Anirudha Joshi

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Typing in an Indian language is currently not an easy task. Significant training is required before one can achieve an acceptable speed and only professional typists make the investment. Part of the complexity arises due to the structure of Indic scripts and large number of characters in each script. Solutions to input text in Indic languages have been(More)
This paper presents a method and results of an ethnographic study aimed at building an understanding of Automatic Teller Machine (ATM) adoption in Mumbai, India. The study combined field observations and semi-structured interviews ðN 1⁄4 43Þ of early ATM adopters, bank customers who do not use ATMs, and people who used the ATM for the first time as part of(More)
In this paper we investigate the problems and potential solutions to the effective establishment of HCI and usability in India and China. Our discussion is motivated by five years of collaboration with relevant bodies in both countries through EU-funded projects encouraging the development of a usability culture in academic and industrial sectors. In order(More)
Mobile and ubiquitous computing researchers have long envisioned future worlds for users in developed regions. Steered by such visions, they have innovated devices and services exploring the value of alternative propositions with and for individuals, groups and communities. Meanwhile, such radical and long-term explorations are uncommon for what have been(More)
Anirudha conducts workshops on HCI for IT professionals where he helps thnem to institutionalize HCI in their organizations. Anirudha undertakles consulting assignments in user studies, interaction design and usabili evaluation. He has authored papers related to HCI in Indian and international conferences and journals. He was the co-chair of the programme(More)
We describe and publish online a corpus containing word frequencies of Marathi texts that were actually typed by 27,474 users using the Android version of the Swarachakra Marathi keyboard on their mobile devices between August 2013 and September 2014. The corpus has 1,484,059 total words and 184,257 unique words. The paper also provides a preliminary(More)