Maintaining an illusion of awareness

Users would engage with the system more if they realize that it is aware of their presence. We need certain strategies for the assistant to maintain an illusion of awareness. Harry Gottlieb wrote “The Jack Principles of the Interactive Conversation Interface” in 2002. In this paper, Gottlieb outlines tips for creating the illusion of awareness in a conversational system; specifically, he suggests responding with human intelligence and emotion to the following:

  • The user’s actions
  • The user’s inactions
  • The user’s past actions
  • A series of the user’s actions
  • The actual time and space that the user is in (time is obvious, place can refer to geographical space, which app the user is in or a place in the house like kitchen, living room, etc.)
  • The comparison of different users’ situations and actions

Gottlieb also outlined tips for maintaining the illusion of awareness:

  • Use dialog that conveys a sense of intimacy
  • Ensure that characters act appropriately while the user is interacting
  • Ensure that dialog never seems to repeat
  • Be aware of the number of simultaneous users
  • Be aware of the gender of the users
  • Ensure that the performance of the dialog is seamless
  • Avoid the presence of characters when user input cannot be evaluated

There are a few other ways of maintaining this illusion of awareness when modern VUIs. It is imperative to keep in mind the of the user when designing any conversational interaction.

The user’s physical location

If the assistant knows where the user is and responds accordingly, it will seem more aware. the user’s location has multiple advantages. It helps the assistant answer to queries while respecting context. For example, when a user asks for “party places,” the assistant can suggest clubs near the user rather than doing a random search of irrelevant places around the world.

Type of users

It is a good strategy for the system to be aware if the user is interacting with it for the first time or uses it on a regular basis. For example a life logging app might require users to log their mood everyday. This is how the app could prompt different users:

Beginner
Assistant: “How are you feeling today? Make sure you take a minute to think about your day and select one or more options that correspond with your mood.”

Advanced
Assistant: “Hey there! How’s it going?”

It is important to count the frequency of usage rather than the number of times the assistant has been used to determine proficiency of the user. The user might have used the assistant only once every month, but the overall numbers might be great.
It is also important for the system to adapt to the user’s behavior rather than simply nudging to use the assistant. For example, the system can know when the user uses the assistant and prompt only during those times.

Priming
In psychology, priming is a technique whereby exposure to one stimulus influences a response to a subsequent stimulus, without conscious guidance or intention. For example, you are more likely to answer ‘Mongolia’ when asked to name a place that starts with the letter ‘M’ if you’ve just seen a documentary about Mongolia.
Letting the user know what to expect is also a form of priming. It informs users on how to prepare themselves. Priming however can be subtle, if the VUI responds to the query “Can you play me ‘Fix you’?” as “Playing ‘Fix you’ by ‘Coldplay.’” Next time the user can simply say “Play ‘Fix you’ by ‘Coldplay’”

Type of device

interfaces have gone beyond IVR to smartphones, smart speakers, in cars, on the wrist watch and soon will be an integral part of our lives. When designing for , we are designing for two different things: an input mechanism through and an output mechanism which is not necessarily through . Although the input is , the output would depend on the context in which the solution is being used.

The assistant can present much more information about the movie apart from the name by knowing the modality of interaction.

If you ask the an assistant on your phone to tell you “the top ten movies of 2017”, there would be a cognitive load on the user if it reads out everything. It would be much better to just show the list of movies.

Doing this has advantages beyond reducing cognitive load: the assistant can present much more information about the movie apart from the name like the actors, directors, awards received, etc. which would otherwise be difficult to capture with voice alone. It is important to remember that there exist interfaces beyond a speaker and a microphone.



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