[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/iab/iabdpa/201734.html
   My bibliography  Save this paper

Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection

Author

Listed:
  • Horwitz, Rachel

    (U.S. Census Bureau)

  • Brockhaus, Sarah

    (LMU München ; Univ. Mannheim)

  • Henninger, Felix

    (Univ. Mannheim)

  • Kieslich, Pascal

    (Univ. Mannheim)

  • Schierholz, Malte

    (Institute for Employment Research (IAB), Nuremberg, Germany ; Univ. Mannheim)

  • Keusch, Florian

    (Univ. Mannheim)

  • Kreuter, Frauke

    (Institute for Employment Research (IAB), Nuremberg, Germany ; Univ. Mannheim ; Univ. of Maryland)

Abstract
"Web surveys have become a standard, and often preferred, mode of survey administration in part because the technology underlying them is much more adaptable. Survey designers often use these technical features to help guide respondents through a survey, by incorporating automated skips, for example. Other features, such as mouse movements, can be used to identify individual respondents that may require attention. Specifically, researchers in a variety of fields have used the total distance traveled, the cursor's trajectory, and specific patterns of movement to measure interest, uncertainty, and respondent difficulty. The current study aims to develop automated procedures for detecting and quantifying difficulty indicators in web surveys. It will use, and build on, indicators that have been identified by prior research. In addition, the current study relies on recent methodological advances in psychology that propose mouse-tracking measures for assessing the tentative commitments to, and conflict between, response alternatives." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Horwitz, Rachel & Brockhaus, Sarah & Henninger, Felix & Kieslich, Pascal & Schierholz, Malte & Keusch, Florian & Kreuter, Frauke, 2017. "Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection," IAB-Discussion Paper 201734, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabdpa:201734
    as

