Abstract
Trust is fundamental in our acceptance and decision-making of that which we surround ourselves with. This paper reviews existing frameworks and discourse around types of trust and identifies key factors for trust formation, maintenance and ongoing use. It establishes a need for a framework focusing on the design of trustworthy objects, especially those that are technology-embedded. It identifies a series of factors and recommendations when designing for trust. Stemming from a creative practice-based PhD from Aotearoa, New Zealand, the project seeks to design a product for the horticultural industry that enables more efficient data collection around fruit size. When yield correlates with financial outcomes, growers distrust data from the packhouse not matching estimations. Using digital technologies generates richer datasets safely and efficiently, allowing for a greater understanding of the state of the orchard at a given time. The factors found have relevance and application across a broad range of industries.
Keywords
trust; technology-embedded objects; technology adoption; industrial design
DOI
https://doi.org/10.21606/drs.2024.695
Citation
Krige, Z. (2024) Developing factors of trust for the design of trustworthy Human - Product interactions, in Gray, C., Hekkert, P., Forlano, L., Ciuccarelli, P. (eds.), DRS2024: Boston, 23–28 June, Boston, USA. https://doi.org/10.21606/drs.2024.695
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Research Paper
Included in
Developing factors of trust for the design of trustworthy Human - Product interactions
Trust is fundamental in our acceptance and decision-making of that which we surround ourselves with. This paper reviews existing frameworks and discourse around types of trust and identifies key factors for trust formation, maintenance and ongoing use. It establishes a need for a framework focusing on the design of trustworthy objects, especially those that are technology-embedded. It identifies a series of factors and recommendations when designing for trust. Stemming from a creative practice-based PhD from Aotearoa, New Zealand, the project seeks to design a product for the horticultural industry that enables more efficient data collection around fruit size. When yield correlates with financial outcomes, growers distrust data from the packhouse not matching estimations. Using digital technologies generates richer datasets safely and efficiently, allowing for a greater understanding of the state of the orchard at a given time. The factors found have relevance and application across a broad range of industries.