The Berkeley UNIX Consultant Project
Artificial Intelligence Review
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
Adaptive interfaces and agents
The human-computer interaction handbook
Drishti: An Integrated Indoor/Outdoor Blind Navigation System and Service
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Evaluation and context for in-car speech systems for older adults
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
Designing help topics for use with text-to-speech
SIGDOC '06 Proceedings of the 24th annual ACM international conference on Design of communication
Toward mobile entertainment: A paradigm for narrative-based audio only games
Science of Computer Programming
Extending traditional user assistance systems to support an auditory interface
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Proceedings of the 1st international convention on Rehabilitation engineering & assistive technology: in conjunction with 1st Tan Tock Seng Hospital Neurorehabilitation Meeting
Human-Computer Interaction
| Hi-index | 0.00 |
Two groups of 8 participants experimented two enhancements of standard online help for the general public during one hour: adaptive proactive (AP) assistance and multimodal user support. Proactive help, that is, anticipation of the user's information needs raised very positive judgments, while dynamic adaptation to the user's current knowledge and skills went almost unnoticed. Speech and graphics (SG) messages were also well accepted, based on the observation that one can go on interacting with the software application while listening to instructions. However, several participants observed that the transience and linearity of speech limited the usability of this modality. Analysis of interaction logs and post-tests shows that procedural and semantic knowledge acquisition was higher with SG help than with AP assistance. Contrastingly, AP help was consulted more often than SG user support. Results also suggest that proactive online help may reduce the effectiveness of autonomous "learning by doing" acquisition of unfamiliar software concepts and procedures.