Interruptions as Multimodal Outputs: Which are the Less Disruptive?
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
If not now, when?: the effects of interruption at different moments within task execution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Empathic agents to reduce user frustration: The effects of varying agent characteristics
Interacting with Computers
GI '07 Proceedings of Graphics Interface 2007
Effects of intelligent notification management on users and their tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing Persuasive Dialogue Systems: Using Argumentation with Care
PERSUASIVE '08 Proceedings of the 3rd international conference on Persuasive Technology
Human-Computer Interaction
Effects of (in)accurate empathy and situational valence on attitudes towards robots
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Technology-mediated interruption management
International Journal of Human-Computer Studies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Studying and tackling temporal challenges in mobile HCI
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Persuasion, task interruption and health regimen adherence
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Hi-index | 0.00 |
Being interrupted by notifications and reminders is common while working. In this study we consider whether system politeness reduces (negative) effects of being interrupted by system requests. We carried out a 2 (polite vs. neutral system request) x 2 (high vs. low mental load) between-participants experiment. We measured annoyance, frustration and mental effort. Our results suggest that social strategies can mitigate some of the negative effects, but that this depends on the difficulty of the task. We discuss the implications of these results for the design of interruptive system messages and for further research into social computing.