Human communications issues in advanced UIs
Communications of the ACM - Special issue on graphical user interfaces
Wizard of Oz studies: why and how
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Support concepts for Web navigation: a cognitive engineering approach
Proceedings of the 10th international conference on World Wide Web
The invisible future
IEEE Pervasive Computing
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
SUPPLE: automatically generating user interfaces
Proceedings of the 9th international conference on Intelligent user interfaces
Usability trade-offs for adaptive user interfaces: ease of use and learnability
Proceedings of the 9th international conference on Intelligent user interfaces
Human-agent service matching using natural language queries: system test and training
Personal and Ubiquitous Computing
Users want simple control over device selection
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Human-agent service matching using natural language queries: system test and training
Personal and Ubiquitous Computing
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
Gain-based selection of ambient media services in pervasive environments
Mobile Networks and Applications
EUC'07 Proceedings of the 2007 conference on Emerging direction in embedded and ubiquitous computing
Event calculus-based adaptive services composition policy for ami systems
AMT'12 Proceedings of the 8th international conference on Active Media Technology
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In large ubiquitous computing environments it is hard for users to identify and activate the electronic services that match their needs. This user study compares the newly developed service matcher system with a conventional system for identifying and selecting appropriate services. The study addresses human factors issues such as usability, trust and service awareness. With the conventional system users have to browse a hierarchical list of currently available services and activate the service that they think satisfies their current needs. With the service matcher users just enter their current need using natural language, after which a wizard, emulating an existing service matcher algorithm, searches for and activates a matching service based on the given need and the users’ location and gaze direction. This study shows that with the hierarchical list, only 66% of the tasks are solved correctly, and females score significantly worse than males. With the service matcher, the performance increases significantly to 84% correctly performed tasks and the gender difference disappears.