Jettie Hoonhout

User experience evaluation methods: current state and development needs

The recent shift of emphasis to user experience (UX) has rendered it a central focus of product design and evaluation. A multitude of methods for UX design and evaluation exist, but a clear overview of the current state of the available UX evaluation methods is missing. This is partly due to a lack of agreement on the essential characteristics of UX. In this paper, we present the results of our multi-year effort of collecting UX evaluation methods from academia and industry with different approaches such as literature review, workshops, Special Interest Groups sessions and an online survey. We have collected 96 methods and analyzed them, among other criteria, based on the product development phase and the studied period of experience. Our analysis reveals development needs for UX evaluation methods, such as early-stage methods, methods for social and collaborative UX evaluation, establishing practicability and scientific quality, and a deeper understanding of UX.

TagTiles: optimal challenge in educational electronics

In this paper we describe TagTiles, a tangible electronic board game for educational purposes. It was designed to be suitable for investigating the balance between challenge and control by providing fine-grained and wide ranged difficulty levels. TagTiles can address a range of skills including fine motor skills, cognitive and social skills. Evaluation of the game showed that the children appreciated the game and that most of them were offered a challenge that was appropriate for their skill level.

Food and interaction design: designing for food in everyday life

Food and interaction design presents an interesting challenge to the HCI community in attending to the pervasive nature of food, the socio-cultural differences in food practices and a changing global foodscape. To design for meaningful and positive interactions it is essential to identify daily food practices and the opportunities for the design of technology to support such practices. This workshop brings together a community of researchers and practitioners in human-food interaction to attend to the practical and theoretical difficulties in designing for human-food interactions in everyday life. Through a practical field study and workshop we explore themes of food experiences, health and wellbeing, sustainability and alternative food cultures.

Food practices as situated action: exploring and designing for everyday food practices with households

Household food practices are complex. Many people are unable to effectively respond to challenges in their food environment to maintain diets considered to be in line with national and international standards for healthy eating. We argue that recognizing food practices as situated action affords opportunities to identify and design for practiced, local and achievable solutions to such food problems. Interviews and shop-a-longs were carried as part of a contextual inquiry with ten households. From this, we identify food practices, such as fitting food, stocking up, food value transitions, and having fun with others and how these practices are enacted in different ways with varied outcomes. We explore how HCI might respond to these practices through issues of social fooding, the presence of others, conceptions about food practices and food routines.

Editorial: Designing for human-food interaction: An introduction to the special issue on 'food and interaction design'

With this special issue, we draw attention to the growing and diverse field of HCI researchers exploring the interstices of food, technology and everyday practices. This special issue builds on the CHI workshop of the same name (Comber et al., 2012a), where we brought together the community of researchers that take food as a point from which to understand people and design technology. The workshop aimed to ‘to attend to the practical and theoretical difficulties in designing for human–food interactions in everyday life’ identifying four thematic areas of food practices – health and wellbeing; sustainability; food experiences; and alternative food cultures. These practical and theoretical difficulties are evident in the papers that we present here, though the distinction between our four themes, premised by complexities of food practices, is a little less evident. Thus, in the papers that follow we explore how the social, technological, cultural and methodological intertwine in the field of human–food interaction.

Functional Fun with Tangible User Interfaces

This paper describes how fun can be used to maximize the learning potential of smart toys using tangible interfaces. Based on the purpose of fun, three orthogonal core sources of fun, accomplishment, discovery and bonding, are presented and linked to child development. This link is illustrated with two examples of tangible electronic games.

Changes in Physical Activity Following a Genetic-Based Internet-Delivered Personalized Intervention: Randomized Controlled Trial (Food4Me)

Background There is evidence that physical activity (PA) can attenuate the influence of the fat mass- and obesity-associated (FTO) genotype on the risk to develop obesity. However, whether providing personalized information on FTO genotype leads to changes in PA is unknown. Objective The purpose of this study was to determine if disclosing FTO risk had an impact on change in PA following a 6-month intervention. Methods The single nucleotide polymorphism (SNP) rs9939609 in the FTO gene was genotyped in 1279 participants of the Food4Me study, a four-arm, Web-based randomized controlled trial (RCT) in 7 European countries on the effects of personalized advice on nutrition and PA. PA was measured objectively using a TracmorD accelerometer and was self-reported using the Baecke questionnaire at baseline and 6 months. Differences in baseline PA variables between risk (AA and AT genotypes) and nonrisk (TT genotype) carriers were tested using multiple linear regression. Impact of FTO risk disclosure on PA change at 6 months was assessed among participants with inadequate PA, by including an interaction term in the model: disclosure (yes/no) × FTO risk (yes/no). Results At baseline, data on PA were available for 874 and 405 participants with the risk and nonrisk FTO genotypes, respectively. There were no significant differences in objectively measured or self-reported baseline PA between risk and nonrisk carriers. A total of 807 (72.05%) of the participants out of 1120 in the personalized groups were encouraged to increase PA at baseline. Knowledge of FTO risk had no impact on PA in either risk or nonrisk carriers after the 6-month intervention. Attrition was higher in nonrisk participants for whom genotype was disclosed (P=.01) compared with their at-risk counterparts. Conclusions No association between baseline PA and FTO risk genotype was observed. There was no added benefit of disclosing FTO risk on changes in PA in this personalized intervention. Further RCT studies are warranted to confirm whether disclosure of nonrisk genetic test results has adverse effects on engagement in behavior change. Trial Registration ClinicalTrials.gov NCT01530139; http://clinicaltrials.gov/show/NCT01530139 (Archived by WebCite at: http://www.webcitation.org/6XII1QwHz)

