Exploring differences between central located test and home use test in a living lab context

The concept of Living Labs (LLs) has evolved to support the creation of experience-based development of innovations in real-life, user-driven and open environments. Two types of consumer product tests used generally are central location tests (CLT) and home use tests (HUT) where the acceptability or liking of a product or group of products is determined together with the view of whether one product is preferred over other products. This article explores the similarities and differences between CLT and HUT test results in a LL context. In both settings, the acceptance of five flavoured chocolate bars was evaluated for appearance, odour, taste/flavour, texture and overall liking. Apart from the mean values of liking in the two tests, data were analysed to identify consumer segments. Qualitative data were also collected by asking for consumer comments on the tested samples. The results show that independent of test method the bars were evaluated equally and all accepted by the consumers. A clear difference between CLT and HUT testing was that CLT consumers significantly differed from the HUT consumers, giving the test samples lower scores. For example, the mean values of the overall acceptance scores given by HUT consumers varied between 6.0 and 6.6, while for CLT consumers the corresponding values varied from 5.4 to 5.9. Another difference was the number of comments from consumers. CLT consumers richly commented on the products in a verbose way, while HUT consumers used the opportunity to comment very sparingly. Considering the cluster analysis as yet another difference between the testing methods, clusters from the CLT were more distinct and the number was higher with five clusters in CLT and four in HUT. Clusters where consumers liked all the products in both test settings were twice as many for HUT than in CLT. Applying the LL approach, there is a need for methods and approaches that capture a rich picture of consumers during test performance without being intrusive or obstructive of activities and context. The approach offers the opportunity for companies to have consumers not only test products but also offer input that can stimulate new innovations and give consumers more power and influence.

[1]  M. Westerlund,et al.  Living labs as open-innovation networks , 2012 .

[2]  Julien Delarue,et al.  Central location test vs. home use test: Contrasting results depending on product type , 2007 .

[3]  Anna Ståhlbröst A Living Lab as a Service: Creating Value for Micro-enterprises through Collaboration and Innovation , 2013 .

[4]  Panos Markopoulos,et al.  LivingLab : a white paper , 2000 .

[5]  Youngjin Yoo,et al.  Computing in Everyday Life: A Call for Research on Experiential Computing , 2010, MIS Q..

[6]  Magnus Bergquist,et al.  Open Innovation, Generativity and the Supplier as Peer: The Case of Iphone and Android , 2011, Digital Disruptive Innovation.

[7]  Anna Ståhlbröst,et al.  A set of key principles to assess the impact of Living Labs , 2012 .

[8]  Harry T. Lawless,et al.  Sensory Evaluation of Food , 1999 .

[9]  Anna Ståhlbröst,et al.  Using a Living Lab Methodology for Developing Energy Savings Solutions , 2013, AMCIS.

[10]  W. Mensink,et al.  Unpacking European Living Labs: Analysing Innovation’s Social Dimensions , 2010 .

[11]  Esteve Almirall,et al.  Living Labs: Arbiters of Mid- and Ground-Level Innovation , 2010, Global Sourcing Workshop.

[12]  Anna Ståhlbröst,et al.  Living Lab: an open and citizen-centric approach for innovation , 2009 .

[13]  Harry T. Lawless,et al.  Sensory Evaluation of Food: Principles and Practices , 1998 .

[14]  Mik Lamming,et al.  Interactive system design , 1995 .

[15]  Robert. Griffin,et al.  PRODUCT OPTIMIZATION IN CENTRAL‐LOCATION TESTING AND SUBSEQUENT VALIDATION AND CALIBRATION IN HOME‐USE TESTING , 1990 .

[16]  Paul Michael Di Gangi,et al.  Steal my idea! Organizational adoption of user innovations from a user innovation community: A case study of Dell IdeaStorm , 2009, Decis. Support Syst..

[17]  Martin Schreier,et al.  The Value of Crowdsourcing: Can Users Really Compete with Professionals in Generating New Product Ideas? , 2009 .

[18]  Anna Ståhlbröst,et al.  Voluntary Contributors in Open Innovation Processes , 2013 .

[19]  E. Martinsdóttir,et al.  Evaluation of farmed cod products by a trained sensory panel and consumers in different test settings , 2010 .

[20]  Julien Delarue,et al.  Comparing central location test and home use test results : Application of a new criterion , 2005 .

[21]  S. Issanchou,et al.  Influence of label and location of testing on acceptability of cream cheese varying in fat content , 1995, Appetite.

[22]  Anna Ståhlbröst,et al.  A milieu for innovation : defining living labs , 2009 .