Effects of eating with an augmented fork with vibrotactile feedback on eating rate and body weight: a randomized controlled trial.

BACKGROUND: Eating rate is a basic determinant of appetite regulation: people who eat more slowly feel sated earlier and eat less. A high eating rate contributes to overeating and potentially to weight gain. Previous studies showed that an augmented fork that delivers real-time feedback on eating rate is a potentially effective intervention to decrease eating rate in naturalistic settings. This study assessed the impact of using the augmented fork during a 15-week period on eating rate and body weight. METHODS: In a parallel randomized controlled trial, 141 participants with overweight (age: 49.2 ± 12.3 y; BMI: 31.5 ± 4.48 kg/m2) were randomized to intervention groups (VFC, n = 51 or VFC+, n = 44) or control group (NFC, n = 46). First, we measured bite rate and success ratio on five consecutive days with the augmented fork without feedback (T1). The intervention groups (VFC, VFC+) then used the same fork, but now received vibrotactile feedback when they ate more than one bite per 10 s. Participants in VFC+ had additional access to a web portal with visual feedback. In the control group (NFC), participants ate with the fork without either feedback. The intervention period lasted four weeks, followed by a week of measurements only (T2) and another measurement week after eight weeks (T3). Body weight was assessed at T1, T2, and T3. RESULTS: Participants in VFC and VFC+ had a lower bite rate (p < .01) and higher success ratio (p < .0001) than those in NFC at T2. This effect persisted at T3. In both intervention groups participants lost more weight than those in the control group at T2 (p < .02), with no rebound at T3. CONCLUSIONS: The findings of this study indicate that an augmented fork with vibrotactile feedback is a viable tool to reduce eating rate in naturalistic settings. Further investigation may confirm that the augmented fork could support long-term weight loss strategies. TRIAL REGISTRATION: The research reported in this manuscript was registered on 4 November 2015 in the Netherlands Trial Register with number NL5432 ( https://www.trialregister.nl/trial/5432 ).

The effect of real-time vibrotactile feedback delivered through an augmented fork on eating rate, satiation, and food intake.

Eating rate is a basic determinant of appetite regulation, as people who eat more slowly feel sated earlier and eat less. Without assistance, eating rate is difficult to modify due to its automatic nature. In the current study, participants used an augmented fork that aimed to decelerate their rate of eating. A total of 114 participants were randomly assigned to the Feedback Condition (FC), in which they received vibrotactile feedback from their fork when eating too fast (i.e., taking more than one bite per 10 s), or a Non-Feedback Condition (NFC). Participants in the FC took fewer bites per minute than did those in the NFC. Participants in the FC also had a higher success ratio, indicating that they had significantly more bites outside the designated time interval of 10 s than did participants in the NFC. A slower eating rate, however, did not lead to a significant reduction in the amount of food consumed or level of satiation. These findings indicate that real-time vibrotactile feedback delivered through an augmented fork is capable of reducing eating rate, but there is no evidence from this study that this reduction in eating rate is translated into an increase in satiation or reduction in food consumption. Overall, this study shows that real-time vibrotactile feedback may be a viable tool in interventions that aim to reduce eating rate. The long-term effectiveness of this form of feedback on satiation and food consumption, however, awaits further investigation.

When does familiarity promote versus undermine interpersonal attraction? A proposed integrative model from erstwhile adversaries.

This article began as an adversarial collaboration between two groups of researchers with competing views on a longstanding question: Does familiarity promote or undermine interpersonal attraction? As we explored our respective positions, it became clear that the limitations of our conceptualizations of the familiarity-attraction link, as well as the limitations of prior research, were masking a set of higher order principles capable of integrating these diverse conceptualizations. This realization led us to adopt a broader perspective, which focuses on three distinct relationship stages-awareness, surface contact, and mutuality-and suggests that the influence of familiarity on attraction depends on both the nature and the stage of the relationship between perceivers and targets. This article introduces the framework that emerged from our discussions and suggests directions for research to investigate its validity.

Less is often more, but not always: additional evidence that familiarity breeds contempt and a call for future research.

Ullrich, Krueger, Brod, and Groschupf (2013)-using a replication of the trait paradigm from Norton, Frost, and Ariely (2007)-suggest that less information does not always equal greater liking. We first ground the current debate in a larger historical debate in social psychology regarding the merits of configural versus algebraic models of person perception. We next review (a) related research that has suggested that more information can in some cases lead to more liking and (b) a large body of "real world" data-from friendships, daters, married couples, employment, celebrities, and politics-that suggests that more information often leads to less liking. We then provide an additional replication of our "less is more" effect, using a slight variation of the trait-list paradigm. The existing data suggest a need for further integrative explorations of when familiarity leads to contempt or liking or has no effect.

