Mixed Reality Laboratory
  • Print

Talk by Carlos Aceves-Gonzalez (Universidad de Guadalajara, Mexico)

Mixed Reality Lab Meeting Space
Friday 24th May 2019 (12:00-13:00)

This week, Carlos Aceves-Gonzalez, who is Associate Professor of Ergonomics and Inclusive Design, and Head of the Ergonomics Research Centre at the Universidad de Guadalajara in Mexico, will talk about Ergonomics and Inclusive Service Design in the Mexican Context.

Application of Ergonomics and Inclusive Service Design in the Mexican Context

Despite the great improvements that have bee made through legislation to support the ageing population, there is still a compelling need for inclusive services that can be used by a broader range of users, especially in developing countries. We require services in which providers are able to understand how to respond properly to users regardless of the users' age or capabilities.

Inclusive Service Design (ISD) is underpinned on the idea that using philosophical principles, tools, and techniques from the domains of Service Design and Inclusive Design and guided by a Human Factors perspective it is possible to design better services. ISD was developed and applied in the context of bus transportation services as part of my Ph.D. at Loughborough University. My talk will include a brief description of ISD and some experiences of its application in Mexico.

About Carlos

Dr. Carlos Aceves-González is an Associate Professor of Ergonomics and Inclusive Design at the University of Guadalajara. Carlos is currently working on a research project on Human Factors and Healthcare in collaboration with the University of Nottingham, funded with the Global Challenges Research Fund (GCRF).

The fundamental underpinning to Carlos' research and teaching practice is based on a degree in Psychology at the University of Guadalajara which was complemented with a Ph.D. in Ergonomics and Inclusive Design at Loughborough University.

Mixed Reality Laboratory

University of Nottingham
School of Computer Science
Nottingham, NG8 1BB

telephone: +44 (0) 115 846 6780
email: mrl@cs.nott.ac.uk