Consumer behavior research
Consumer behavior research focuses on studying consumer actions (in the moment) and getting to know the underlying motives. This type of research benefits from systematic observation and a structural analysis providing key insights in order to successfully predict consumer preference and behavior. Really knowing your customer is what you need to design loved products and applications. Noldus has a wide range of solutions available to support you: from Viso, FaceReader, and The Observer XT to eye trackers and completely integrated customer experience labs.
Automatic facial expression analysis
FaceReader is used worldwide at more than 900 universities, research institutes, and companies. This software automatically analyzes 6 basic facial expressions, neutral, contempt, and boredom, interest, and confusion. Moreover, it allows you to report about participant responses to commercials, products, or other stimuli. New in FaceReader 8 is the option to automatically measure consumption behavior. This option will be available for FREE on an experimental basis and with it, you can analyze chewing behavior, taking a bite, and talking.
Prof. Duncan explains why she chooses FaceReader for her research
Prof. Susan Duncan is a professor in Food Science & Technology at Virginia Tech. She focuses on the role of sensory evaluation. With the help of FaceReader, she can capture how people are responding emotionally to products.
Watch the video to learn more about why she chooses Noldus' tools.
Prof. de Graaf explains how The Observer XT software helps them to quantify behavior
Prof. Kees de Graaf talks about how to study sensory science and eating behavior. And how software such as The Observer XT helps his team achieve their goals in science.
Watch the video to learn more about why he chooses Noldus' tools.
Spatial behavior tracking
Gain insights into social interactions, consumer behavior, and space utilization by using our brand-new software TrackLab: the complete tracking solution. Save time on data collection and analysis, and obtain real-time insights into a wide range of spatial behaviors. TrackLab works with Ultra-Wideband (UWB) technology to collect data on subjects’ location and movement. It is a tag-based system, using UWB tags that are compact, lightweight, and non-intrusive.
Turn data into meaning - Noldus Consulting
A respondent’s awareness affects behavior and distorts research results. Our technique allows respondents to act naturally, such as in the home or in an office, in order to gain insights in very real contexts. Utilizing our advanced observational toolkit, our technique systematically analyzes the activities from the natural context to create deep and meaningful insights into respondents’ behavior.
Our consultants have advanced degrees in the behavioral sciences, which provides a unique ability to uncover behavioral patterns and turn them into actionable results. Read more about consumer behavior consulting services.
A diverse collection of scientific articles citing Noldus products are published in renowned journals. The following list is only a small selection of scientific publications. Please contact us if you need more reference material.
- Edelson, L.R.; Mokdad, C.; Martin, N. (2016). Prompts to eat novel and familiar fruits and vegetables in families with 1-3 year-old children: Relationships with food acceptance and intake. Appetite, 99, 138-148.
- He, W.; Boesveldt, S.; Graaf, C. de; Wijk, R.A. de (2012). Behavioural and physiological responses to two food odours. Appetite, 59 (2), 628.
- Mennella, J.A.; Forestell, C.A.; Morgan, L.K.; Beauchamp, G.K. (2009). Early milk feeding taste acceptance and liking during infancy. The American Jounal of Clinical Nutrician, 782- 786.
- Wanders, A.J.; Jonathan, M.C.; Borne, van den, J.G.C.; Mars, M. Schols, H.A.; Feskens, E.J.M.; Graaf, de C. (2013). The effects of bulking, viscous and gel-forming dietary fibres on satiation. British Journal of Nutrition, 109, 1330-1337.
- Wijk, de, R.A.; Kooijman, V.; Verhoeven, R.; Holthuyzen, N.; Graaf, de, C. (2012). Autonomic nervous system responses on and facial expressions ot the sight, smell, and taste of liked and disliked foods. Food Quality and Preference, 26 (2), 196-203.