    Download full text from publisher

    File URL: https://doku.iab.de/discussionpapers/2017/dp3417.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:cup:judgdm:v:6:y:2011:i:8:p:771-781 is not listed on IDEAS
    2. repec:cup:judgdm:v:6:y:2011:i:8:p:750-758 is not listed on IDEAS
    3. Murphy, Ryan O. & Ackermann, Kurt A. & Handgraaf, Michel J. J., 2011. "Measuring Social Value Orientation," Judgment and Decision Making, Cambridge University Press, vol. 6(8), pages 771-781, December.
    4. repec:cup:judgdm:v:9:y:2014:i:6:p:510-522 is not listed on IDEAS
    5. Brunow, Stephan & Birkeneder, Antonia & Rodríguez-Pose, Andrés, 2017. "Creative and science oriented employees and firm innovation : a key for smarter cities?," IAB-Discussion Paper 201724, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Brixy, Udo & Brunow, Stephan & D'Ambrosio, Anna, 2017. "Ethnic diversity in start-ups and its impact on innovation," IAB-Discussion Paper 201725, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Stockinger, Bastian, 2017. "The effect of broadband internet on establishments' employment growth: evidence from Germany," IAB-Discussion Paper 201719, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Schierholz, Malte & Brenner, Lorraine & Cohausz, Lea & Damminger, Lisa & Fast, Lisa & Hörig, Ann-Kathrin & Huber, Anna-Lena & Ludwig, Theresa & Petry, Annabell & Tschischka, Laura, 2018. "Eine Hilfsklassifikation mit Tätigkeitsbeschreibungen für Zwecke der Berufskodierung : Leitgedanken und Dokumentation," IAB-Discussion Paper 201813, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peters, Jan Cornelius, 2016. "Quantifying the effect of labor market size on learning externalities," Economics Working Papers 2016-11, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Hutter, Christian & Weber, Enzo, 2017. "The effects of skill-biased technical change on productivity flattening and hours worked," IAB-Discussion Paper 201732, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Carbonero, Francesco & Offermanns, Christian J. & Weber, Enzo, 2017. "The fall of the labour income share: the role of technological change and imperfect labour markets," IAB-Discussion Paper 201728, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2019. "Digital Communication and Swift Trust," Post-Print halshs-02409314, HAL.
    5. Judith Kas & David J. Hardisty & Michel J. J. Handgraaf, 2021. "Steady steps versus sudden shifts: Cooperation in (a)symmetric linear and step-level social dilemmas," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(1), pages 142-164, January.
    6. Cornaglia, Francesca & Drouvelis, Michalis & Masella, Paolo, 2019. "Competition and the role of group identity," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 136-145.
    7. Malgorzata Wachowska & Magdalena Homa, 2020. "The Role of Ethnic Diversity in Stimulating Innovation Processes: Comparative Analysis of Poland, the Czech Republic and Hungary," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1157-1176.
    8. repec:cup:judgdm:v:12:y:2017:i:3:p:224-235 is not listed on IDEAS
    9. Buskens, Vincent & Corten, Rense & Przepiorka, Wojtek, 2024. "Behavioral experiments in computational social science," OSF Preprints 9vm5t_v1, Center for Open Science.
    10. Christoph Engel & Paul A. M. Van Lange, 2021. "Social mindfulness is normative when costs are low, but rapidly declines with increases in costs," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(2), pages 290-322, March.
    11. Quement, Mark T. Le & Marcin, Isabel, 2020. "Communication and voting in heterogeneous committees: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 449-468.
    12. Carlos A. de Matos Fernandes & Dieko M. Bakker & Jacob Dijkstra, 2022. "Assessing the test-retest reliability of the social value orientation slider measure," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 17(1), pages 31-49, January.
    13. Masters-Waage, Theodore C. & Nai, Jared & Reb, Jochen & Sim, Samantha & Narayanan, Jayanth & Tan, Noriko, 2021. "Going far together by being here now: Mindfulness increases cooperation in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 167(C), pages 189-205.
    14. Richard S.J. Tol & Peter Dolton, 2016. "A survey of the UK population on public policy," Working Paper Series 8416, Department of Economics, University of Sussex.
    15. Zylbersztejn, Adam & Babutsidze, Zakaria & Hanaki, Nobuyuki, 2020. "Preferences for observable information in a strategic setting: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 268-285.
    16. Attallah, May & Abildtrup, Jens & Stenger, Anne, 2022. "Non-monetary incentives for sustainable biomass harvest: An experimental approach," Resource and Energy Economics, Elsevier, vol. 69(C).
    17. Halko, Marja-Liisa & Lappalainen, Olli & Sääksvuori, Lauri, 2021. "Do non-choice data reveal economic preferences? Evidence from biometric data and compensation-scheme choice," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 87-104.
    18. repec:grz:wpsses:2017-01 is not listed on IDEAS
    19. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," Economic Inquiry, Western Economic Association International, vol. 59(4), pages 1517-1532, October.
    20. Janet Hua Jiang & Peter Norman & Daniela Puzzello & Bruno Sultanum & Randall Wright, 2024. "Is Money Essential? An Experimental Approach," Journal of Political Economy, University of Chicago Press, vol. 132(9), pages 2972-2998.
    21. Gamba, Astrid & Regner, Tobias, 2019. "Preferences-dependent learning in the centipede game: The persistence of mistrust," European Economic Review, Elsevier, vol. 120(C).
    22. Läpple, Doris & Osawe, Osayanmon Wellington, 2022. "Animal Welfare, Altruism and Policy Support," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321212, Agricultural Economics Society - AES.

    More about this item

    Keywords

    Automatisierung ; Befragung ; Benutzerforschung ; Beobachtung ; Datenanalyse ; Informationsgewinnung ; Internet ; Meinungsforschung ; online ; Antwortverhalten ; psychische Faktoren ; internetbasierte Datengewinnung ; 2016-2016;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iab:iabdpa:201734. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IAB, Geschäftsbereich Wissenschaftliche Fachinformation und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabbbde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.