Automatic versus manual forwarding in web surveys - A cognitive load perspective on satisficing responding.

Arto Selkälä, Mario Callegaro, Mick, P. Couper

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

We examine the satisficing respondent behavior and cognitive load of the participants in particular web survey interfaces applying automatic forwarding (AF) or manual forwarding (MF) in order to forward respondents to the next item. We create a theoretical framework based on the Cognitive Load theory (CLT), Cognitive Theory of Multimedia Learning (CTML) and Survey Satisficing Theory taken also into account the latest findings of cognitive neuroscience. We develop a new method in order to measure satisficing responding in web surveys. We argue that the cognitive response process in web surveys should be interpreted starting at the level of sensory memory instead of at the level of working memory. This approach allows researchers to analyze an accumulation of cognitive load across the questionnaire based on observed or hypothesized eye-movements taken into account the interface design of the web survey. We find MF reducing both average item level response times as well as the standard deviation of item-level response times. This suggests support for our hypothesis that the MF interface as a more complex design including previous and next buttons increases satisficing responding generating also the higher total cognitive load of respondents. The findings reinforce the view in HCI that reducing the complexity of interfaces and the presence of extraneous elements reduces cognitive load and facilitates the concentration of cognitive resources on the task at hand. It should be noted that the evidence is based on a relatively short survey among university students. Replication in other settings is recommended.
Original languageEnglish
Title of host publicationSocial Computing and Social Media
Subtitle of host publicationDesign, ethics, user behavior, and social network analysis
EditorsGabriele Meiselwitz
Place of PublicationCham
PublisherSpringer
Pages130–155
Number of pages26
VolumeLNCS
Edition12194
ISBN (Electronic)978-3-030-49570-1
ISBN (Print)978-3-030-49569-5
DOIs
Publication statusPublished - Jul 2020
MoEC publication typeA4 Article in a conference publication
Event12th International Conference SCSM 2020: Held as Part of the 22nd HCI International Conference - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

SeriesLecture Notes in Computer Science
Volume12194
ISSN0302-9743

Conference

Conference12th International Conference SCSM 2020
Abbreviated titleHCII 2020
CountryDenmark
CityCopenhagen
Period19.07.202024.07.2020

Keywords

  • Attentional capture
  • Automatic forwarding
  • Cognitive burden
  • Cognitive load theory
  • Cognitive Theory of Multimedia Learning
  • Contiquity principle
  • Extraneous cognitive load
  • Eye-movements
  • Eye-tracking
  • Group-mean centering
  • Human-computer interaction
  • Interactivity
  • Interface design
  • Intrinsic cognitive load
  • Item-level response times
  • Log-linear model
  • Long-term memory
  • Manual forwarding
  • Nondifferentiation
  • Proactive attention
  • Satisficing responding
  • Sensory memory
  • Spatial orienting
  • Standard deviation
  • Straightlining
  • Survey satisficing theory
  • Web surveys
  • Working memory

Field of science

  • Psychology

Citation for this output