xml: <clinical_study>
    <!-- This xml conforms to an XML Schema at:
      https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
    <required_header>
      <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
      <link_text>Link to the current ClinicalTrials.gov record.</link_text>
      <url>https://clinicaltrials.gov/ct2/show/NCT05971238</url>
    </required_header>
    <id_info>
      <org_study_id>MPI-TSCN-2023-NATURALEYE</org_study_id>
      <secondary_id>2023-231-S-KH</secondary_id>
      <nct_id>NCT05971238</nct_id>
    </id_info>
    <brief_title>Eye Movement Behaviour and Pupil Size in Natural Outdoor and Indoor Scenes</brief_title>
    <official_title>Characterization of Eye Movement Behaviour and Pupil Size Through Eye-tracking in Natural Outdoor and Indoor Scenes</official_title>
    <sponsors>
      <lead_sponsor>
        <agency>Technical University of Munich</agency>
        <agency_class>Other</agency_class>
      </lead_sponsor>
      <collaborator>
        <agency>Max-Planck Institute for Biological Cybernetics</agency>
        <agency_class>Other</agency_class>
      </collaborator>
    </sponsors>
    <source>Technical University of Munich</source>
    <oversight_info>
      <has_dmc>No</has_dmc>
      <is_fda_regulated_drug>No</is_fda_regulated_drug>
      <is_fda_regulated_device>No</is_fda_regulated_device>
    </oversight_info>
    <brief_summary>
      <textblock>
        In this study, the researchers will be using eye tracking and detailed lighting measurements&#xD;
        to understand how different types of indoor and outdoor lighting affect the eye movements and&#xD;
        pupil sizes of our participants. Participants will be paired up and undergo six eye tracking&#xD;
        sessions, split across two appointments. Each appointment will involve viewing either indoor&#xD;
        or outdoor scenes, and before each session, participants will spend time adapting to the&#xD;
        lighting conditions. Overall, each participant will spend 24 minutes being tracked, and the&#xD;
        entire study will take about 2-3 hours to complete. The investigators expect differences in&#xD;
        eye movements and pupil size between indoor and outdoor scenes.&#xD;
      </textblock>
    </brief_summary>
    <overall_status>Recruiting</overall_status>
    <start_date type="Actual">July 1, 2023</start_date>
    <completion_date type="Anticipated">July 31, 2024</completion_date>
    <primary_completion_date type="Anticipated">August 31, 2023</primary_completion_date>
    <phase>N/A</phase>
    <study_type>Interventional</study_type>
    <has_expanded_access>No</has_expanded_access>
    <study_design_info>
      <allocation>N/A</allocation>
      <intervention_model>Single Group Assignment</intervention_model>
      <intervention_model_description>All participants will be exposed to the same environmental conditions (same indoor and outdoor scenes for the same duration) and the captured eye-movement data of every participant will be of the same type. Participants will be exposed to different orders of scene sequences.</intervention_model_description>
      <primary_purpose>Basic Science</primary_purpose>
      <masking>None (Open Label)</masking>
    </study_design_info>
    <primary_outcome>
      <measure>Saccade frequency - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per second [n/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade frequency - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per second [n/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade frequency - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per second [n/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade frequency - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per second [n/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade frequency - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per second [n/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade frequency - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per second [n/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade amplitude - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean angular distance traveled [°]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade amplitude - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean angular distance traveled [°]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade amplitude - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean angular distance traveled [°]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade amplitude - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean angular distance traveled [°]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade amplitude - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean angular distance traveled [°]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade amplitude - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean angular distance traveled [°]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade velocity - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean peak velocity [°/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade velocity - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean peak velocity [°/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade velocity - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean peak velocity [°/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade velocity - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean peak velocity [°/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade velocity - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean peak velocity [°/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Saccade