Abstract
The development of wireless sensor networks enables sensors to be embedded in everyday artifacts to create smart artifacts. Smart artifacts can deliver a variety of context-aware human-centric services. However, current systems mainly rely on ad-hoc definitions of context information, which makes it difficult to achieve knowledge sharing, reuse and reasoning. Moreover, smart-artifact applications developed by experts sometimes cannot meet end users' needs, but current systems do not allow end users to exert control over their smart homes. To avoid having to start from scratch when building new smart-artifact systems, and to empower experienced computer users to participate in the control of their smart environments, we developed a new knowledge infrastructure called Sixth-Sense. Unlike previous systems, Sixth-Sense builds on semantic web technologies. It defines a normalized ontology (called SS-ONT) using OWL. SS-ONT is focused on modeling general human-artifact interactions, and reflects several vital aspects of these interactions, such as artifact property and status description, and artifact-artifact and artifact-human relationships. Using this ontology model as a basis, we address some of the principles involved in performing context querying and context reasoning. An initial user study with 14 experienced computer users was conducted to determine the usability of our system. We also evaluate the runtime performance of our system and discuss some of the lessons learnt from the evaluation.
| Original language | English |
|---|---|
| Pages (from-to) | 469-502 |
| Number of pages | 34 |
| Journal | International Journal of Semantic Computing |
| Volume | 2 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2008 Dec 1 |
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Keywords
- context-aware computing
- Ontology
- semantic web
- smart home control
- smart object
ASJC Scopus subject areas
- Software
- Information Systems
- Linguistics and Language
- Computer Science Applications
- Computer Networks and Communications
- Artificial Intelligence
Cite this
Lowering the Barriers to Participation in the Development of Human-Artifact Interaction Systems. / Guo, B. I.N.; Satake, Satoru; Imai, Michita.
In: International Journal of Semantic Computing, Vol. 2, No. 4, 01.12.2008, p. 469-502.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Lowering the Barriers to Participation in the Development of Human-Artifact Interaction Systems
AU - Guo, B. I.N.
AU - Satake, Satoru
AU - Imai, Michita
PY - 2008/12/1
Y1 - 2008/12/1
N2 - The development of wireless sensor networks enables sensors to be embedded in everyday artifacts to create smart artifacts. Smart artifacts can deliver a variety of context-aware human-centric services. However, current systems mainly rely on ad-hoc definitions of context information, which makes it difficult to achieve knowledge sharing, reuse and reasoning. Moreover, smart-artifact applications developed by experts sometimes cannot meet end users' needs, but current systems do not allow end users to exert control over their smart homes. To avoid having to start from scratch when building new smart-artifact systems, and to empower experienced computer users to participate in the control of their smart environments, we developed a new knowledge infrastructure called Sixth-Sense. Unlike previous systems, Sixth-Sense builds on semantic web technologies. It defines a normalized ontology (called SS-ONT) using OWL. SS-ONT is focused on modeling general human-artifact interactions, and reflects several vital aspects of these interactions, such as artifact property and status description, and artifact-artifact and artifact-human relationships. Using this ontology model as a basis, we address some of the principles involved in performing context querying and context reasoning. An initial user study with 14 experienced computer users was conducted to determine the usability of our system. We also evaluate the runtime performance of our system and discuss some of the lessons learnt from the evaluation.
AB - The development of wireless sensor networks enables sensors to be embedded in everyday artifacts to create smart artifacts. Smart artifacts can deliver a variety of context-aware human-centric services. However, current systems mainly rely on ad-hoc definitions of context information, which makes it difficult to achieve knowledge sharing, reuse and reasoning. Moreover, smart-artifact applications developed by experts sometimes cannot meet end users' needs, but current systems do not allow end users to exert control over their smart homes. To avoid having to start from scratch when building new smart-artifact systems, and to empower experienced computer users to participate in the control of their smart environments, we developed a new knowledge infrastructure called Sixth-Sense. Unlike previous systems, Sixth-Sense builds on semantic web technologies. It defines a normalized ontology (called SS-ONT) using OWL. SS-ONT is focused on modeling general human-artifact interactions, and reflects several vital aspects of these interactions, such as artifact property and status description, and artifact-artifact and artifact-human relationships. Using this ontology model as a basis, we address some of the principles involved in performing context querying and context reasoning. An initial user study with 14 experienced computer users was conducted to determine the usability of our system. We also evaluate the runtime performance of our system and discuss some of the lessons learnt from the evaluation.
KW - context-aware computing
KW - Ontology
KW - semantic web
KW - smart home control
KW - smart object
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UR - http://www.scopus.com/inward/citedby.url?scp=77954004840&partnerID=8YFLogxK
U2 - 10.1142/S1793351X08000555
DO - 10.1142/S1793351X08000555
M3 - Article
AN - SCOPUS:77954004840
VL - 2
SP - 469
EP - 502
JO - International Journal of Semantic Computing
JF - International Journal of Semantic Computing
SN - 1793-351X
IS - 4
ER -