Abstract
A problem with the location-free nature of cell phones is that callers have difficulty predicting receivers' states, leading to inappropriate calls. One promising solution involves helping callers decide when to interrupt by providing them contextual information about receivers. We tested the effectiveness of different kinds of contextual information by measuring the degree of agreement between receivers' desires and callers' decisions. In a simulation, five groups of participants played the role of 'Callers', choosing between making calls or leaving messages, and a sixth group played the role of 'Receivers', choosing between receiving calls or receiving messages. Callers were provided different contextual information about Receivers' locations, their cell phones' ringer state, the presence of others, or no information at all. Callers provided with contextual information made significantly more accurate decisions than those without it. Our results suggest that different contextual information generates different kinds of improvements: more appropriate interruptions or better avoidance of inappropriate interruptions. We discuss the results and implications for practice in the light of other important considerations, such as privacy and technological simplicity.
Original language | English (US) |
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Pages (from-to) | 247-259 |
Number of pages | 13 |
Journal | Behaviour and Information Technology |
Volume | 26 |
Issue number | 3 |
DOIs | |
State | Published - May 2007 |
Funding
The authors would like to thank Susan Fussell, Robert Kraut and Yaakov Kareev for discussions and comments on the paper and analyses. This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. NBCHD030010, and by the National Science Foundation under grants IIS 0121560 and IIS 0325351.
Keywords
- Awareness systems
- Context-aware computing
- Interruptions
- Mobile communication
ASJC Scopus subject areas
- Developmental and Educational Psychology
- Arts and Humanities (miscellaneous)
- General Social Sciences
- Human-Computer Interaction