velocity - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean peak velocity [°/s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation duration - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean fixation duration [s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation duration - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean fixation duration [s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation duration - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean fixation duration [s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation duration - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean fixation duration [s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation duration - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean fixation duration [s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation duration - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean fixation duration [s]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation frequency - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per minute [n/min]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation frequency - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per minute [n/min]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation frequency - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per minute [n/min]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation frequency - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per minute [n/min]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation frequency - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per minute [n/min]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Fixation frequency - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Number per minute [n/min]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Pupil size - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean pupil size [mm]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Pupil size - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean pupil size [mm]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Pupil size - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean pupil size [mm]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Pupil size - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean pupil size [mm]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Pupil size - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean pupil size [mm]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Pupil size - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Mean pupil size [mm]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Melanopic irradiance - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Irradiance [W/(sqm*nm)]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Melanopic irradiance - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Irradiance [W/(sqm*nm)]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Melanopic irradiance - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Irradiance [W/(sqm*nm)]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Melanopic irradiance - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Irradiance [W/(sqm*nm)]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Melanopic irradiance - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Irradiance [W/(sqm*nm)]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Melanopic irradiance - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Irradiance [W/(sqm*nm)]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Photopic illuminance - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Illuminance [lux]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Photopic illuminance - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Illuminance [lux]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Photopic illuminance - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Illuminance [lux]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Photopic illuminance - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Illuminance [lux]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Photopic illuminance - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Illuminance [lux]</description>
    </primary_outcome>
    <primary_outcome>
      <measure>Photopic illuminance - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Illuminance [lux]</description>
    </primary_outcome>
    <secondary_outcome>
      <measure>Subjective scene ratings - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):&#xD;
  1. &quot;How beautiful is this scene to you?&quot; 2. &quot;1 = not beautiful at all; 10 = extremely beautiful&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the brightness of this scene?&quot; 2. &quot;1 = dimly lit room; 10 = bright sunny day&quot; 3. No better or worse outcome&#xD;
  1. &quot;How visually comfortable did you find this scene?&quot; 2. &quot;1 = No discomfort; 10 = Very uncomfortable&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?&quot; 2. &quot;1 = very simple; 10 = Very complex&quot; 3. No better or worse outcome&#xD;
  1. &quot;How sleepy do you currently feel&quot; 2. &quot;1 = Extremely alert; 10 = Extremely sleep, can't keep awake&quot; 3. Lower score is better</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Subjective scene ratings - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):&#xD;
  1. &quot;How beautiful is this scene to you?&quot; 2. &quot;1 = not beautiful at all; 10 = extremely beautiful&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the brightness of this scene?&quot; 2. &quot;1 = dimly lit room; 10 = bright sunny day&quot; 3. No better or worse outcome&#xD;
  1. &quot;How visually comfortable did you find this scene?&quot; 2. &quot;1 = No discomfort; 10 = Very uncomfortable&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?&quot; 2. &quot;1 = very simple; 10 = Very complex&quot; 3. No better or worse outcome&#xD;
  1. &quot;How sleepy do you currently feel&quot; 2. &quot;1 = Extremely alert; 10 = Extremely sleep, can't keep awake&quot; 3. Lower score is better</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Subjective scene ratings - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):&#xD;
  1. &quot;How beautiful is this scene to you?&quot; 2. &quot;1 = not beautiful at all; 10 = extremely beautiful&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the brightness of this scene?&quot; 2. &quot;1 = dimly lit room; 10 = bright sunny day&quot; 3. No better or worse outcome&#xD;
  1. &quot;How visually comfortable did you find this scene?&quot; 2. &quot;1 = No discomfort; 10 = Very uncomfortable&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?&quot; 2. &quot;1 = very simple; 10 = Very complex&quot; 3. No better or worse outcome&#xD;
  1. &quot;How sleepy do you currently feel&quot; 2. &quot;1 = Extremely alert; 10 = Extremely sleep, can't keep awake&quot; 3. Lower score is better</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Subjective scene ratings - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):&#xD;
  1. &quot;How beautiful is this scene to you?&quot; 2. &quot;1 = not beautiful at all; 10 = extremely beautiful&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the brightness of this scene?&quot; 2. &quot;1 = dimly lit room; 10 = bright sunny day&quot; 3. No better or worse outcome&#xD;
  1. &quot;How visually comfortable did you find this scene?&quot; 2. &quot;1 = No discomfort; 10 = Very uncomfortable&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?&quot; 2. &quot;1 = very simple; 10 = Very complex&quot; 3. No better or worse outcome&#xD;
  1. &quot;How sleepy do you currently feel&quot; 2. &quot;1 = Extremely alert; 10 = Extremely sleep, can't keep awake&quot; 3. Lower score is better</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Subjective scene ratings - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):&#xD;
  1. &quot;How beautiful is this scene to you?&quot; 2. &quot;1 = not beautiful at all; 10 = extremely beautiful&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the brightness of this scene?&quot; 2. &quot;1 = dimly lit room; 10 = bright sunny day&quot; 3. No better or worse outcome&#xD;
  1. &quot;How visually comfortable did you find this scene?&quot; 2. &quot;1 = No discomfort; 10 = Very uncomfortable&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?&quot; 2. &quot;1 = very simple; 10 = Very complex&quot; 3. No better or worse outcome&#xD;
  1. &quot;How sleepy do you currently feel&quot; 2. &quot;1 = Extremely alert; 10 = Extremely sleep, can't keep awake&quot; 3. Lower score is better</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Subjective scene ratings - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):&#xD;
  1. &quot;How beautiful is this scene to you?&quot; 2. &quot;1 = not beautiful at all; 10 = extremely beautiful&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the brightness of this scene?&quot; 2. &quot;1 = dimly lit room; 10 = bright sunny day&quot; 3. No better or worse outcome&#xD;
  1. &quot;How visually comfortable did you find this scene?&quot; 2. &quot;1 = No discomfort; 10 = Very uncomfortable&quot; 3. No better or worse outcome&#xD;
  1. &quot;How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?&quot; 2. &quot;1 = very simple; 10 = Very complex&quot; 3. No better or worse outcome&#xD;
  1. &quot;How sleepy do you currently feel&quot; 2. &quot;1 = Extremely alert; 10 = Extremely sleep, can't keep awake&quot; 3. Lower score is better</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Geographical scene location - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Longitude and latitude [°]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Geographical scene location - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Longitude and latitude [°]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Geographical scene location - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Longitude and latitude [°]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Geographical scene location - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Longitude and latitude [°]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Geographical scene location - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Longitude and latitude [°]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Geographical scene location - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Longitude and latitude [°]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Ambient temperature - Indoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Temperature [°C]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Ambient temperature - Indoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Temperature [°C]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Ambient temperature - Indoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Temperature [°C]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Ambient temperature - Outdoor scene 1</measure>
      <time_frame>Baseline</time_frame>
      <description>Temperature [°C]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Ambient temperature - Outdoor scene 2</measure>
      <time_frame>Baseline</time_frame>
      <description>Temperature [°C]</description>
    </secondary_outcome>
    <secondary_outcome>
      <measure>Ambient temperature - Outdoor scene 3</measure>
      <time_frame>Baseline</time_frame>
      <description>Temperature [°C]</description>
    </secondary_outcome>
    <number_of_arms>1</number_of_arms>
    <enrollment type="Anticipated">24</enrollment>
    <condition>Light Sensitivity</condition>
    <arm_group>
      <arm_group_label>Eye-tracking, pupillometry and scene rating indoors &amp; outdoors</arm_group_label>
      <arm_group_type>Experimental</arm_group_type>
    </arm_group>
    <intervention>
      <intervention_type>Other</intervention_type>
      <intervention_name>Indoor vs. outdoor scenes</intervention_name>
      <description>Light conditions in indoor (artificial light) and outdoor (daylight) settings</description>
      <arm_group_label>Eye-tracking, pupillometry and scene rating indoors &amp; outdoors</arm_group_label>
    </intervention>
    <eligibility>
      <criteria>
        <textblock>
          Inclusion Criteria:&#xD;
  &#xD;
            -  No previous eye-surgeries or ocular impairments like anisometropia, amblyopia,&#xD;
               strabism, cataract, watery eyes or hanging eye lids&#xD;
  &#xD;
            -  Normal or corrected-to-normal visual acuity (+3dpt. to -5dpt.)&#xD;
  &#xD;
            -  Normal colour vision&#xD;
  &#xD;
            -  Normal binocular vision&#xD;
  &#xD;
          Exclusion Criteria:&#xD;
  &#xD;
            -  Any use of medications or drugs that influence photosensitivity or the ability to&#xD;
               concentrate&#xD;
  &#xD;
            -  Excessive alcohol and/or drug use&#xD;
  &#xD;
            -  Presence of psychiatric disorders&#xD;
  &#xD;
            -  Poor sleep quality&#xD;
  &#xD;
            -  Diagnosed with epilepsy&#xD;
        </textblock>
      </criteria>
      <gender>All</gender>
      <minimum_age>18 Years</minimum_age>
      <maximum_age>40 Years</maximum_age>
      <healthy_volunteers>Accepts Healthy Volunteers</healthy_volunteers>
    </eligibility>
    <overall_official>
      <last_name>Manuel Spitschan, PhD</last_name>
      <role>Principal Investigator</role>
      <affiliation>Technical University of Munich &amp; Max Planck Institute for Biological Cybernetics</affiliation>
    </overall_official>
    <overall_contact>
      <last_name>Alexander Hahn</last_name>
      <phone>+49(0)70716011670</phone>
      <email>alexander.hahn@tuebingen.mpg.de</email>
    </overall_contact>
    <overall_contact_backup>
      <last_name>Manuel Spitschan, PhD</last_name>
      <email>manuel.spitschan@tuebingen.mpg.de</email>
    </overall_contact_backup>
    <location>
      <facility>
        <name>Max Planck Institute for Biological Cybernetics</name>
        <address>
          <city>Tübingen</city>
          <zip>72076</zip>
          <country>Germany</country>
        </address>
      </facility>
      <status>Recruiting</status>
      <contact>
        <last_name>Alexander Hahn</last_name>
      </contact>
    </location>
    <location_countries>
      <country>Germany</country>
    </location_countries>
    <verification_date>July 2023</verification_date>
    <study_first_submitted>June 5, 2023</study_first_submitted>
    <study_first_submitted_qc>July 24, 2023</study_first_submitted_qc>
    <study_first_posted type="Actual">August 2, 2023</study_first_posted>
    <last_update_submitted>July 24, 2023</last_update_submitted>
    <last_update_submitted_qc>July 24, 2023</last_update_submitted_qc>
    <last_update_posted type="Actual">August 2, 2023</last_update_posted>
    <responsible_party>
      <responsible_party_type>Principal Investigator</responsible_party_type>
      <investigator_affiliation>Technical University of Munich</investigator_affiliation>
      <investigator_full_name>Manuel Spitschan</investigator_full_name>
      <investigator_title>Assistant Professor of Chronobiology &amp; Health</investigator_title>
    </responsible_party>
    <condition_browse>
      <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
      <mesh_term>Photophobia</mesh_term>
    </condition_browse>
    <patient_data>
      <sharing_ipd>Yes</sharing_ipd>
    </patient_data>
    <!-- Results have not yet been posted for this study                                          -->
  </clinical_study>
  
  
text: download date: ClinicalTrials.gov processed this data on September 20, 2023
  link text: Link to the current ClinicalTrials.gov record.
  url: https://clinicaltrials.gov/ct2/show/NCT05971238
  org study id: MPI-TSCN-2023-NATURALEYE
  secondary id: 2023-231-S-KH
  nct id: NCT05971238
  lead sponsor: 
  collaborator: 
  has dmc: No
  is fda regulated drug: No
  is fda regulated device: No
  In this study, the researchers will be using eye tracking and detailed lighting measurements
        to understand how different types of indoor and outdoor lighting affect the eye movements and
        pupil sizes of our participants. Participants will be paired up and undergo six eye tracking
        sessions, split across two appointments. Each appointment will involve viewing either indoor
        or outdoor scenes, and before each session, participants will spend time adapting to the
        lighting conditions. Overall, each participant will spend 24 minutes being tracked, and the
        entire study will take about 2-3 hours to complete. The investigators expect differences in
        eye movements and pupil size between indoor and outdoor scenes.
  allocation: N/A
  intervention model: Single Group Assignment
  intervention model description: All participants will be exposed to the same environmental conditions (same indoor and outdoor scenes for the same duration) and the captured eye-movement data of every participant will be of the same type. Participants will be exposed to different orders of scene sequences.
  primary purpose: Basic Science
  masking: None (Open Label)
  measure: Saccade frequency - Indoor scene 1
  time frame: Baseline
  description: Number per second [n/s]
  measure: Saccade frequency - Indoor scene 2
  time frame: Baseline
  description: Number per second [n/s]
  measure: Saccade frequency - Indoor scene 3
  time frame: Baseline
  description: Number per second [n/s]
  measure: Saccade frequency - Outdoor scene 1
  time frame: Baseline
  description: Number per second [n/s]
  measure: Saccade frequency - Outdoor scene 2
  time frame: Baseline
  description: Number per second [n/s]
  measure: Saccade frequency - Outdoor scene 3
  time frame: Baseline
  description: Number per second [n/s]
  measure: Saccade amplitude - Indoor scene 1
  time frame: Baseline
  description: Mean angular distance traveled [°]
  measure: Saccade amplitude - Indoor scene 2
  time frame: Baseline
  description: Mean angular distance traveled [°]
  measure: Saccade amplitude - Indoor scene 3
  time frame: Baseline
  description: Mean angular distance traveled [°]
  measure: Saccade amplitude - Outdoor scene 1
  time frame: Baseline
  description: Mean angular distance traveled [°]
  measure: Saccade amplitude - Outdoor scene 2
  time frame: Baseline
  description: Mean angular distance traveled [°]
  measure: Saccade amplitude - Outdoor scene 3
  time frame: Baseline
  description: Mean angular distance traveled [°]
  measure: Saccade velocity - Indoor scene 1
  time frame: Baseline
  description: Mean peak velocity [°/s]
  measure: Saccade velocity - Indoor scene 2
  time frame: Baseline
  description: Mean peak velocity [°/s]
  measure: Saccade velocity - Indoor scene 3
  time frame: Baseline
  description: Mean peak velocity [°/s]
  measure: Saccade velocity - Outdoor scene 1
  time frame: Baseline
  description: Mean peak velocity [°/s]
  measure: Saccade velocity - Outdoor scene 2
  time frame: Baseline
  description: Mean peak velocity [°/s]
  measure: Saccade velocity - Outdoor scene 3
  time frame: Baseline
  description: Mean peak velocity [°/s]
  measure: Fixation duration - Indoor scene 1
  time frame: Baseline
  description: Mean fixation duration [s]
  measure: Fixation duration - Indoor scene 2
  time frame: Baseline
  description: Mean fixation duration [s]
  measure: Fixation duration - Indoor scene 3
  time frame: Baseline
  description: Mean fixation duration [s]
  measure: Fixation duration - Outdoor scene 1
  time frame: Baseline
  description: Mean fixation duration [s]
  measure: Fixation duration - Outdoor scene 2
  time frame: Baseline
  description: Mean fixation duration [s]
  measure: Fixation duration - Outdoor scene 3
  time frame: Baseline
  description: Mean fixation duration [s]
  measure: Fixation frequency - Indoor scene 1
  time frame: Baseline
  description: Number per minute [n/min]
  measure: Fixation frequency - Indoor scene 2
  time frame: Baseline
  description: Number per minute [n/min]
  measure: Fixation frequency - Indoor scene 3
  time frame: Baseline
  description: Number per minute [n/min]
  measure: Fixation frequency - Outdoor scene 1
  time frame: Baseline
  description: Number per minute [n/min]
  measure: Fixation frequency - Outdoor scene 2
  time frame: Baseline
  description: Number per minute [n/min]
  measure: Fixation frequency - Outdoor scene 3
  time frame: Baseline
  description: Number per minute [n/min]
  measure: Pupil size - Indoor scene 1
  time frame: Baseline
  description: Mean pupil size [mm]
  measure: Pupil size - Indoor scene 2
  time frame: Baseline
  description: Mean pupil size [mm]
  measure: Pupil size - Indoor scene 3
  time frame: Baseline
  description: Mean pupil size [mm]
  measure: Pupil size - Outdoor scene 1
  time frame: Baseline
  description: Mean pupil size [mm]
  measure: Pupil size - Outdoor scene 2
  time frame: Baseline
  description: Mean pupil size [mm]
  measure: Pupil size - Outdoor scene 3
  time frame: Baseline
  description: Mean pupil size [mm]
  measure: Melanopic irradiance - Indoor scene 1
  time frame: Baseline
  description: Irradiance [W/(sqm*nm)]
  measure: Melanopic irradiance - Indoor scene 2
  time frame: Baseline
  description: Irradiance [W/(sqm*nm)]
  measure: Melanopic irradiance - Indoor scene 3
  time frame: Baseline
  description: Irradiance [W/(sqm*nm)]
  measure: Melanopic irradiance - Outdoor scene 1
  time frame: Baseline
  description: Irradiance [W/(sqm*nm)]
  measure: Melanopic irradiance - Outdoor scene 2
  time frame: Baseline
  description: Irradiance [W/(sqm*nm)]
  measure: Melanopic irradiance - Outdoor scene 3
  time frame: Baseline
  description: Irradiance [W/(sqm*nm)]
  measure: Photopic illuminance - Indoor scene 1
  time frame: Baseline
  description: Illuminance [lux]
  measure: Photopic illuminance - Indoor scene 2
  time frame: Baseline
  description: Illuminance [lux]
  measure: Photopic illuminance - Indoor scene 3
  time frame: Baseline
  description: Illuminance [lux]
  measure: Photopic illuminance - Outdoor scene 1
  time frame: Baseline
  description: Illuminance [lux]
  measure: Photopic illuminance - Outdoor scene 2
  time frame: Baseline
  description: Illuminance [lux]
  measure: Photopic illuminance - Outdoor scene 3
  time frame: Baseline
  description: Illuminance [lux]
  measure: Subjective scene ratings - Indoor scene 1
  time frame: Baseline
  description: Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):
  1. "How beautiful is this scene to you?" 2. "1 = not beautiful at all; 10 = extremely beautiful" 3. No better or worse outcome
  1. "How would you rate the brightness of this scene?" 2. "1 = dimly lit room; 10 = bright sunny day" 3. No better or worse outcome
  1. "How visually comfortable did you find this scene?" 2. "1 = No discomfort; 10 = Very uncomfortable" 3. No better or worse outcome
  1. "How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?" 2. "1 = very simple; 10 = Very complex" 3. No better or worse outcome
  1. "How sleepy do you currently feel" 2. "1 = Extremely alert; 10 = Extremely sleep, can't keep awake" 3. Lower score is better
  measure: Subjective scene ratings - Indoor scene 2
  time frame: Baseline
  description: Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):
  1. "How beautiful is this scene to you?" 2. "1 = not beautiful at all; 10 = extremely beautiful" 3. No better or worse outcome
  1. "How would you rate the brightness of this scene?" 2. "1 = dimly lit room; 10 = bright sunny day" 3. No better or worse outcome
  1. "How visually comfortable did you find this scene?" 2. "1 = No discomfort; 10 = Very uncomfortable" 3. No better or worse outcome
  1. "How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?" 2. "1 = very simple; 10 = Very complex" 3. No better or worse outcome
  1. "How sleepy do you currently feel" 2. "1 = Extremely alert; 10 = Extremely sleep, can't keep awake" 3. Lower score is better
  measure: Subjective scene ratings - Indoor scene 3
  time frame: Baseline
  description: Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):
  1. "How beautiful is this scene to you?" 2. "1 = not beautiful at all; 10 = extremely beautiful" 3. No better or worse outcome
  1. "How would you rate the brightness of this scene?" 2. "1 = dimly lit room; 10 = bright sunny day" 3. No better or worse outcome
  1. "How visually comfortable did you find this scene?" 2. "1 = No discomfort; 10 = Very uncomfortable" 3. No better or worse outcome
  1. "How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?" 2. "1 = very simple; 10 = Very complex" 3. No better or worse outcome
  1. "How sleepy do you currently feel" 2. "1 = Extremely alert; 10 = Extremely sleep, can't keep awake" 3. Lower score is better
  measure: Subjective scene ratings - Outdoor scene 1
  time frame: Baseline
  description: Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):
  1. "How beautiful is this scene to you?" 2. "1 = not beautiful at all; 10 = extremely beautiful" 3. No better or worse outcome
  1. "How would you rate the brightness of this scene?" 2. "1 = dimly lit room; 10 = bright sunny day" 3. No better or worse outcome
  1. "How visually comfortable did you find this scene?" 2. "1 = No discomfort; 10 = Very uncomfortable" 3. No better or worse outcome
  1. "How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?" 2. "1 = very simple; 10 = Very complex" 3. No better or worse outcome
  1. "How sleepy do you currently feel" 2. "1 = Extremely alert; 10 = Extremely sleep, can't keep awake" 3. Lower score is better
