Article

Use of mobile appointment scheduling devices

Authors:

Thad E. Starner,

Cornelis M. Snoeck,

Benjamin A. Wong,

R. Martin McGuireAuthors Info & Claims

CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems

Pages 1501 - 1504

https://doi.org/10.1145/985921.986100

Published: 24 April 2004 Publication History

Get Access

Abstract

One hundred thirty-eight subjects participated in a study on mobile appointment scheduling. Subjects completed a questionnaire on their primary method of managing appointments when away from their desks. Immediately afterwards, subjects completed a session of scheduling four appointments with the interviewer. The most common scheduling systems, in order of popularity, were paper-based day planners, memory, scrap paper, and PDA's. However, 43% of the claimed PDA users and 68% of day planner users switched to another, more readily accessible method when scheduling an appointment. Interviews revealed a practice of using memory or scrap paper to "buffer" appointments for later entry into the PDA or planner.

References

[1]

W. Blackwood. Tactical Display for Soldiers. National Academy of Sciences, Washington, D.C., 1997.

Google Scholar

[2]

L. Karl, M. Pettey, and B. Shneiderman. Speech versus mouse commands for word processing applications: An empirical evaluation. Intl. J. Man-Machine Studies, 39(4):667--687, 1993.

Digital Library

Google Scholar

[3]

R. Miller. Response time in man computer conversations. In AFIPS Fall Joint Computer Conference Vol. 33 Part 1, pages 267--277, San Francisco, CA, 1968.

Digital Library

Google Scholar

[4]

D. Schacter. The Seven Sins of Memory. Houghton Mifflin, Boston, 2001.

Google Scholar

[5]

B. Shneiderman. The limits of speech recognition. Communications of the ACM, 43(9), September 2000.

Digital Library

Google Scholar

[6]

C. Wickens. Varieties of Attention, chapter Processing resources in attention. Academic Press, New York, 1984.

Google Scholar

Cited By

View all

Ahlrichs CIben HLawo M(2018)Context-Aware Mobile and Wearable Device InterfacesWearable Technologies10.4018/978-1-5225-5484-4.ch020(429-443)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5484-4.ch020
Oh UStearns LPradhan AFroehlich JFindlater LHurst AFindlater LMorris M(2017)Investigating Microinteractions for People with Visual Impairments and the Potential Role of On-Body InteractionProceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3132525.3132536(22-31)Online publication date: 19-Oct-2017
https://dl.acm.org/doi/10.1145/3132525.3132536
Ahlrichs CIben HLawo M(2015)Context-Aware Mobile and Wearable Device InterfacesRecent Advances in Ambient Intelligence and Context-Aware Computing10.4018/978-1-4666-7284-0.ch019(308-321)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-7284-0.ch019
Show More Cited By

Index Terms

Use of mobile appointment scheduling devices
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Use of mobile phones by male and female Greek students

Mobile technology is a continuously growing domain, and research activities regarding its use are quite intensive. A questionnaire regarding the use of mobile devices was developed and distributed to 416 students in a Greek University. There were completed ...
Management of security policies for mobile devices
InfoSecCD '07: Proceedings of the 4th annual conference on Information security curriculum development

This paper discusses management of security policies for mobile devices. The increasing use of mobile devices in the workplace is covered, as well as new software applications that allow employees to use their mobile devices to increase their ...
Scheduling of deteriorating jobs with release dates to minimize the maximum lateness

In this paper, we consider the problem of scheduling n deteriorating jobs with release dates on a single (batching) machine. Each job's processing time is a simple linear function of its starting time. The objective is to minimize the maximum lateness. ...

Comments

Information & Contributors

Information

Published In

CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems

April 2004

975 pages

ISBN:1581137036

DOI:10.1145/985921

Conference Chairs:
Elizabeth Dykstra-Erickson
Kinoma
,
Manfred Tscheligi
CURE, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 April 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

CHI04

Sponsor:

CHI04: CHI 2004 Conference on Human Factors in Computing Systems

April 24 - 29, 2004

Vienna, Austria

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

27
Total Citations
View Citations
693
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ahlrichs CIben HLawo M(2018)Context-Aware Mobile and Wearable Device InterfacesWearable Technologies10.4018/978-1-5225-5484-4.ch020(429-443)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5484-4.ch020
Oh UStearns LPradhan AFroehlich JFindlater LHurst AFindlater LMorris M(2017)Investigating Microinteractions for People with Visual Impairments and the Potential Role of On-Body InteractionProceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3132525.3132536(22-31)Online publication date: 19-Oct-2017
https://dl.acm.org/doi/10.1145/3132525.3132536
Ahlrichs CIben HLawo M(2015)Context-Aware Mobile and Wearable Device InterfacesRecent Advances in Ambient Intelligence and Context-Aware Computing10.4018/978-1-4666-7284-0.ch019(308-321)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-7284-0.ch019
Dittmar ADardar L(2015)Personal ecologies of calendar artifactsJournal of Interaction Science10.1186/s40166-015-0007-x3:1Online publication date: 28-Jul-2015
https://doi.org/10.1186/s40166-015-0007-x
McMillan DLoriette ABrown BBegole BKim JInkpen KWoo W(2015)Repurposing ConversationProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702532(3953-3962)Online publication date: 18-Apr-2015
https://dl.acm.org/doi/10.1145/2702123.2702532
Starner T(2013)Project GlassIEEE Pervasive Computing10.1109/MPRV.2013.3512:2(14-16)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.1109/MPRV.2013.35
Masli MGeyer WDugan CBrownholtz BSadagopan SRamamritham KKumar ARavindra MBertino EKumar R(2011)The design and usage of tentative events for time-based social coordination in the enterpriseProceedings of the 20th international conference on World wide web10.1145/1963405.1963512(765-774)Online publication date: 28-Mar-2011
https://dl.acm.org/doi/10.1145/1963405.1963512
Kohlsdorf DStarner TAshbrook D(2011)MAGIC 2.0: A web tool for false positive prediction and prevention for gesture recognition systemsFace and Gesture 201110.1109/FG.2011.5771412(1-6)Online publication date: Mar-2011
https://doi.org/10.1109/FG.2011.5771412
Hoch NWerther BBensler HMasuch NLützenberger MHeßler AAlbayrak SSiegwart R(2011)A User-Centric Approach for Efficient Daily Mobility Planning in E-Vehicle Infrastructure NetworksAdvanced Microsystems for Automotive Applications 201110.1007/978-3-642-21381-6_19(185-198)Online publication date: 2011
https://doi.org/10.1007/978-3-642-21381-6_19
Ashbrook DLyons KClawson JStarner T(2010)Methods of Evaluation for Wearable ComputingSmart Clothing10.1201/9781420088533-c9(229-248)Online publication date: 14-Apr-2010
https://doi.org/10.1201/9781420088533-c9
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Use of mobile phones by male and female Greek students

Management of security policies for mobile devices

Scheduling of deteriorating jobs with release dates to minimize the maximum lateness

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations