.. Auto-generated by scripts/generate_problem_catalog_docs.py. Do not edit by hand.

Reduce Walking and Texting Accidents
====================================

A derivative one-line ideation brief from Goucher-Lambert and Cagan (2019), adapted from the longer campus pedestrian-safety brief used by Miller, Bailey, and Kirlik (2014).

See :doc:`../text` for the text family index.

Quick Facts
-----------

.. list-table::
   :header-rows: 1
   :widths: 20 80

   * - Field
     - Value
   * - Problem ID
     - ``ideation_walking_texting_accident_reduction``
   * - Problem Family
     - text
   * - Implementation
     - ``TextProblem``
   * - Capabilities
     - ``citation-backed``, ``prompt-packet``, ``statement-markdown``
   * - Study Suitability
     - ``human-subjects-ready``, ``ideation-friendly``
   * - Tags
     - ``text``, ``human-subjects``, ``ideation``, ``safety``, ``consumer``

Taxonomy
--------

Formulation
   textual_prompt
Is Dynamic
   no
Orientation
   safety-design
Objective Mode
   qualitative
Constraint Nature
   open
Tags
   ``text``, ``human-subjects``, ``ideation``, ``safety``, ``consumer``
Deliverable Type
   concepts
Timebox Hint (Minutes)
   20
Participants
   individual
Evaluation Mode
   idea_generation

Statement
---------

A way to minimize accidents from people walking and texting on a cell phone.

Prompt Profile
--------------

.. list-table::
   :header-rows: 1
   :widths: 25 75

   * - Field
     - Value
   * - Deliverable Type
     - concepts
   * - Timebox Hint (Minutes)
     - 20
   * - Participants
     - individual
   * - Evaluation Mode
     - idea_generation

Sources
-------

.. list-table::
   :header-rows: 1
   :widths: 20 80

   * - Key
     - Summary
   * - ``goucher_lambert_cagan_2019``
     - Goucher-Lambert and Cagan (2019). Crowdsourcing inspiration: Using crowd generated inspirational stimuli to support designer ideation. Design Studies, 61, 1-29.
   * - ``miller_bailey_kirlik_2014``
     - Miller, Bailey, and Kirlik (2014). Exploring the Utility of Bayesian Truth Serum for Assessing Design Knowledge. Human-Computer Interaction, 29(5-6), 487-515.

Raw Citation Records
--------------------

.. code-block:: bibtex

   @article{GOUCHERLAMBERT20191,
   title = {Crowdsourcing inspiration: Using crowd generated inspirational stimuli to support designer ideation},
   journal = {Design Studies},
   volume = {61},
   pages = {1-29},
   year = {2019},
   issn = {0142-694X},
   doi = {https://doi.org/10.1016/j.destud.2019.01.001},
   url = {https://www.sciencedirect.com/science/article/pii/S0142694X19300018},
   author = {Kosa Goucher-Lambert and Jonathan Cagan}
   }

.. code-block:: text

   Miller, Scarlett R., Brian P. Bailey, and Alex Kirlik (2014). Exploring the Utility of Bayesian Truth Serum for Assessing Design Knowledge. Human-Computer Interaction, 29(5-6), 487-515. DOI: 10.1080/07370024.2013.870393.