Effects of a Web-Based Personalized Intervention on Physical Activity in European Adults: A Randomized Controlled Trial.

Background The high prevalence of physical inactivity worldwide calls for innovative and more effective ways to promote physical activity (PA). There are limited objective data on the effectiveness of Web-based personalized feedback on increasing PA in adults. Objective It is hypothesized that providing personalized advice based on PA measured objectively alongside diet, phenotype, or genotype information would lead to larger and more sustained changes in PA, compared with nonpersonalized advice. Methods A total of 1607 adults in seven European countries were randomized to either a control group (nonpersonalized advice, Level 0, L0) or to one of three personalized groups receiving personalized advice via the Internet based on current PA plus diet (Level 1, L1), PA plus diet and phenotype (Level 2, L2), or PA plus diet, phenotype, and genotype (Level 3, L3). PA was measured for 6 months using triaxial accelerometers, and self-reported using the Baecke questionnaire. Outcomes were objective and self-reported PA after 3 and 6 months. Results While 1270 participants (85.81% of 1480 actual starters) completed the 6-month trial, 1233 (83.31%) self-reported PA at both baseline and month 6, but only 730 (49.32%) had sufficient objective PA data at both time points. For the total cohort after 6 months, a greater improvement in self-reported total PA (P=.02) and PA during leisure (nonsport) (P=.03) was observed in personalized groups compared with the control group. For individuals advised to increase PA, we also observed greater improvements in those two self-reported indices (P=.006 and P=.008, respectively) with increased personalization of the advice (L2 and L3 vs L1). However, there were no significant differences in accelerometer results between personalized and control groups, and no significant effect of adding phenotypic or genotypic information to the tailored feedback at month 3 or 6. After 6 months, there were small but significant improvements in the objectively measured physical activity level (P<.05), moderate PA (P<.01), and sedentary time (P<.001) for individuals advised to increase PA, but these changes were similar across all groups. Conclusions Different levels of personalization produced similar small changes in objective PA. We found no evidence that personalized advice is more effective than conventional “one size fits all” guidelines to promote changes in PA in our Web-based intervention when PA was measured objectively. Based on self-reports, PA increased to a greater extent with more personalized advice. Thus, it is crucial to measure PA objectively in any PA intervention study. Trial Registration ClinicalTrials.gov NCT01530139; http://clinicaltrials.gov/show/NCT01530139 (Archived by WebCite at: http://www.webcitation.org/6XII1QwHz)

The context aware personal remote control: a case study on context awareness

Modern mobile devices generate a lot of frustration because they cry out for our attention, however, incapable of doing it in the socially acceptable way. The major reason for such handicapped behaviour is that these devices are blind and deaf to the instant situation of the user. To improve this situation research in context awareness targets at making intelligent systems and devices sensitive to the context of use so that they can adapt their behaviour dependent on the context cues such as identity of the user, state of the environment and application status. In this paper we describe our research on context awareness applied to a Personal Remote Control (PRC). The PRC presents TV program reminders and suggestions in an adaptive way dependent on the situation of use. By using sensor based context awareness we strived to make the PRC behaviour appropriate to the situation and to prevent missing a program reminder due to communication failure.

Investigating the relationship between the personality of a robotic TV assistant and the level of user control

This paper describes the design and evaluation of a robotic TV assistant that helps users find a TV-programme that fits their interests. Questions that were addressed include: What personality do users prefer for the robotic TV-assistant? What level of control do they prefer? How do personality and the level of control relate to each other? Four prototypes were developed by combining two personalities and two levels of user control. In the high control condition, a speech-based command-and-control interaction style was used, whereas the interaction style in the low control condition consisted of speech-based system-initiative natural language dialogue. The results demonstrated an interaction between the effects of personality and level of control on user preferences. Overall, the most preferred combination was an extravert and friendly personality with low user control. Additionally, it was found that perceived level of control was influenced by the robots personality. This suggests that the robots personality can be used as a means to increase the amount of control that users perceive