in ADRD.

Strengths	Weaknesses
Interface adapted to the user	Interface challenges
Gaming factors to enhance motivation, positive mood and improve assessment	Non-naturalistic interactions
	Wires and displays
Independent practice and self-assessment	Immature engineering process
Safe testing and training environment	Expensive equipment
Promoting social bonding	Poor platform compatibility
Enhanced ecological validity	Software difficult to use
Control of stimulus delivery	Lack of generalization
Cuing stimuli for error-free learning	Addiction
Performance analysis in real time	Side effects
Real-time feedback delivery
Promoting learning processes
Low-cost, duplicable environments
Opportunities	Threats
Emerging advances in technology	Ethical challenges
Real time data analysis	Poor integration with the clinical practice
Gaming industry drivers	Lack of assessment methodology
Intuitive appeal to the public	Lack of feasibility and efficacy studies
New professions	Lack of regulation
Closeness between scientific, technical, and clinical communities	Lack of business model
	Too few cost/benefit proofs
SG as research instruments	Technological vs. clinical tool
Telerehabilitation	Aftereffects
Big market	The perception that the technological tools will eliminate the need for the clinician
	Unrealistic expectations
	Academic and professional acceptance
	Technophobia