Persuasive technology for shaping social beliefs of rural women in india: An approach based on the theory of planned behaviour

Vikram Parmar, David Keyson, Cornelis Joachim Petrus Maria de Bont

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

16 Citations (Scopus)


This paper presents the Personal Health Information system (PHI), which has been designed to influence health behaviours of rural women. The objective of the PHI is to offer health information to rural women to increase their awareness about menses and maternal health. The design and development process of the PHI is based on the theory of planned behaviour and employs social cues of persuasive technology to increase perceived behaviour control of rural women. In order to measure users' level of engagement, a comparative study between the PHI and conventional health information system was conducted. The results of the interactive sessions with women of different age groups and literacy levels illustrates the usefulness of PHI in motivating rural women to challenge existing social beliefs and practices, thereby persuading them to follow correct health practices. In this paper, design process of PHI, preliminary results of the initial study, and future research plans are discussed.
Original languageEnglish
Title of host publicationPersuasive Technology - Third International Conference, PERSUASIVE 2008, Proceedings
Number of pages12
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event3rd International Conference on Persuasive Technology, PERSUASIVE 2008 - Oulu, Finland
Duration: 4 Jun 20086 Jun 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5033 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Persuasive Technology, PERSUASIVE 2008

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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