Assessing the perceived usability of an intelligent contact tracing app to prevent the spread of COVID-19 using SUS and TAM: be aware Bahrain.
Yousif Al-BastakiPublished in: J. Decis. Syst. (2024)
Keyphrases
- perceived usefulness
- user acceptance
- user satisfaction
- user experience
- factors affecting
- technology acceptance model
- factors that affect
- structural equation modeling
- attitudes toward
- technology acceptance
- mobile services
- technology adoption
- positive effects
- computer self efficacy
- mobile applications
- service quality
- cognitive style
- end users
- university students
- human computer interaction
- channel capacity
- eye tracking
- theoretical framework
- perceived risk
- learning environment
- academic institutions
- user perceived