Connection

Sabarish Babu to User-Computer Interface

This is a "connection" page, showing publications Sabarish Babu has written about User-Computer Interface.
Connection Strength

1.172
  1. An immersive virtual peer for studying social influences on child cyclists' road-crossing behavior. IEEE Trans Vis Comput Graph. 2011 Jan; 17(1):14-25.
    View in: PubMed
    Score: 0.326
  2. Did I Hit the Door? Effects of Self-Avatars and Calibration in a Person-Plus-Virtual-Object System on Perceived Frontal Passability in VR. IEEE Trans Vis Comput Graph. 2022 12; 28(12):4198-4210.
    View in: PubMed
    Score: 0.185
  3. A virtual experimenter does not increase placebo hypoalgesia when delivering an interactive expectancy manipulation. Sci Rep. 2020 11 23; 10(1):20353.
    View in: PubMed
    Score: 0.162
  4. Evaluating Multiple Levels of an Interaction Fidelity Continuum on Performance and Learning in Near-Field Training Simulations. IEEE Trans Vis Comput Graph. 2018 04; 24(4):1418-1427.
    View in: PubMed
    Score: 0.135
  5. Effects of Virtual Human Appearance Fidelity on Emotion Contagion in Affective Inter-Personal Simulations. IEEE Trans Vis Comput Graph. 2016 Apr; 22(4):1326-35.
    View in: PubMed
    Score: 0.116
  6. Effects of virtual human animation on emotion contagion in simulated inter-personal experiences. IEEE Trans Vis Comput Graph. 2014 Apr; 20(4):626-35.
    View in: PubMed
    Score: 0.102
  7. Responses to a virtual reality grocery store in persons with and without vestibular dysfunction. Cyberpsychol Behav. 2006 Apr; 9(2):152-6.
    View in: PubMed
    Score: 0.059
  8. Comparison of path visualizations and cognitive measures relative to travel technique in a virtual environment. IEEE Trans Vis Comput Graph. 2005 Nov-Dec; 11(6):694-705.
    View in: PubMed
    Score: 0.057
  9. A virtual experimenter to increase standardization for the investigation of placebo effects. BMC Med Res Methodol. 2016 07 18; 16:84.
    View in: PubMed
    Score: 0.030
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.