Literature DB >> 24935771

A multi-level analysis of the effects of age and gender stereotypes on trust in anthropomorphic technology by younger and older adults.

Richard Pak1, Anne Collins McLaughlin, Brock Bass.   

Abstract

Previous research has shown that gender stereotypes, elicited by the appearance of the anthropomorphic technology, can alter perceptions of system reliability. The current study examined whether stereotypes about the perceived age and gender of anthropomorphic technology interacted with reliability to affect trust in such technology. Participants included a cross-section of younger and older adults. Through a factorial survey, participants responded to health-related vignettes containing anthropomorphic technology with a specific age, gender, and level of past reliability by rating their trust in the system. Trust in the technology was affected by the age and gender of the user as well as its appearance and reliability. Perceptions of anthropomorphic technology can be affected by pre-existing stereotypes about the capability of a specific age or gender. PRACTITIONER
SUMMARY: The perceived age and gender of automation can alter perceptions of the anthropomorphic technology such as trust. Thus, designers of automation should design anthropomorphic interfaces with an awareness that the perceived age and gender will interact with the user’s age and gender

Entities:  

Keywords:  aging; automation; health; mobile; stereotypes; trust

Mesh:

Year:  2014        PMID: 24935771     DOI: 10.1080/00140139.2014.928750

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  6 in total

1.  A Little Anthropomorphism Goes a Long Way.

Authors:  Ewart J de Visser; Samuel S Monfort; Kimberly Goodyear; Li Lu; Martin O'Hara; Mary R Lee; Raja Parasuraman; Frank Krueger
Journal:  Hum Factors       Date:  2017-02       Impact factor: 2.888

2.  Determinants of Laypersons' Trust in Medical Decision Aids: Randomized Controlled Trial.

Authors:  Marvin Kopka; Malte L Schmieding; Felix Balzer; Markus A Feufel; Tobias Rieger; Eileen Roesler
Journal:  JMIR Hum Factors       Date:  2022-05-03

3.  Hierarchical Neural Prediction of Interpersonal Trust.

Authors:  Yiwen Wang; Xue Yang; Zhenpeng Tang; Shaobei Xiao; Johannes Hewig
Journal:  Neurosci Bull       Date:  2021-02-09       Impact factor: 5.203

4.  Looking for Age Differences in Self-Driving Vehicles: Examining the Effects of Automation Reliability, Driving Risk, and Physical Impairment on Trust.

Authors:  Ericka Rovira; Anne Collins McLaughlin; Richard Pak; Luke High
Journal:  Front Psychol       Date:  2019-04-26

Review 5.  Scoping Review on Ageism against Younger Populations.

Authors:  Vânia de la Fuente-Núñez; Ella Cohn-Schwartz; Senjooti Roy; Liat Ayalon
Journal:  Int J Environ Res Public Health       Date:  2021-04-10       Impact factor: 3.390

6.  Exploring Trust Formation and Antecedents in Social Commerce.

Authors:  Ali Alkhalifah
Journal:  Front Psychol       Date:  2022-01-28
  6 in total

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