This release includes minor bug fixes, new support for iCal calendar time streams, and simultaneous values. Sensors supporting simultaneous values will report them automatically. To manually enter simultaneous values, use a semicolon (”;”) as the delimiter between values. (e.g. Visitors: Tom; Sally; Bill)

Prerequisites

MacOS X 10.5 “Leopard”

Source

There is not a source distribution available yet, but if you’d like the source code, it is available via Subversion at

The source requires Xcode 3 to build.

Bugs, suggestions, or comments?

Please post any feedback in the comments below or send it to pennyworth@aetherial.net. This is early release software, so there will be bugs, and the application will only improve when problems are identified and submitted.

This update fixes a variety of bugs and adds support for a new idle time sensor. This release addresses application hangs caused by badly behaving AppleScripts and supports individual Growl notifications for individual context aspects (activity, location, social context).

Prerequisites

MacOS X 10.5 “Leopard”

Growl (Recommended): Pennyworth can be used without the Growl notification system by viewing the current predictions, but this occupies precious screen real estate and you attention. In order to receive visual notifications of updated predictions, I recommend that you install and configure the Growl notification system before running Pennyworth.

Source

There is not a source distribution available yet, but if you’d like the source code, it is available via Subversion at

The source requires Xcode 3 to build.

Bugs, suggestions, or comments?

Please post any feedback in the comments below or send it to pennyworth@aetherial.net. This is early release software, so there will be bugs, and the application will only improve when problems are identified and submitted.

This update fixes a variety of bugs and adds support for selectively enabling and disabling specific sensors:

Prerequisites

MacOS X 10.5 “Leopard”

Growl (Recommended): Pennyworth can be used without the Growl notification system by viewing the current predictions, but this occupies precious screen real estate and you attention. In order to receive visual notifications of updated predictions, I recommend that you install and configure the Growl notification system before running Pennyworth.

Source

There is not a source distribution available yet, but if you’d like the source code, it is available via Subversion at

The source requires Xcode 3 to build.

Bugs, suggestions, or comments?

Please post any feedback in the comments below or send it to pennyworth@aetherial.net. This is early release software, so there will be bugs, and the application will only improve when problems are identified and submitted.

This release includes minor bug fixes, a new detailed report, support for user-specified date ranges, and a hot key (Command-Control-P) for quickly updating manual streams.

Prerequisites

MacOS X 10.5 “Leopard”

Source

There is not a source distribution available yet, but if you’d like the source code, it is available via Subversion at

The source requires Xcode 3 to build.

Bugs, suggestions, or comments?

Please post any feedback in the comments below or send it to pennyworth@aetherial.net. This is early release software, so there will be bugs, and the application will only improve when problems are identified and submitted.

This update fixes a variety of bugs and adds support user-defined rules and a system-wide hot key (Command-Control-C) that allows you to more quickly make context predictions.
Prerequisites

MacOS X 10.5 “Leopard”

Growl (Recommended): Pennyworth can be used without the Growl notification system by viewing the current predictions, but this occupies precious screen real estate and you attention. In order to receive visual notifications of updated predictions, I recommend that you install and configure the Growl notification system before running Pennyworth.

Source

There is not a source distribution available yet, but if you’d like the source code, it is available via Subversion at

The source requires Xcode 3 to build.

Bugs, suggestions, or comments?

Please post any feedback in the comments below or send it to pennyworth@aetherial.net. This is early release software, so there will be bugs, and the application will only improve when problems are identified and submitted.

On the left is a list of rules. When new sensor readings are made available, the machine learners consult the rules database for any rules that match their given key (”Activity”, “Location”, or “Social Context”).

If a matching rule is located (rules are tried in the order displayed in the interface), the learner evaluates the “state of the world” against the rule. If the rule matches the state of the world, the rule’s prediction is returned and the learner does not attempt to generate a prediction using its learned model. If no matching rule is located, the learner uses its model to generate a context prediction. (This is the old default behavior.)

