Literature DB >> 22192788

Understanding active and passive users: the effects of an active user using normal, hard and unreliable technologies on user assessment of trust in technology and co-user.

Enid Montague1, Jie Xu.   

Abstract

The aim of this study was to understand how passive users perceive the trustworthiness of active users and technologies under varying technological conditions. An experimental study was designed to vary the functioning of technologies that active users interacted with, while passive users observed these interactions. Active and passive user ratings of technology and partner were collected. Exploratory data analysis suggests that passive users developed perceptions of technologies based on the functioning of the technology and how the active user interacted with the technology. Findings from this research have implications for the design of technologies in environments where active and passive users interact with technologies in different ways. Future work in this area should explore interventions that lead to enhanced affective engagement and trust calibration. Published by Elsevier Ltd.

Entities:  

Mesh:

Year:  2011        PMID: 22192788      PMCID: PMC3422026          DOI: 10.1016/j.apergo.2011.11.002

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  14 in total

Review 1.  Trust in automation: designing for appropriate reliance.

Authors:  John D Lee; Katrina A See
Journal:  Hum Factors       Date:  2004       Impact factor: 2.888

2.  Patient views of adverse events: comparisons of self-reported healthcare staff attitudes with disclosure of accident information.

Authors:  Kenji Itoh; Henning Boje Andersen; Marlene Dyrløv Madsen; Doris Østergaard; Masaaki Ikeno
Journal:  Appl Ergon       Date:  2006-06-06       Impact factor: 3.661

3.  An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry.

Authors:  Feng-Cheng Tung; Su-Chao Chang; Chi-Min Chou
Journal:  Int J Med Inform       Date:  2007-07-23       Impact factor: 4.046

4.  Job demands and stress reactions in repetitive and uneventful monotony at work.

Authors:  G Johansson
Journal:  Int J Health Serv       Date:  1989       Impact factor: 1.663

5.  21st-century health care: the effect of computer use by physicians on patient satisfaction at a family medicine clinic.

Authors:  Gregory M Garrison; Matthew E Bernard; Norman H Rasmussen
Journal:  Fam Med       Date:  2002-05       Impact factor: 1.756

6.  The effects of doctor--patient communication on satisfaction and outcome of care.

Authors:  F R Woolley; R L Kane; C C Hughes; D D Wright
Journal:  Soc Sci Med       Date:  1978-03       Impact factor: 4.634

7.  Validation of a trust in medical technology instrument.

Authors:  Enid Montague
Journal:  Appl Ergon       Date:  2010-02-26       Impact factor: 3.661

Review 8.  Enriching the doctor-patient relationship by inviting the patient's perspective.

Authors:  T L Delbanco
Journal:  Ann Intern Med       Date:  1992-03-01       Impact factor: 25.391

9.  Assessing the effects of physician-patient interactions on the outcomes of chronic disease.

Authors:  S H Kaplan; S Greenfield; J E Ware
Journal:  Med Care       Date:  1989-03       Impact factor: 2.983

10.  Social psychophysiological compliance in a four-person research team.

Authors:  R A Henning; A G Armstead; J K Ferris
Journal:  Appl Ergon       Date:  2009-06-11       Impact factor: 3.661

View more
  6 in total

1.  Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature.

Authors:  Sara Belle Donevant; Robin Dawson Estrada; Joan Marie Culley; Brian Habing; Swann Arp Adams
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

2.  How different types of users develop trust in technology: a qualitative analysis of the antecedents of active and passive user trust in a shared technology.

Authors:  Jie Xu; Kim Le; Annika Deitermann; Enid Montague
Journal:  Appl Ergon       Date:  2014-05-29       Impact factor: 3.661

3.  Exploring Use Patterns and Racial and Ethnic Differences in Real Time Affective States During Social Media Use Among a Clinical Sample of Adolescents With Depression: Prospective Cohort Study.

Authors:  Cameron Nereim; David Bickham; Michael Rich
Journal:  JMIR Form Res       Date:  2022-05-12

Review 4.  How transparency modulates trust in artificial intelligence.

Authors:  John Zerilli; Umang Bhatt; Adrian Weller
Journal:  Patterns (N Y)       Date:  2022-02-24

5.  Simulated Clinical Encounters Using Patient-Operated mHealth: Experimental Study to Investigate Patient-Provider Communication.

Authors:  Harry Tunnell; Anthony Faiola; Davide Bolchini; Rebecca Bartlett Ellis
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-01       Impact factor: 4.773

6.  Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study.

Authors:  Jonah Meyerhoff; Tony Liu; Konrad P Kording; Lyle H Ungar; Susan M Kaiser; Chris J Karr; David C Mohr
Journal:  J Med Internet Res       Date:  2021-09-03       Impact factor: 5.428

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.