About Contact Help us

Join us ! Publish !

Interaction Design Foundation

Free educational materials - made by the world's technology elite

About sponsorships

References

Priyamvada Tripathi

iPad and tablet version

Publication statistics

Pub. period:2007-2012
Pub. count:5
Number of co-authors:4

Co-authors

Number of publications with 3 favourite co-authors:

Winslow Burleson:2
Sethuraman Panchanathan:1
Anusha Sridaran:1

Productive colleagues

Priyamvada Tripathi's 3 most productive colleagues in number of publications:

Sethuraman Panchan..:20
Winslow Burleson:19
Kanav Kahol:9

Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Intl. Workshop on Design and Spontaneity in Computer-Supported Collaborative Learning (DS-CSCL 2013)

May 22

“ User error: replace user and press any key to continue. ”

-- Popular computer one-liner

Share this quote on...
Get more quotes via RSS or by joining our Usability Quote of the Day Facebook Page

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

Help us help you!

Spread the word:
Donate
Other ways to help

Priyamvada Tripathi

Add description

← Button will not work: You have not enabled Javascript. How do I enable it?

Rename / change spelling

Add publication

← Button will not work: You have not enabled Javascript. How do I enable it?

Publications by Priyamvada Tripathi (bibliography)

2012

Edit | Del

Tripathi, Priyamvada and Burleson, Winslow (2012): Predicting creativity in the wild: experience sample and sociometric modeling of teams. In: Proceedings of ACM CSCW12 Conference on Computer-Supported Cooperative Work 2012. pp. 1203-1212.

“Relationships between creativity in teamwork, and team members' movement and face-to-face interaction strength were investigated "in the wild" using sociometric badges (wearable sensors), electronic Experience Sampling Methods (ESM), the KEYS team creativity assessment instrument, and qualitative methods, in academic and industry settings. Activities (movement and face-to-face interaction) and creativity of one five-member and two seven-member teams were tracked for twenty-five days, eleven days, and fifteen days respectively. Paired-sample t-test confirmed average daily movement energy during creative days was significantly greater than on non-creative days and that face-to-face interaction tie strength of team members during creative days was significantly greater than for non-creative days. The combined approach of principal component analysis (PCA) and linear discriminant analysis (LDA) conducted on movement and face-to-face interaction data yielded a model that predicted creativity with 87.5% and 91% accuracy, respectively. Computational models that predict team creativity hold particular promise to enhance Creativity Support Tools.”

2009

Edit | Del

Tripathi, Priyamvada (2009): Creativity support in IT research organization. In: GROUP09 - International Conference on Supporting Group Work 2009. pp. 391-392.

“All domains of human activity and society require creativity. This dissertation applies machine learning and data mining techniques to create a framework for applying emerging Human Centric Computing (HCC) systems for study and creation of creativity support tools. The proposed system collects and analyzes high-resolution on-line and physically captured contextual and social data to substantially contribute to new and better understandings of workplace behavior, social and affective experience, and creative activities. Using this high granularity data, dynamic instruments that use real-time sensing and inference algorithms to provide guidance and support on events and processes related to affect and creativity will be developed and evaluated. In the long term, it is expected that this approach will lead to adaptive reflective technologies that stimulate collaborative activity, reduce time pressure and interruption, mitigate detrimental effects of negative affect, and increase individual and team creative activity and outcomes.”

Edit | Del

Tripathi, Priyamvada and Burleson, Winslow (2009): Affective support for the creative user. In: Proceedings of the 2009 Conference on Creativity and Cognition 2009. pp. 407-408.

“The relationship between affect and creativity represents an intriguing opportunity for creativity support tools. A fine grain model that links affect with creativity can lead to development of feedback environments that maximize a user's effectiveness and creative output. In this paper, we present an empirical study that will lead us to formulation of such environments for affective support of the user. Five members in a research group reported their daily affect and creativity using an online social science survey. In addition, they used a PDA liken social sensing device called socioscopes that captured their affective and social behavior patterns. The results show that creativity is positively correlated with positive affect. Furthermore, person's speech and movement profiles are also significantly correlated with creativity. More studies are planned for future that will refine these results. Based on these empirical investigations, we propose that creativity support tools will benefit by actively considering the impact of affect on the creative process. Physiological and behavioral sensors can serve an important role in providing this measurement. The proposed research lays the foundation for future work in development of such affect driven real time measurement and modulation systems for creativity support.”

2008

Edit | Del

Tripathi, Priyamvada (2008): Human-Centric Framework for Perceptually Adaptive Interfaces. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 255-256.

“Multimodal interfaces have long held the promise of enhanced and effective human machine interaction. The ultimate goal of multimodal interfaces is to facilitate human activity allowing seamless exchange of information. This goal requires a coordinated development effort that incorporates a thorough understanding of human perceptual system in the design of interfaces. In this manner, multimodal interfaces can supplement and expand current paradigms in human computer interaction. A novel framework is, therefore, proposed for design, development and evaluation of perceptual interactions between human and the computer. The proposed framework hopes to enable interfaces that aim to 'fit' and 'adapt' with the human perceptual system. An empirically driven conceptual approach is used to derive guidelines, create artefacts, and develop models for these perceptually adaptive interfaces.”

2007

Edit | Del

Tripathi, Priyamvada, Kahol, Kanav, Sridaran, Anusha and Panchanathan, Sethuraman (2007): A Model for Visio-Haptic Attention for Efficient Resource Allocation in Multimodal Environments. In: Schmorrow, Dylan and Reeves, Leah (eds.) FAC 2007 - Foundations of Augmented Cognition - Third International Conference July 22-27, 2007, Beijing, China. pp. 329-336.

Add publication