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Multiple mice for retention tasks in disadvantaged schools
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Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
San Jose, California, USA
SESSION: Learning table of contents
Pages: 1581 - 1590  
Year of Publication: 2007
ISBN:978-1-59593-593-9
Authors
Udai Singh Pawar  Microsoft Research India, Bangalore, India
Joyojeet Pal  University of California at Berkeley, Berkeley, CA
Rahul Gupta  Microsoft Research India, Bangalore, India
Kentaro Toyama  Microsoft Research India, Bangalore, India
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 24,   Downloads (12 Months): 167,   Citation Count: 12
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ABSTRACT

This study evaluates single-mouse and multiple-mice configurations for computer-aided learning in schools where access to computers is limited due to resource constraints. Multimouse, a single display groupware solution, developed to allow multiple mice to be used simultaneously on a single PC, is compared with single-user-single-mouse and multiple-user-single-mouse scenarios. Multimouse itself is trialed with two unique interaction designs -- one where competitive interaction among students is encouraged, and another where more collaborative interaction is expected. Experiments were conducted with 238 schoolchildren from underprivileged households in rural India on an English vocabulary retention task. On the whole, Multimouse configurations (five users each) were found to be at par with single-user scenarios in terms of actual words learned by students. This suggests that the value of a PC can be inexpensively multiplied by employing a multi-input shared-use design. Gender effects were found, where boys show significant differences in learning depending on interaction modality, whereas girls learned at similar rates across configurations. In addition, a comparison of the two Multimouse modes -- collaborative and competitive -- showed the striking difference in learning outcomes and user behavior that is possible due to even slight variations in interaction designs for multiple-mice.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  12

Collaborative Colleagues:
Udai Singh Pawar: colleagues
Joyojeet Pal: colleagues
Rahul Gupta: colleagues
Kentaro Toyama: colleagues