Matching the graphical display of data to avoidance versus approach motivation increases outcome expectancies.

This study is the first demonstration of the effect of motivational focus (approach vs. avoidance) on the interpretation of graphical view of personal data, specifically, weight loss progress. In two experiments, participants were randomly assigned to see the bogus weight loss data charted against either a goal or a baseline reference line. In the first experiment, we accessed participants' chronic motivational focus. In the second study, we primed motivation by exposing the participants to either a gain- or loss-focused health message. The results demonstrate that participants with either chronic or manipulated approach motivation predicted higher future weight loss in the goal reference line condition than in the baseline reference line condition. The opposite pattern was observed for participants with either chronic or manipulated avoidance motivation. The potential of matching graphical data display to personality characteristics to promote effective health management is discussed.

Does familiarity breed contempt or liking? Comment on Reis, Maniaci, Caprariello, Eastwick, and Finkel (2011).

Reis, Maniaci, Caprariello, Eastwick, and Finkel (see record 2011-04644-001) conducted 2 studies that demonstrate that in certain cases, familiarity can lead to liking--in seeming contrast to the results of our earlier article (see record 2006-23056-008). We believe that Reis et al. (a) utilized paradigms far removed from spontaneous, everyday social interactions that were particularly likely to demonstrate a positive link between familiarity and liking and (b) failed to include and incorporate other sources of data-both academic and real-world-showing that familiarity breeds contempt. We call for further research exploring when and why familiarity is likely to lead to contempt or liking, and we suggest several factors that are likely to inform this debate.

How the Social Web Supports patient experimentation with a new therapy: The demand for patient-controlled and patient-centered informatics.

The Internet is not simply being used to search for information about disease and treatment. It is also being used by online disease-focused communities to organize their own experience base and to harness their own talent and insight in service to the cause of achieving better health outcomes. We describe how news of a possible effect of lithium on the course of Amyotrophic Lateral Sclerosis (ALS) was acquired by and diffused through an on-line community and led to participation in a patient-driven observational study of lithium and ALS. Our discussion suggests how the social web drives demand for patient-centered health informatics.

Social uses of personal health information within PatientsLikeMe, an online patient community: what can happen when patients have access to one another's data.

BACKGROUND: This project investigates the ways in which patients respond to the shared use of what is often considered private information: personal health data. There is a growing demand for patient access to personal health records. The predominant model for this record is a repository of all clinically relevant health information kept securely and viewed privately by patients and their health care providers. While this type of record does seem to have beneficial effects for the patient-physician relationship, the complexity and novelty of these data coupled with the lack of research in this area means the utility of personal health information for the primary stakeholders-the patients-is not well documented or understood. OBJECTIVE: PatientsLikeMe is an online community built to support information exchange between patients. The site provides customized disease-specific outcome and visualization tools to help patients understand and share information about their condition. We begin this paper by describing the components and design of the online community. We then identify and analyze how users of this platform reference personal health information within patient-to-patient dialogues. METHODS: Patients diagnosed with amyotrophic lateral sclerosis (ALS) post data on their current treatments, symptoms, and outcomes. These data are displayed graphically within personal health profiles and are reflected in composite community-level symptom and treatment reports. Users review and discuss these data within the Forum, private messaging, and comments posted on each other's profiles. We analyzed member communications that referenced individual-level personal health data to determine how patient peers use personal health information within patient-to-patient exchanges. RESULTS: Qualitative analysis of a sample of 123 comments (about 2% of the total) posted within the community revealed a variety of commenting and questioning behaviors by patient members. Members referenced data to locate others with particular experiences to answer specific health-related questions, to proffer personally acquired disease-management knowledge to those most likely to benefit from it, and to foster and solidify relationships based on shared concerns. CONCLUSIONS: Few studies examine the use of personal health information by patients themselves. This project suggests how patients who choose to explicitly share health data within a community may benefit from the process, helping them engage in dialogues that may inform disease self-management. We recommend that future designs make each patient's health information as clear as possible, automate matching of people with similar conditions and using similar treatments, and integrate data into online platforms for health conversations.

Less is more: the lure of ambiguity, or why familiarity breeds contempt.

The present research shows that although people believe that learning more about others leads to greater liking, more information about others leads, on average, to less liking. Thus, ambiguity--lacking information about another--leads to liking, whereas familiarity--acquiring more information--can breed contempt. This "less is more" effect is due to the cascading nature of dissimilarity: Once evidence of dissimilarity is encountered, subsequent information is more likely to be interpreted as further evidence of dissimilarity, leading to decreased liking. The authors document the negative relationship between knowledge and liking in laboratory studies and with pre- and postdate data from online daters, while showing the mediating role of dissimilarity.