The rule editor is smart enough to look at your prior sensor readings and populate the left-most pulldown list with prior sensor names. The middle pull-down is populated with a variety of operators for matching. There are greater-than and less-than operators for numeric values, string matching (”‘Active Application’ is like ‘Xcode*’”) for categorical variables, and I included a “contains” operator for multi-valued sensors.

Using this interface, it is possible to construct an arbitrarily complex set of rules that is more expressive than the machine learner. I don’t expect users to stop using the machine learner in favor of these rules (creating a sufficiently descriptive model is quite tedious), but I do expect that the combination of the two will make Pennyworth much more user-friendly and accurate.

This will be out in Pennyworth 1.3, which I’ll make available later this week. The functionality is working marvelously, but I still need to deal with a few more UI bugs and tweaks before letting this loose in the wild.

This update fixes a variety of bugs and adds support for undoing the last context prediction by selecting “Undo Last Prediction Correction” from the menu in the status bar.

The undo feature is useful for correcting situations where only correct one prediction when two needed correction. (For example, I often correct the Activity context quickly while realizing that I should have corrected Social Context as well.)

Prerequisites

MacOS X 10.5 “Leopard”

Growl (Recommended): Pennyworth can be used without the Growl notification system by viewing the current predictions, but this occupies precious screen real estate and you attention. In order to receive visual notifications of updated predictions, I recommend that you install and configure the Growl notification system before running Pennyworth.

Source

There is not a source distribution available yet, but if you’d like the source code, it is available via Subversion at

The source requires Xcode 3 to build.

Bugs, suggestions, or comments?

Please post any feedback in the comments below or send it to pennyworth@aetherial.net. This is early release software, so there will be bugs, and the application will only improve when problems are identified and submitted.

The Pennyworth Punch Clock (PPC) is a time tracking utility for monitoring the predictions produced by Pennyworth (activity, location, social context) along with other relevant events (active applications, current websites). PPC uses a combination of automatic and manual logging to create useful reports about how you spend your time.

The software is available on the Pennyworth website. I don’t have many instructions for getting started posted, but I will be working on those this weekend. However, if you have any questions or comments, please let me know via e-mail or in the comments below. This is an early release of an application that has a lot of potential, so I appreciate all the feedback that I receive.

This update fixes a variety of bugs and adds support for disabling some sensors from within the application preferences.

Prerequisites

MacOS X 10.5 “Leopard”

Growl (Recommended): Pennyworth can be used without the Growl notification system by viewing the current predictions, but this occupies precious screen real estate and you attention. In order to receive visual notifications of updated predictions, I recommend that you install and configure the Growl notification system before running Pennyworth.

Source

There is not a source distribution available yet, but if you’d like the source code, it is available via Subversion at

The source requires Xcode 3 to build.

Bugs, suggestions, or comments?

Please post any feedback in the comments below or send it to pennyworth@aetherial.net. This is early release software, so there will be bugs, and the application will only improve when problems are identified and submitted.

I’ve gone ahead and added the following to my PPC to-do list:

1. Application Stream: This will be an optional time stream (enable in the preferences) that can be turned on to track which applications are active at any given slice of time.

2. URL Stream: This will be an optional time stream that tracks the current URL of the Safari and Firefox web browsers. I’ll probably break this into two time streams, one for each browser.

3. Rename the “Statistics” tab to “Reports”: I plan on implementing this as an en export option that spits out your time streams as an XML file. Scripts and other programs can be run on this file to generate specific reports of how time has been spent. I’ll include some options for dropping such scripts in the application support folder for running the reports straight from the interface.

4. AppleScript support: Initially this will be implemented as two main classes of commands: reading and writing. Reading will allow calling scripts to get a full lists of slices in a given time slice (”tell app ‘PPC’ to return every slice of the timestream named ‘Foo’). I’m also planning on implementing a feature where calling AppleScripts can log slices to streams (”tell app ‘PPC’ to log ‘Eating’ to timestream named ‘Foo’).

Fortunately (with the exception of the reporting functionality), I’ve already written most of this code for other projects. I’m going to keep plugging away and see if I can have an early beta version released sometime next week.