Comparing end-user and intelligent remote control interface generation

Omojokun, Olufisayo; Pierce, Scott J.; Isbell, L.; Dewan, Prasun

doi:10.1007/s00779-005-0019-6

Cited by 13 publications

(7 citation statements)

References 10 publications

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“…A promising direction that we intend to explore is a usage-based aggregate interface, perhaps based on the ideas of Omojokun et al [10]. We are also interested in combining a usage-based aggregate with information about the user's context to provide the right function at the right time.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…Omojokun et al [10] have examined how remote control interfaces for a system of appliances might be generated from recordings of actual usage. Remote control usage was recorded by an IR receiver that was placed near the home theaters of several users, and the information gathered by the IR receiver was used to generate button-only interfaces.…”

Section: Related Workmentioning

confidence: 99%

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Huddle

Nichols

Rothrock

Chau

et al. 2006

Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology

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Systems of connected appliances, such as home theaters and presentation rooms, are becoming commonplace in our homes and workplaces. These systems are often difficult to use, in part because users must determine how to split the tasks they wish to perform into sub-tasks for each appliance and then find the particular functions of each appliance to complete their sub-tasks. This paper describes Huddle, a new system that automatically generates taskbased interfaces for a system of multiple appliances based on models of the content flow within the multi-appliance system.

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Section: Discussion and Future Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Huddle

Nichols

Rothrock

Chau

et al. 2006

Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology

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“…Omojokun et al [Omojokun 2005] have collected usage data for consumer electronics in real home settings and applied a machine learning approach to discover the core set of functionality that is used by a particular user and to cluster these functions into task groups. They compared their automatic results to their users' intuition and discovered that neither approach was sufficient for building a complete user interface.…”

Section: Related Workmentioning

confidence: 99%

Controlling Home and Office Appliances with Smart Phones

Nichols

Myers

2006

IEEE Pervasive Comput.

102

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Today most of the home and office appliances that we interact with contain microprocessors. All of these appliances have some user interface, but many users become frustrated with the difficulty of using the complex functions of their appliances. We are developing a framework that allows users to interact with appliances through a separate user interface device that they are already carrying. Smart phones are good candidates for providing interfaces because they are common, have communication capabilities to allow connection to appliances, and are already being used for a wide range of different applications. Our framework includes an abstract specification language for describing appliances, a two-way communication protocol, and automatic interface generation software that allows user interfaces to be customized to users and the devices they are using. This article overviews our personal universal controller system and describes in detail our design and implementation of automatic interface generation for Microsoft's Smartphone platform.

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“…The former choice is clearly impossible, or at least very costly, while the latter would be a waste of network connectivity resources. However, the user experience would be more appropriate if single UI device would suffice to operate all targets, despite platform and vendor differences in targets and UI devices themselves [2].…”

Section: Introductionmentioning

confidence: 99%

RESTful Declarative Framework for Extended Home Entertainment Networks

Kleimola

Vuorimaa

2008

2008 5th IEEE Consumer Communications and Networking Conference

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Multimedia devices, services, and content are already distributed inside the home network. Mobility, sharing and IP based delivery mechanisms introduce additional challenges to accessibility by extending the range of distribution into interconnected home and Internet scale scenarios. However, the user should be able to access any of these targets in a satisfying, easy, and uniform way despite the differences in target and interaction device technologies. This paper proposes and demonstrates how RESTful and declarative approach could be used in solving extended accessibility and usability problems. In the proposed solution, the network becomes the media center, as one of the networked devices operates as a hub between targets and UI devices, while the actual media is streamed in out of band P2P fashion.

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Comparing end-user and intelligent remote control interface generation

Cited by 13 publications

References 10 publications

Huddle

Huddle

Controlling Home and Office Appliances with Smart Phones

RESTful Declarative Framework for Extended Home Entertainment Networks

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