  measure: Subjective scene ratings - Outdoor scene 2
  time frame: Baseline
  description: Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):
  1. "How beautiful is this scene to you?" 2. "1 = not beautiful at all; 10 = extremely beautiful" 3. No better or worse outcome
  1. "How would you rate the brightness of this scene?" 2. "1 = dimly lit room; 10 = bright sunny day" 3. No better or worse outcome
  1. "How visually comfortable did you find this scene?" 2. "1 = No discomfort; 10 = Very uncomfortable" 3. No better or worse outcome
  1. "How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?" 2. "1 = very simple; 10 = Very complex" 3. No better or worse outcome
  1. "How sleepy do you currently feel" 2. "1 = Extremely alert; 10 = Extremely sleep, can't keep awake" 3. Lower score is better
  measure: Subjective scene ratings - Outdoor scene 3
  time frame: Baseline
  description: Unabbreviated scale titles (1)., min. and max, values (2.), score assessment (3.):
  1. "How beautiful is this scene to you?" 2. "1 = not beautiful at all; 10 = extremely beautiful" 3. No better or worse outcome
  1. "How would you rate the brightness of this scene?" 2. "1 = dimly lit room; 10 = bright sunny day" 3. No better or worse outcome
  1. "How visually comfortable did you find this scene?" 2. "1 = No discomfort; 10 = Very uncomfortable" 3. No better or worse outcome
  1. "How would you rate the complexity of the scene (e.g. colour contrasts, different object identities, moving objects)?" 2. "1 = very simple; 10 = Very complex" 3. No better or worse outcome
  1. "How sleepy do you currently feel" 2. "1 = Extremely alert; 10 = Extremely sleep, can't keep awake" 3. Lower score is better
  measure: Geographical scene location - Indoor scene 1
  time frame: Baseline
  description: Longitude and latitude [°]
  measure: Geographical scene location - Indoor scene 2
  time frame: Baseline
  description: Longitude and latitude [°]
  measure: Geographical scene location - Indoor scene 3
  time frame: Baseline
  description: Longitude and latitude [°]
  measure: Geographical scene location - Outdoor scene 1
  time frame: Baseline
  description: Longitude and latitude [°]
  measure: Geographical scene location - Outdoor scene 2
  time frame: Baseline
  description: Longitude and latitude [°]
  measure: Geographical scene location - Outdoor scene 3
  time frame: Baseline
  description: Longitude and latitude [°]
  measure: Ambient temperature - Indoor scene 1
  time frame: Baseline
  description: Temperature [°C]
  measure: Ambient temperature - Indoor scene 2
  time frame: Baseline
  description: Temperature [°C]
  measure: Ambient temperature - Indoor scene 3
  time frame: Baseline
  description: Temperature [°C]
  measure: Ambient temperature - Outdoor scene 1
  time frame: Baseline
  description: Temperature [°C]
  measure: Ambient temperature - Outdoor scene 2
  time frame: Baseline
  description: Temperature [°C]
  measure: Ambient temperature - Outdoor scene 3
  time frame: Baseline
  description: Temperature [°C]
  arm group label: Eye-tracking, pupillometry and scene rating indoors & outdoors
  arm group type: Experimental
  intervention type: Other
  intervention name: Indoor vs. outdoor scenes
  description: Light conditions in indoor (artificial light) and outdoor (daylight) settings
  arm group label: Eye-tracking, pupillometry and scene rating indoors & outdoors
  criteria: 
  gender: All
  minimum age: 18 Years
  maximum age: 40 Years
  healthy volunteers: Accepts Healthy Volunteers
  last name: Manuel Spitschan, PhD
  role: Principal Investigator
  affiliation: Technical University of Munich & Max Planck Institute for Biological Cybernetics
  last name: Alexander Hahn
  phone: +49(0)70716011670
  email: alexander.hahn@tuebingen.mpg.de
  last name: Manuel Spitschan, PhD
  email: manuel.spitschan@tuebingen.mpg.de
  facility: 
  status: Recruiting
  contact: 
  country: Germany
  responsible party type: Principal Investigator
  investigator affiliation: Technical University of Munich
  investigator full name: Manuel Spitschan
  investigator title: Assistant Professor of Chronobiology & Health
  mesh term: Photophobia
  sharing ipd: Yes