Inferring calendar event attendance

Mynatt, Elizabeth D.; Tullio, Joe

doi:10.1145/359784.360310

Cited by 45 publications

(25 citation statements)

References 20 publications

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“…However, some works using different platform are noteworthy in relation to the topic this paper. Mynatt and Tullio (2001) created a program that is perhaps most similar to our project.…”

Section: Related Workmentioning

confidence: 99%

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Arrangement of Face-to-Face Meetings using Social Media

Michalco¹,

Návrat²

2012

SIC

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Social networks, especially Facebook as currently the largest one, made the organization of events apparently simpler. Facebook offers the event service, which has greatly simplified the invitation process. Still, organizing an event is usually coupled with the risk of guest's no-show. We report an investigation designed to identify factors that might help predict a person's likelihood of attendance to an event s/he is invited to. Our research tries to combine information research with information technology tool design. The factors affecting the probability were determined by an analysis of data acquired in surveys among hundred and fifty or so Facebook users. We also developed a program that implements (some of) these findings. Simple quantitative and qualitative analyses were carried out on the data, sufficient to identify some of the key factors influencing invitees in their decision to attend a meeting. The factors as identified by the surveys are indeed relevant to attendance of meetings arranged using social media. Our application can help the event creator estimate how many people would attend his event and predict the likelihood of each invitee's attendance. Moreover, the application can also help the invited guest learn which of his friends are likely to attend the same event. Research that combines information side with information technology side can be fruitful as shown by this simple result. There is room for future work in this interdisciplinary space. His research interests are in the areas of software engineering, artificial intelligence, and information systems. He has published numerous research articles and the books Programming in Lisp, Microcomputers, Programs, People, and the textbooks Functional and Logic Programming, and Artificial Intelligence. He co-edited and co-authored several monographs and was the editor of a special issue on Knowledge Based Software

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“…However, some works using different platform are noteworthy in relation to the topic this paper. Mynatt and Tullio (2001) created a program that is perhaps most similar to our project.…”

Section: Related Workmentioning

confidence: 99%

“…According to the authors "the priority of an event is influenced by a number of factors, including the alarm status, recurrence status, the type of the event, and the user's role in the event" (Mynatt and Tullio 2001). These factors were collected from informal interviews with potential users.…”

Section: Work Determining the Factors Affecting Attendancementioning

confidence: 99%

Arrangement of Face-to-Face Meetings using Social Media

Michalco¹,

Návrat²

2012

SIC

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“…Work by Palen [16] as well as work she performed with Grudin [7,17] examined electronic calendar use at two large companies, finding that workers often browsed their colleagues' calendars to infer where they might be and when they might return to their offices. Mynatt and Tullio observe that if two coworkers share some events on their calendars, one of them can wait until one of those shared events takes place to "ambush" the other for an informal chat [15]. When a calendar includes conflicting events or infrequently attended events, however, its value as a reliable predictor of a person's true schedule is weakened.…”

Section: Related Workmentioning

confidence: 99%

“…However, groupware tools that are used to facilitate and mediate informal communication are less useful when people become increasingly mobile or have more flexible schedules. In response, researchers have undertaken projects that make use of new advances in activity sensing and machine intelligence to arrive at inferences about current or future availability and/or location [4,8,11,12,15]. In most cases, they are intended to foster better informal communication in the workplace.…”

Section: Introductionmentioning

confidence: 99%

Use and Implications of a Shared, Forecasting Calendar

Tullio

Mynatt

2007

Lecture Notes in Computer Science

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Abstract. Changes in modern work environments, combined with advances in sensing and machine intelligence, have given rise to a new class of groupware applications that seeks to facilitate workplace communication through the prediction of future availability and/or location. We present the results of a four-month deployment of an experimental predictive calendar system in an academic setting. While participants appreciated several novel features of the system, most resisted adoption due to the uncertainty of its predictions, its effects on privacy and impression management, and accessibility issues. We present implications for designers who seek to incorporate forecasting components into their groupware tools using observations from the study.

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“…location awareness: Groupware calendars have been useful tools to locate and track colleagues. Ambush [24] looked at calendar data to infer location and availability. It used a Bayesian model to predict the likelihood that a user would actually attend an event entered in his calendar.…”

Section: Sensors and Classificationmentioning

confidence: 99%

WatchMe: Communication and Awareness Between Members of a Closely-Knit Group

Marmasse

Schmandt

Spectre

2004

UbiComp 2004: Ubiquitous Computing

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Abstract.WatchMe is a personal communicator with context awareness in a wristwatch form; it is meant to keep intimate friends and family always connected via awareness cues and text, voice instant message, or synchronous voice connectivity. Sensors worn with the watch track location (via GPS), acceleration, and speech activity; this is classified and conveyed to the other party, where it appears in iconic form on the watch face. When a remote person with whom this information is shared examines it, their face appears on the watch of the person being checked on. The working prototype was used as the focus of interviews to gauge the desirability of such a device.WatchMe is a watch-based personal communicator that draws upon features of both mobile telephony and context-aware ubiquitous computing and integrates them in a user interface that is novel to both these domains. WatchMe extracts information from sensors to provide awareness and availability information to one's closest friends. It supports multiple modes of verbal communication (text messaging, voice messaging, and synchronous voice communication) enabling the recipients of the awareness information to choose the best communication modality. Photographs serve as emotional references to our loved ones, appearing on the watch when one of them is thinking of us. MotivationEveryone has a small group of people with whom they are emotionally close, a set of people who are very important in their lives. These are typically family members and/or intimate friends; people from our "inner circle" whom we call insiders. Nothing can replace the richness of face-to-face communication with these people; however, with our ever mobile and hectic lives, that is not always possible. Our aim is to use mobile communication ubiquitous computing to enable these people to keep in contact with each other. We would like to increase and facilitate communication, in a variety of modalities, among these small sets of intimate people. It is our hypothesis that people would want communication with this very select group of dear people

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Inferring calendar event attendance

Cited by 45 publications

References 20 publications

Arrangement of Face-to-Face Meetings using Social Media

Arrangement of Face-to-Face Meetings using Social Media

Use and Implications of a Shared, Forecasting Calendar

WatchMe: Communication and Awareness Between Members of a Closely-Knit Group

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